The 66 Best Big Data Tools and Software to Consider for 2022

The Best Big Data Tools and Software

Solutions Review’s listing of the best big data tools and software is an annual mashup of products that best represent current market conditions, according to the crowd. Our editors selected the best big data tools and software based on each solution’s Authority Score; a meta-analysis of real user sentiment through the web’s most trusted business software review sites and our own proprietary five-point inclusion criteria.

The editors at Solutions Review have developed this resource to assist buyers in search of the best big data tools to fit the needs of their organization. Choosing the right vendor and solution can be a complicated process — one that requires in-depth research and often comes down to more than just the solution and its technical capabilities. To make your search a little easier, we’ve profiled the best big data tools and software providers all in one place. We’ve also included platform and product line names and introductory software tutorials straight from the source so you can see each solution in action.

Note: The best big data tools and software are listed in alphabetical order.

The Best Big Data Tools and Software

The Best Big Data Analytics Tools and Software

Altair

Platform: Altair One

Related products: Altair Monarch, Altair Knowledge Hub, Altair Knowledge Studio, Altair Panopticon

Description: Altair offers an open, scalable, unified, and extensible data analytics platform with integrated data transformation and predictive analytics tools. Desktop-based data preparation is available via Altair Monarch, while Knowledge Hub features team-driven data prep and a centralized data marketplace to speed collaboration and governance. Machine learning and predictive analytics are made available inside Knowledge Studio. Altair Panopticon houses the company’s streaming processing and real-time visualization capabilities.

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Alteryx

Platform: Alteryx Platform

Related products: Alteryx Designer, Alteryx Server, Alteryx Connect, Alteryx Promote

Description: Alteryx is a self-service data analytics software company that specializes in data preparation and data blending. Alteryx Analytics allows users to organize, clean, and analyze data in a repeatable workflow. Business analysts find this tool particularly useful for connecting to and cleansing data from data warehouses, cloud applications, spreadsheets and other sources. The platform features tools to run a variety of analytic jobs (predictive, statistical, spatial) inside a single interface.

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Amazon Web Services

AWS 150

Platform: Amazon QuickSight

Description: Amazon QuickSight is a serverless and embeddable business intelligence service for the cloud featuring built-in machine learning. The product lets you create and publish interactive BI dashboards that can be queried using natural language. It can automatically scale to thousands of users without any infrastructure. QuickSight also touts pay-per-session pricing so customers only pay when users access dashboards or reports. Dashboards can be accessed from any device.

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Domo

Domo

Platform: Domo

Related products: Domo Everywhere, Domo integration Cloud

Description: Domo is a cloud-based, mobile-first BI platform that helps companies drive more value from their data by helping organizations better integrate, interpret and use data to drive timely decision-making and action across the business. The Domo platform enhances existing data warehouse and BI tools, and allows users to build custom apps, automate data pipelines, and make data science accessible for anyone across the organization through automated insights that can be easily shared with internal or external stakeholders.

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Hitachi Vantara

Hitachi Vantara

Platform: Pentaho Platform

Related products: Lumada Data Services, Pentaho Data Integration

Description: Hitachi’s Pentaho analytics platform allows organizations to access and blend all types and sizes of data. The product offers a range of capabilities for big data integration and data preparation. The Pentaho platform is purpose-built for embedding into and integrating with applications, portals, and processes. Organizations can embed a range of analytics, including visualizations, reports, ad hoc analysis, and tailored dashboards. It also extends to third-party charts, graphs and visualizations via an open API for a wider selection of embeddable analytics.

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IBM

Platform: Cognos Analytics

Related products: IBM Watson Analytics, IBM Watson Studio, IBM Hybrid Data Management

Description: IBM offers an expansive range of BI and analytic capabilities under two distinct product lines. The Cognos Analytics platform is an integrated self-service solution that allows users to access data to create dashboards and reports. IBM Watson Analytics offers a machine learning-enabled user experience that includes automated pattern detection, support for natural language query and generation, and embedded advanced analytics capabilities. IBM’s BI software can be deployed both on-prem or as a hosted solution via the IBM Cloud.

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Looker

Platform: Looker

Related products: Powered by Looker

Description: Looker offers a BI and data analytics platform that is built on LookML, the company’s proprietary modeling language. The product’s application for web analytics touts filtering and drilling capabilities, enabling users to dig into row-level details at will. Embedded analytics in Powered by Looker utilizes modern databases and an agile modeling layer that allows users to define data and control access. Organizations can use Looker’s full RESTful API or the schedule feature to deliver reports by email or webhook.

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Microsoft

Platform: Power BI

Related products: Power BI Desktop, Power BI Report Server

Description: Microsoft is a major player in enterprise BI and analytics. The company’s flagship platform, Power BI, is cloud-based and delivered on the Azure Cloud. On-prem capabilities also exist for individual users or when power users are authoring complex data mashups using in-house data sources. Power BI is unique because it enables users to do data preparation, data discovery, and dashboards with the same design tool. The platform integrates with Excel and Office 365, and has a very active user community that extends the tool’s capabilities.

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MicroStrategy

MicroStrategy

Platform: MicroStrategy 2020

Description: MicroStrategy merges self-service data preparation and visual data discovery in an enterprise BI and analytics platform. MicroStrategy provides out-of-the-box gateways and native drivers that connect to any enterprise resource, including databases, mobile device management (MDM) systems, enterprise directories, cloud applications and physical access control systems. Its embedded analytics tool allows MicroStrategy to be embedded in other web pages and applications such as portals, CRM tools, chatbots and even voice assistants like Alexa.

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Oracle

Platform: Oracle Analytics Cloud

Related products: Oracle Data Visualization Desktop

Description: Oracle offers a broad range of BI and analytics tools that can be deployed on-prem or in the Oracle Cloud. The company provides traditional BI capabilities inside its Business Intelligence 12c solution. Oracle Data Visualization provides more advanced features, and allows users to automatically visualize data as drag-and-drop attributes, charts, and graphs. The tool also enables users to save snapshots of an analytical moment-in-time via story points.

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Pyramid Analytics

Platform: The Analytics OS (Pyramid v2020)

Description: Pyramid Analytics offers data and analytics tool through its flagship platform, Pyramid v2020. The solution touts a server-based, multi-user analytics OS environment that provides self-service capabilities. Pyramid v2020 features a platform-agnostic architecture that allows users to manage data across any environment, regardless of technology. The tool enables those users to prepare, model, visualize, analyze, publish, and present data from web browsers and mobile devices.

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Qlik

Qlik

Platform: Qlik Analytics Platform

Related products: QlikView, Qlik Sense

Description: Qlik offers a broad spectrum of BI and analytics tools, which is headlined by the company’s flagship offering, Qlik Sense. The solution enables organizations to combine all their data sources into a single view. The Qlik Analytics Platform allows users to develop, extend and embed visual analytics in existing applications and portals. Embedded functionality is done within a common governance and security framework. Users can build and embed Qlik as simple mashups or integrate within applications, information services or IoT platforms.

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Salesforce

Platform: Einstein Analytics Platform

Related products: Salesforce Einstein Discovery, Salesforce Einstein Data Insights

Description: The Salesforce Einstein Analytics platform is available in a number of flavors based on role, industry and included features. The product’s automated data discovery capabilities enable users to answer questions based on transparent and understandable AI models. Users can also tailor analytics to their use case and enhance insights with precise recommendations and specific guidance. Einstein lets you create advanced experiences using customizable templates, third-party apps, or custom-build dashboards as well.

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SAP

Platform: SAP Analytics Cloud

Related products: SAP BusinessObjects BI, SAP Crystal Solutions

Description: SAP offers a broad range of BI and analytics tools in both enterprise and business-user driven editions. The company’s flagship BI portfolio is delivered via on-prem (BusinessObjects Enterprise), and cloud (BusinessObjects Cloud) deployments atop the SAP HANA Cloud. SAP also offers a suite of traditional BI capabilities for dashboards and reporting. The vendor’s data discovery tools are housed in the BusinessObjects solution, while additional functionality, including self-service visualization, are available through the SAP Lumira tool set.

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SAS

Platform: SAS Visual Analytics

Related products: SAS Viya, SAS Visual Data Mining and Machine Learning

Description: SAS Visual Analytics is available on-prem or in the cloud. Visual Analytics allows users to visually explore data to automatically highlight key relationships, outliers, and clusters. Users can also take advantage of advanced visualizations and guided analysis through autocharting. SAS has made its name as a result of advanced analytics, as the tool can ingest data from diverse data sources and handle complex models. In addition to BI, SAS offers data management, IoT, personal data protection, and Hadoop tools.

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Sigma Computing

Platform: Sigma Platform

Description: Sigma Computing offers a no-code business intelligence and analytics solution designed for use with cloud data warehouses. The product features an intuitive, spreadsheet-like user interface that provides users with the familiarity of Excel. Guided data warehouse access ensures that data remains secure, compliant, and in context. When users take action in Sigma, it automatically translates them into SQL. All queries are run live against the cloud data warehouse, and the results are passed back to Sigma.

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Sisense

Platform: Sisense

Description: Sisense makes it easy for organizations to reveal business insight from complex data in any size or format. The product allows users to combine data and uncover insights in a single interface without scripting, coding or assistance from IT. Sisense is sold as a single-stack solution with a back end for preparing and modeling data. It also features expansive analytical capabilities, and a front-end for dashboarding and visualization. Sisense is most appropriate for organizations that want to analyze large amounts of data from multiple sources.

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Tableau Software

Platform: Tableau Desktop

Related products: Tableau Prep, Tableau Server, Tableau Online, Tableau Data Management

Description: Tableau offers an expansive visual BI and analytics platform, and is widely regarded as the major player in the marketplace. The company’s analytic software portfolio is available through three main channels: Tableau Desktop, Tableau Server, and Tableau Online. Tableau connects to hundreds of data sources and is available on-prem or in the cloud. The vendor also offers embedded analytics capabilities, and users can visualize and share data with Tableau Public.

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ThoughtSpot

Platform: ThoughtSpot

Description: ThoughtSpot is heavily influenced by artificial intelligence and automation. While it may seem complex, ease of use is a strength of the product. It features a full-stack architecture and intuitive insight generation capabilities via the in-memory calculation engine. A distributed cluster manager provides customizable scaling options, and support for existing ETL solutions ensures proper connectivity to desired data sources. ThoughtSpot Embrace allows you to run search and AI analytics directly in existing databases, and supports Google Cloud Storage.

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TIBCO

Platform: TIBCO Spotfire

Related products: TIBCO Jaspersoft, TIBCO Data Science

Description: TIBCO’s product capabilities are expansive, and range from data integration and API management to visual analytics, reporting, and data science. The company’s BI and analytics portfolio comes in two main iterations: TIBCO Spotfire and TIBCO Jaspersoft. TIBCO Spotfire is the company’s more modern platform. It features interactive visualization, data preparation, enterprise-class governance, and advanced analytic capabilities. TIBCO Jaspersoft supports traditional reporting and embedded BI functionality.

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Yellowfin BI

Platform: Yellowfin Suite

Description: Yellowfin is an Australia-based BI and analytics company that specializes in dashboards and data visualization. Its platform features a machine learning algorithm called Assisted Insights that provides automatic answers in the form of easy-to-understand best practice visualizations and narratives. Yellowfin comes pre-built with a variety of dashboards, and users can embed interactive reports into third-party platforms, such as a web page, wiki, or company intranet. The company also offers native apps for mobile devices.

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The Best Big Data ETL Tools and Software

Adeptia

Platform: Adeptia Connect

Description: Adeptia offers enterprise data integration tools that can be used by non-technical business users. Adeptia Connect features a simple user interface to manage all external connections and data interfaces. It also includes self-service partner onboarding and a no-code approach that lets users and partners view, setup and manage data connections. The platform touts a suite of pre-built connections and Cloud Services Integration, as well as B2B standards and protocol support.

Learn more and compare products with the Solutions Review Buyer’s Guide for Data Integration Tools.

Alooma

Platform: Alooma Platform

Description: Alooma offers a data pipeline service that integrates with popular data sources. The Alooma platform features end-to-end security, which ensures that every event is securely transferred to a data warehouse (SOC2, HIPAA, and EU-US Privacy Shield certified). The solution responds to data changes in real-time to make sure no events are lost. Users can choose to manage changes automatically or get notified and make changes on-demand. The tool also infers data automatically to provide customizable control.

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CData Software

Platform: CData Driver Technologies

Description: CData Software offers data integration solutions for real-time access to online or on-prem applications, databases, and Web APIs. The vendor specializes in providing access to data through established data standards and application platforms such as ODBC, JDBC, ADO.NET, SSIS, BizTalk, and Microsoft Excel. CData Software products are broken down into six categories: driver technologies, enterprise connectors, data visualization, ETL and ELT solutions, OEM and custom drivers, and cloud and API connectivity.

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Fivetran

Platform: Fivetran

Description: Fivetran is an automated data integration platform that delivers ready-to-use connectors, transformations and analytics templates that adapt as schemas and APIs change. The product can sync data from cloud applications, databases, and event logs. Integrations are built for analysts who need data centralized but don’t want to spend time maintaining their own pipelines or ETL systems. Fivetran is easy to deploy, scalable, and offers some of the best security features of any provider in the space.

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Hevo Data

Description: Hevo Data offers a no-code data pipeline for loading data into data warehouses. Data can be loaded from a wide variety of sources like relational databases, NoSQL databases, SaaS applications, files or S3 buckets into any warehouse (Amazon Redshift, Google BigQuery, Snowflake) in real-time. Hevo supports more than 100 pre-built integrations, and all of them are native and tout specific source APIs. The solution features a streaming architecture as well. Hevo detects schema changes on incoming data and automatically replicates the same in your destinations.

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Hitachi Vantara

Platform: Pentaho Platform

Related products: Lumada Data Services

Description: Hitachi Vantara’s Pentaho platform for data integration and analytics offers traditional capabilities and big data connectivity. The solution supports the latest Hadoop distributions from Cloudera, Hortonworks, MapR, and Amazon Web Services. However, one of the tool’s shortcomings is that its big data focus takes attention away from other use cases. Pentaho can be deployed on-prem, in the cloud, or via a hybrid model. The tool’s most recent update to version 8 features Spark and Kafka stream processing improvements and security add-ons.

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IBM

Platform: IBM InfoSphere Information Server

Related products: IBM InfoSphere Classic Federation Server, IBM InfoSphere Data Replication, IBM InfoSphere DataStage, IBM App Connect, IBM Streams, IBM Data Refinery, IBM BigIntegrate, IBM Cloud Integration

Description: IBM offers several distinct data integration tools in both on-prem and cloud deployments, and for virtually every enterprise use case. Its on-prem data integration suite features tools for traditional (replication and batch processing) and modern integration synchronization and data virtualization) requirements. IBM also offers a variety of prebuilt functions and connectors. The mega-vendor’s cloud integration product is widely considered one of the best in the marketplace, and additional functionality is coming in the months ahead.

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Informatica

Platform: Informatica Intelligent Data Platform

Related products: Informatica PowerCenter, Informatica PowerExchange, Informatica Data Replication, Informatica B2B Data Transformation, Informatica B2B Data Exchange, Informatica Big Data Integration Hub, Informatica Data Services, Informatica Big Data Management, Informatica Big Data Integration Hub, Informatica Big Data Streaming, Informatica Enterprise Data Catalog, Informatica Enterprise Data Preparation, Informatica Edge Data Streaming, Informatica Intelligent Cloud Services

Description: Informatica’s data integration tools portfolio includes both on-prem and cloud deployments for a number of enterprise use cases. The vendor combines advanced hybrid integration and governance functionality with self-service business access for various analytic functions. Augmented integration is possible via Informatica’s CLAIRE Engine, a metadata-driven AI engine that applies machine learning. Informatica touts strong interoperability between its growing list of data management software products.

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Keboola

Platform: Keboola

Description: Keboola is a cloud-based data integration platform that connects data sources to analytics platforms. It supports the entire data workflow process, from the point of data extraction, preparation, cleansing, warehousing, and all the way to its integration, enrichment, and loading. Keboola offers more than 200 integrations and features an environment that allows users to build their own data applications or integrations using GitHub and Docker. The product can also automate low-value activities while account for audit trail, version control and access management.

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Matillion

Platform: Matillion ETL

Related products: Matillion Data Loader

Description: Matillion offers a cloud-native data integration and transformation platform that is optimized for modern data teams. It also features built on native integrations to popular cloud data platforms like Snowflake, Delta Lake on Databricks, Amazon Redshift, Google BigQuery, and Microsoft Azure Synapse. Matillion uses an extract-load-transform approach that handles the extract and load in one move, straight to an organization’s target data platform, then using the power of a cloud data platform’s processes to perform transformations once loaded.

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Microsoft

Platform: SQL Server Integration Services (SSIS)

Related products: Azure Data Factory cloud integration service

Description: Microsoft offers its data integration functionality on-prem and in the cloud (via Integration Platform as a Service). The company’s traditional integration tool, SQL Server Integration Services (SSIS), is included inside the SQL Server DBMS platform. Microsoft also touts two cloud SaaS products: Azure Logic Apps and Microsoft Flow. Flow is ad hoc integrator-centric and included in the overarching Azure Logic Apps solution.

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Oracle

Platform: Oracle Data Integration Cloud Service

Related products: Oracle GoldenGate, Oracle Data Integrator, Oracle Big Data SQL, Oracle Service Bus, Oracle Integration Cloud Service (iPaaS)

Description: Oracle offers a full spectrum of data integration tools for traditional use cases as well as modern ones, in both on-prem and cloud deployments. The company’s product portfolio features technologies and services that allow organizations to full lifecycle data movement and enrichment. Oracle data integration provides pervasive and continuous access to data across heterogeneous systems via bulk data movement, transformation, bidirectional replication, metadata management, data services, and data quality for customer and product domains.

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Panoply

Description: Panoply automates data management tasks associated with running big data in the cloud. Smart Data Warehouse require no schema, modeling, or configuration. Panoply features an ETL-less integration pipeline that can connect to structured and semi-structured data sources. It also offers columnar storage and automatic data backup to a redundant S3 storage framework.

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Precisely

Platform: Precisely Data Integrity Suite, Precisely Connect

Related products: Precisely Data Integrity Suite Data Integration Module, Precisely Ironstream

Description: The data integration module of the Precisely Data Integrity Suite is one of seven SaaS modules that ensure data is accurate, consistent, and contextual. It is complemented by Precisely Connect, an on-prem data integration solution that supports a broad range of source and target systems. Both solutions leverage Precisely’s deep expertise in mainframe and IBM i systems to integrate complex data formats into modern cloud platforms like Snowflake and Databricks. Precisely Ironstream also integrates mainframe and IBM i machine and log data into IT platforms like Splunk and ServiceNow for IT operations management, analytics, and security.

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Qlik

Platform: Qlik Replicate

Related products: Qlik Compose, Qlik Catalog, Qlik Blendr.io

Description: Qlik offers a range of integration capabilities that span four product lines. The flagship product is Qlik Replicate, a tool that replicates, synchronizes, distributes, consolidates, and ingests data across major databases, data warehouses, and Hadoop. The portfolio is buoyed by Qlik Compose for data lake and data warehouse automation and Qlik Catalog for enterprise self-service cataloging. Qlik also offers Integration Platform as a Service functionality through its Blendr.io product, which touts API connectivity, no-code integration and application automation.

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SAP

Platform: SAP Data Services

Related products: SAP Replication Server, SAP Landscape Transformation Replication Server, SAP Data Hub, SAP HANA, SAP Cloud Integration Platform Suite, SAP Cloud Platform

Description: SAP provides on-prem and cloud integration functionality through two main channels. Traditional capabilities are offered through SAP Data Services, a data management platform that provides capabilities for data integration, quality, and cleansing. Integration Platform as a Service features are available through the SAP Cloud Platform. SAP’s Cloud Platform integrates processes and data between cloud apps, 3rd party applications, and on-prem solutions.

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SAS

Platform: SAS Data Management

Related products: SAS Data Integration Studio, SAS Federation Server, SAS/ACCESS, SAS Data Loader for Hadoop, SAS Data Preparation, SAS Event Stream Processing

Description: SAS is the largest independent vendor in the data integration tools market. The provider offers its core capabilities via SAS Data Management, where data integration and quality tools are interwoven. It includes flexible query language support, metadata integration, push-down database processing, and various optimization and performance capabilities. The company’s data virtualization tool, Federation Server, enables advanced data masking and encryption that allows users to determine who’s authorized to view data.

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Striim

Platform: Striim Platform

Related products: Striim for Azure, Striim for Amazon Web Services, Striim for Google Cloud Platform, Striim for Snowflake

Description: Striim offers a real-time data integration solution that enables continuous query processing and streaming analytics. Striim integrates data from a wide variety of sources, including transaction/change data, events, log files, application and IoT sensor, and real-time correlation across multiple streams. The platform features pre-built data pipelines, out-of-the-box wizards for configuration and coding, and a drag-and-drop dashboard builder.

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Talend

Platform: Talend Open Studio

Related products: Talend Data Fabric, Talend Data Management Platform, Talend Big Data Platform, Talend Data Services Platform, Talend Integration Cloud, Talend Stitch Data Loader

Description: Talend offers an expansive portfolio of data integration and data management tools. The company’s flagship tool, Open Studio for Data Integration, is available via a free open-source license. Talend Integration Cloud is offered in three separate editions (SaaS, hybrid, elastic), and provides broad connectivity, built-in data quality, and native code generation to support big data technologies. Big data components and connectors include Hadoop, NoSQL, MapReduce, Spark, machine leaning and IoT.

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The Best Big Data Management Software and Platforms

1010data

1010Data

Description: 1010data provides integrated capabilities for database management and data analytics. The company’s flagship product, 1010edge, also features data modeling and visualization, reporting, and application development. 1010 brings disparate data together to provide a granular view, and the solution scales to any size. In addition, the tool’s columnar data storage capabilities present data in an orderly fashion.

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Amazon Web Services

Description: Amazon Web Services (AWS) offers Amazon Redshift, a fully managed, petabyte-scale data warehouse that analyzes data using an organization’s existing analytic software. Redshift’s data warehouse architecture allows users to automate common administrative tasks associated with provisioning, configuring, and monitoring cloud data warehousing. Backups to Amazon S3 are continuous, incremental and automatic. Redshift also includes Redshift Spectrum, allowing users to directly run SQL queries against large volumes of unstructured data without transforming.

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Ataccama

Platform: Ataccama ONE

Description: Ataccama ONE is a comprehensive master data management product that offers an intriguing list of capabilities for many use cases. The solution offers a machine learning-centric user interface, as well as a data processing engine that is responsible for data transformations, evaluating business rules, and matching and merging rules. The platform supports any data, domain, and a variety of integrations.

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Cloudera

Description: Cloudera provides a data storage and processing platform based on the Apache Hadoop ecosystem, as well as a proprietary system and data management tools for design, deployment, operations, and production management. Cloudera acquired Hortonworks in October 2018. It followed that up with a buy of San Mateo-based big data analytics provider Arcadia Data last September. Cloudera’s new integrated data management product (Cloudera Data Platform) enables analytics across hybrid and multi-cloud.

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Collibra

Platform: Collibra Platform

Related products: Collibra Catalog, Collibra Privacy & Risk

Description: Collibra’s Data Dictionary documents an organization’s technical metadata and how it is used. It describes the structure of a piece of data, its relationship to other data, and its origin, format, and use. The solution serves as a searchable repository for users who need to understand how and where data is stored and how it can be used. Users can also document roles and responsibilities and utilize workflows to define and map data. Collibra is unique because the product was built with business end-users in mind.

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Commvault

Description: Commvault is well-known in the backup and disaster recovery marketplace, performing as one of the top solution providers. The company also offers a cloud data management product that allows organizations to manage data via on-prem and cloud deployments. Users can fully manage data across files, applications, databases, hypervisors, and clouds (including Amazon Web Services, Microsoft Azure, Google Cloud, and Oracle Cloud). The tool also includes Commvault’s popular backup and disaster recovery, as well as e-discovery, capabilities.

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Druva

Description: Druva Phoenix offers data availability and governance functionality for virtual machines and physical servers. Its cloud-centric approach is unique and combines high-performance, scalable backup, disaster recovery, archival, and analytics. The product can be deployed quickly at sites located around the world while also aligning with regional data storage regulations. Phoenix can also be managed from a central location to provide full control over server backups and data composition.

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Google

Description: Google offers a fully-managed enterprise data warehouse for analytics via its BigQuery product. The solution is serverless and enables organizations to analyze any data by creating a logical data warehouse over managed, columnar storage, and data from object storage and spreadsheets. BigQuery captures data in real-time using a streaming ingestion feature, and it’s built atop the Google Cloud Platform. The product also provides users the ability to share insights via datasets, queries, spreadsheets, and reports.

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Hewlett Packard Enterprise (HPE)

Description: Hewlett Packard Enterprise (HPE) is the enterprise software arm of the computer hardware giant HP. The vendor offers a cloud-based database management solution on Amazon Web Services, Microsoft Azure, or via an individually licensed model. Vertica provides an MPP SQL analytical database with linear scaling native high availability that allows organizations to query data in near real-time.

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Hitachi Vantara

Description: Hitachi Vantara is a wholly-owned subsidiary of Hitachi, Ltd., and offers an expansive portfolio of products for integrating, managing, and analyzing data. Hitachi’s portfolio of data management solutions are best suited for modern environments and can help organizations to quickly improve their key performance metrics, including business continuity, backup windows, operational recovery and disaster recovery. The tool also provides data protection and recovery for complex enterprise architectures.

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IBM

Description: IBM has data management products for virtually every enterprise use case. Its products can be deployed in any environment, and partnerships with some of the other top names in the marketplace make it an even more intriguing option for organizations with large workloads and expansive data jobs. IBM also offers its Informix database that can integrate SQL, NoSQL/JSON, time series, and spatial data.

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Informatica

Description: Informatica’s big data management platform allows organizations to access, integrate, clean, master, govern, and secure big data. The tool features purpose-built connectors to hundreds of data sources, real-time streaming, and mass ingestion. Informatica’s visual developer interface also ensures that the best open-source platforms can be adopted without sacrificing usability. Public cloud support for Big Data Management is available on AWS and Microsoft Azure.

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MarkLogic

MarkLogic

Description: MarkLogic offers an operational and transactional enterprise NoSQL database that is designed to integrate, store, manage, and search for data. Organizations can ingest structured and unstructured data with a flexible data model that adapts to changing data. It also natively stores JSON, XML, text, and geospatial data. MarkLogic’s Universal Index enables users to search across all data, and APIs enable application development and deployment. The database has ACID transactions, scalability and elasticity, and certified security as well.

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Microsoft

Description: Microsoft offers an array of data management products, including those for analytics, data governance, and even data virtualization. Its SQL Server solution provides data warehousing for both on-prem and cloud deployments, as well as an in-memory database. Microsoft allows organizations to access, store, and analyze any kind of data and even offers fully-managed Hadoop and Spark. The company is one of the major players in the overall big data marketplace, with top-ranked tools in business intelligence and data integration.

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Oracle

Description: Oracle’s suite of data management capabilities allows users to manage both traditional and new data sets on its cloud platform. The company also offers an autonomous data warehouse cloud with more than 2,000 SaaS applications. The platform runs the gamut of big data functionality, with support for data integration and analytics as well. Its other data management offerings include Oracle Big Data Cloud, Oracle Big Data Cloud Service, Oracle Big Data SQL Cloud Service, and Oracle NoSQL Database.

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Precisely

Precisely

Description: Precisely’s solution portfolio is broken into five distinct categories based on the use case. Integrate is its data integration line that features Precisely Connect, Ironstream, Assure, and Syncsort. The Verify unit of data quality tools includes Precisely Spectrum Quality, Spectrum Context, and Trillium. The Location Intelligence Suite (Locate) touts Precisely Spectrum Spatial, Spectrum Geocoding, and MapInfo, while Enrich features Precisely Streets, Boundaries, Points Of Interest, Addresses, and Demographics. There’s also Precisely Engage on the company’s Engage unit. 

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Riversand

Description: Riversand is a master data management (MDM) and product information management solution provider. The company’s MDM offering features a multi-domain core designed to provide a complete view of enterprise data. In addition, Riversand includes high-scale computing, a set of streamlined collaboration tools, and data governance functionality. Reporting via the vendor’s data visualization product is included with each license and offers users the ability to run advanced analysis via charts, tables, and dashboards.

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SAP

SAP

Description: SAP offers its data management capabilities on a single platform. SAP HANA allows users to collect and combine all types of data in real-time, as well as enhance data governance, monitoring, and orchestration. Users can also create a unified view of data with smart data integration that enables advanced applications and data management. The platform is flexible and can be deployed on-prem, in the cloud, or via hybrid deployments. HANA is an in-memory tool with fast data processing and advanced analytics with OLAP and OLTP processing.

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SAS

Description: SAS is the largest independent vendor in the data management marketplace. The company’s main product is built atop a data quality platform that allows users to improve, integrate, and govern enterprise data. SAS Data Management can ingest data from legacy systems and Hadoop, and create rules once and reuse them. In addition, users can update data, tweak processes, and analyze results themselves. A built-in business glossary as well as third-party metadata management and lineage visualization capabilities allow for collaboration.

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SingleStore

Description: SingleStore can ingest and transform millions of events per day while also analyzing billions of rows of data using standard SQL. It can be deployed on-prem, in the cloud via Amazon Web Services or Microsoft Azure, or as a service including drop-in compatibility with existing middleware, integration, and BI software. The tool offers excellent real-time data streaming capabilities, and now provides more efficient query isolation for large volumes of data and many users. 

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Snowflake

Snowflake

Description: Snowflake offers a cloud data warehouse built atop Amazon Web Services. The solution loads and optimizes data from virtually any source, both structured and unstructured, including JSON, Avro, and XML. Snowflake features broad support for standard SQL, and users can do updates, deletes, analytical functions, transactions, and complex joins as a result. The tool requires zero management and no infrastructure. The columnar database engine uses advanced optimizations to crunch data, process reports, and run analytics.

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Stibo Systems

Description: The Stibo Trailblazer Enterprise Platform (STEP) features data quality capabilities designed to handle data profiling, data matching, and enrichment with external reference data. It also includes a user-friendly interface for implementing business rules, checks, and controls. The graphical interface verifies uncertain de-duplication and matching with external sources.

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Talend

Description: Talend offers an expansive portfolio of data integration and data management tools. The company’s flagship data management product, Talend Data Management Platform, features graphical tools and wizards, and more than 900 pre-built components and connectors to natively connect databases, flat files, and cloud-based applications. An included data mapper and parsing capabilities allow users to map complex EBCDIC files, XML, JSON, and EDI documents.

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Teradata

Teradata

Description: Teradata offers a broad spectrum of data management solutions that include database management, cloud data warehousing, and data warehouse appliances. The company’s product portfolio is available on its own managed cloud and on Amazon Web Services and Microsoft Azure. Teradata provides organizations the ability to run diverse queries, in-database analytics, and complex workload management.

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TIBCO

TIBCO Software

Description: TIBCO touts an impressive portfolio of data management products under its product line called TIBCO Unify. The Unify suite is made up of TIBCO DQ (for data quality), TIBCO EBX (for master data management), and TIBCO Data Virtualization. TIBCO’s data management capabilities are infused with AI and machine learning to automate manual processes. The company has developed its line of big data products through both in-house development and acquisitions. TIBCO is also a leading provider in the BI and data analytics space. 

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Zaloni

Description: The Zaloni Data Management Platform operationalizes data along the entire pipeline, from data source to consumer. ZDP automates repeatable data management tasks and processes and provides central management of all enterprise data sources whether on-prem, cloud, multi-cloud, or hybrid. Zaloni is compatible with all major Hadoop distributions, most data processing engines, and applicable deployment models.

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Timothy King
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