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Data Management and Data Warehouse Solutions Directory

Below is a directory of Data Management and Data Warehouse vendors, platforms and software solutions including a company overview, links to social media and contact information for the Top 28 Data Management providers. If you would like a printed version of this page including complete solutions profiles and a list of the top questions to ask in an RFP – Request for Proposal, click here for a Free PDF.

1010Data
Solutions Overview

1010data is based in New York and provides integrated capabilities for database management and data analytics. The company’s flagship product, 1010edge, also features data modeling and visualization, reporting, and applic...

1010data is based in New York and 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. 1010data has raised $35 million in venture capital since its founding in 2000.

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1010data is a managed service provider, and the company’s Insights Platform is known to handle large data volumes with relative ease. The vendor offers traditional data management functionality, as well as features considered to be core capabilities of software providers in horizontal markets. 1010data’s product is targeted at businesses in the financial services, retail, telecom, government, and healthcare. Solutions Review named 1010data one of the Best Data Management Platforms for 2022.

Solutions Overview

Alation Data Catalog helps you find, understand, and govern all enterprise data through a single pane of glass. The product uses machine learning to index and make discoverable a wide variety of data sources including rel...

Alation Data Catalog helps you find, understand, and govern all enterprise data through a single pane of glass. The product uses machine learning to index and make discoverable a wide variety of data sources including relational databases, cloud data lakes, and file systems. Alation democratizes data to deliver quick access alongside metadata to guide compliant, intelligent data usage with vital context. Conversations and wiki-like articles capture knowledge and guide newcomers to the appropriate subject-matter expert. The intelligent SQL editor empowers users to query in natural language, surfacing recommendations, compliance flags, and relevant policies as users query, to simplify and accelerate excellence in query writing for a broader class of user.

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Alation offers a consumer-grade, user-friendly platform that welcomes more people to high-value data, alongside the context they need to use it powerfully and compliantly. Powered by some of the most advanced machine learning and AI capabilities in this space, Alation’s other main strengths include tools for active metadata and cross-user collaboration. Active data governance is offered through a business-led approach. Recent product enhancements include a new table view, metadata search, and data quality integrations with a range of partners. Prebuilt connectors enable the data catalog tool to access data from a range of data sources.

Solutions Overview

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 t...

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 loading or transforming.

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Amazon Redshift is integrated with other AWS services and has built-in commands for loading data in parallel nodes from Amazon S3, Amazon DynamoDB, or your EC3 and on-prem servers. Users can accomplish this via AWS Data Pipeline, Amazon Kinesis, and AWS Lambda integration with Redshift as the target. Users can also load streaming data into Amazon Redshift using Amazon Kinesis Firehose. Amazon is a dominant player in the cloud marketplace, and a broad spectrum of deployment options provide prospective organizations with the ability to select only the capabilities they need.

Solutions Overview

Astronomer offers a data orchestration platform that helps with the deployment, management, and scaling of distributed Apache Airflow services. The tool lets you manage DAGs, users, logs, alerts, and version upgrades in a...

Astronomer offers a data orchestration platform that helps with the deployment, management, and scaling of distributed Apache Airflow services. The tool lets you manage DAGs, users, logs, alerts, and version upgrades in a single place. Astronomer also includes notebook and command-line interfaces for automating testing on data before it hits production, as well as best-in-class security and support from expert engineers through the commercial entity behind Airflow OSS.

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Astronomer’s data orchestration capabilities on Airflow are available in a number of industries, including the financial services, retail, and technology. Key use cases include Airflow upgrades, data integration, data science and machine learning, operational analytics, and retail and e-commerce. Astronomer is available for AWS, Google Cloud, Microsoft Azure, and dbt Core. The company is on a meteoric rise, having raised $213 million in Series C funding and acquiring Datakin in March 2022.

Solutions Overview

Ataccama is a master and reference data management provider based in Toronto, Canada. The company’s flagship product is Ataccama ONE, a tool that features data profiling and cataloging, data quality and governance, and ma...

Ataccama is a master and reference data management provider based in Toronto, Canada. The company’s flagship product is Ataccama ONE, a tool that features data profiling and cataloging, data quality and governance, and master data management capabilities. 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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Ataccama ONE is a comprehensive master data management product that offers an intriguing list of capabilities for many use cases. The product can be deployed on-prem (traditional environments, Hadoop, Spark), in the cloud (cloud-based Spark, Amazon and Azure, multi-tenant SaaS), and via a hybrid model. Ataccama recently dropped the second generation of its ONE platform, helping to consolidate the vendor’s data quality, master data management, data catalog, data governance, and data integration features into a single offering.

Solutions Overview

Cloudera is an American software company headquartered in Palo Alto California. Cloudera’s open-source Apache Hadoop distribution, CDH (Cloudera Distribution Including Apache Hadoop), targets enterprise-class deployments ...

Cloudera is an American software company headquartered in Palo Alto California. Cloudera’s open-source Apache Hadoop distribution, CDH (Cloudera Distribution Including Apache Hadoop), targets enterprise-class deployments of that technology. Cloudera differentiates itself from other Hadoop distribution vendors by continuing to invest in specific capabilities, such as further improvements to Cloudera Navigator (which provides metadata management, lineage and auditing), while at the same time keeping up with the Hadoop open-source project.

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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’s new services, which the company refers to as “analytic experiences” are designed for data specialists like data engineers, analysts, and scientists. Cloudera’s Data Cloud services include CDP Data Engineering, CDP Operational Database, and CDP Data Visualization.

Solutions Overview

Dremio offers a data lake engine that provides fast query speed and a self-service semantic layer that operates directly against data lake storage. The solution connects to S3, ADLS, Hadoop, or wherever enterprise data re...

Dremio offers a data lake engine that provides fast query speed and a self-service semantic layer that operates directly against data lake storage. The solution connects to S3, ADLS, Hadoop, or wherever enterprise data resides. Apache Arrow, Data Reflections, and other Dremio technologies work together to hasten query speeds, and the semantic layer enables IT to apply security and business meaning. Users do not have to send data to Dremio or have it stored in proprietary formats to access it.
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Dremio provides data consumers with fast access to fresh and complete data by defining a single, governed source of truth for business metrics that can be utilized by downstream applications. The solution automates data management and makes data workflows intuitive, similar to working with source code. Key products from Dremio include Sonar, an SQL engine for open data platforms, and Arctic, an intelligent metastore for Apache Iceberg.

Solutions Overview

Experian is a major player in the global information services space, and offers a “one-stop shop” for both business and consumer information. The vendor touts more than 25 years of experience in the field of data quality ...

Experian is a major player in the global information services space, and offers a “one-stop shop” for both business and consumer information. The vendor touts more than 25 years of experience in the field of data quality management, mainly through an innovative validation approach, data cleansing, data profiling, matching, and enrichment. This enables its customers to better mitigate risk when evaluating business decisions.

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Experian’s data tools are offered in flexible Software as a Service deployment models. Data validation integrations are pre-built for market-leading CRM, ERP, and E-Commerce applications. In addition, Experian is integrated with Salesforce and Microsoft Dynamics, which provide comprehensive capabilities to validate, standardize, and enrich addresses, email addresses, and phone numbers in real-time and at the point of capture. Solutions Review recently named Experian to its list of the Best Data Quality Tools and Software for 2022.

Solutions Overview

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, c...

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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Google is quietly amassing one of the better data management product portfolios in the marketplace. BigQuery’s serverless data warehouse provides organizations with data via real-time streaming for real-time analytics. The solution also offers expansive data encryption, security, and replication capabilities for automatic backup and recovery. Google has broad recognition in the overarching technology space, making the platform an easy selection for many organizations.

Solutions Overview

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 individual...

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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HPE designs IT architectures that can handle volume, operate quickly, and process data from virtually any source. Vertica is the most flexible platform of any in this buyer’s guide, and the solution’s open infrastructure, technology, and deployment options enable it to process big data effectively. According to analyst house Gartner, Inc., more than a third of HPE’s reference customer base use Vertica in implementation sizes north of 100TB, which speaks to the product’s ability to handle large data volumes.

Solutions Overview

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 f...

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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Hitachi Data Instance Director is expanding the data protection conversation to encompass enterprise-scale copy data management. The company’s backup and recovery capabilities feature an In-System Replication Bundle with volume-cloning and space-efficient snapshots. Hitachi provides AI-driven data center management as well and offers machine learning and advanced analytics to optimize your data center.

Solutions Overview

IBM offers several different data management products depending on need. Its Db2 hybrid data management solution allows organizations to select any type of database or data warehouse, best-of-breed and open-source softwar...

IBM offers several different data management products depending on need. Its Db2 hybrid data management solution allows organizations to select any type of database or data warehouse, best-of-breed and open-source software. It collects, manages and provides feedback to data on-prem, in the private or public cloud or integrated across structured and unstructured data types. IBM also has a cloud-ready integrated analytics system and an enterprise database optimized for OLTP and IoT.

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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.

Solutions Overview

Immuta’s automated data governance platform lets users discover and access data through a dedicated data catalog. The product features an intuitive policy builder that provides author policies in plain English, without co...

Immuta’s automated data governance platform lets users discover and access data through a dedicated data catalog. The product features an intuitive policy builder that provides author policies in plain English, without code so security leaders can write policies across any data. Immuta also enables compliant collaboration via projects, controlled workspaces where users can share data. When users switch projects, they assume the right permissions and controls.

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Immuta runs as a containerized solution on-prem, in the cloud or via a hybrid model. The product offers integrations with leading data platforms like Databricks, Snowflake, Starburst, Azure Synapse, Google BigQuery, Amazon Redshift, and more. Immuta solves for a variety of use cases such as cloud data access control, cloud migration, and regulatory compliance. The company raised $90 million in Series D funding for a global expansion in May 2021.

Solutions Overview

Informatica is recognized as a prominent vendor in the data management software market. The Redwood City-based solution provider’s big data management platform allows organizations to access, integrate, clean, master, gov...

Informatica is recognized as a prominent vendor in the data management software market. The Redwood City-based solution provider’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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Informatica offers an expansive portfolio of data management tools in various deployments. The vendor’s customer base is more than 7,000 organizations. Informatica touts strong interoperability between its growing list of software solutions, and the Big Data Management product features a Big Data Parser, Relate 360, Intelligent Data Lake, Enterprise Information Catalog, and Intelligent Streaming.

MarkLogic
Solutions Overview

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...

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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MarkLogic has made a name for itself as a result of its strong focus on unifying silos of data. It is best suited for applications that involve heterogeneous large-scale data integration or content delivery. MarkLogic 10 saw the company add embedded machine learning capabilities to its popular Data Hub tool. The new Data Hub Central add-on provides a self-service interface for integrating data into the MarkLogic cloud service. This functionality creates a “shop” for the exact data sets needed, which can then be saved, shared, and re-used in popular BI tools.

Solutions Overview

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...

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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Microsoft database management solutions provide easy installation, configuration, integration, and deployment. Microsoft helps by installing and configuring the APS appliance, offering users an ecosystem of partners, including Mariner, who helps with planning, deployment and support. Using PolyBase, it now supports the ability to query data using SQL across the traditional data warehouse, plus data stored in the Hadoop region, whether in the appliance or a separate Hadoop Cluster.

Solutions Overview

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 applicat...

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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Oracle offers a complete data platform for data integration, management, and analytics. The product allows users to work with a wide variety of data types and technologies, and organizations can choose to deploy managed and automated services in Oracle data centers or their own. Oracle has its own cloud platform that keeps its technology portfolio close to home, and there’s even the ability to do data science and R advanced analytics for Hadoop.

Precisely
Solutions Overview

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 da...

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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Through various mergers and acquisitions, Precisely touts an impressive (and growing) suite of data management, integration and analytics offerings for a variety of use cases. Precisely is available in SaaS form for a number of clouds, and can connect to leading data platforms as well. Most of its customers come from the financial services, insurance, public sector, retail, and telecommunications. The company also offers some of the best professional services of any vendor included in this resource.

Solutions Overview

Riversand is a Houston-based 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 dat...

Riversand is a Houston-based 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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Riversand’s strong point is integration. All of its modules have been developed using the same interface, data model, and application framework. This offers organizations a level of cohesion as they implement flexible business processes within the solution suite. For instance, RiverSand’s data quality, digital asset management, and dynamic publishing are all integrated with its MDM solution to increase productivity throughout a retailer’s catalog production process.

SAP
Solutions Overview

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 a...

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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SAP HANA Data Management Suite is a solution for all data management, orchestration and governance from data marts to data lakes. It provides the capabilities for acquiring, processing, and analyzing data and making that data available anywhere. It does this by delivering real-time analysis on data sets without mass data duplication. SAP HANA Data Management Suite provides the basis for Internet of Things and machine learning solutions, such as SAP Leonardo and SAP S/4HANA. SAP HANA can also be deployed in any environment.

Solutions Overview

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 Mana...

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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SAS Data Management is especially useful when analyzing large and complex data volumes. However, the solution has a bit of a learning curve and is best saved for users with SAS software and language experience. SAS is built atop a data quality framework, and the built-in business glossary as well as SAS and third-party metadata management and lineage visualization capabilities keep all users in sync. The company was founded in 1976 and is based in Cary, North Carolina.

Solutions Overview

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 ...

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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SingleStore is an excellent database consideration for operational analytics and AI or machine learning-powered applications that require fast data ingest and high-performance querying. The offering can be deployed as a managed service or standalone solution. SingleStore touts industry-focused add-ons for the financial services, media communications, energy and utilities, high tech, government and public sector, and retail and eCommerce as well. The company raised its second $80 million-dollar funding round in a calendar year in September 2021.

Snowflake
Solutions Overview

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 ...

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. Snowflake is based in San Mateo, California.

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Snowflake has a unique data warehouse as a service offering, and its own SQL data architecture that claims to do more than the alternative. Late-2020 updates to Snowflake Data Cloud brought an expanded Data Marketplace, Snowpak developer experience, support for unstructured data, and “cutting-edge” data governance via row access policies. Snowpak is a new developer experience that enables data workers and developers to write code in their languages of choice an then execute workloads like ETL/ELT, data preparation, and feature engineering on Snowflake.

Solutions Overview

Stibo Systems began as a printing business in 1976, but now provides master data management software. The Stibo Trailblazer Enterprise Platform (STEP) features data quality capabilities designed to handle data profiling, ...

Stibo Systems began as a printing business in 1976, but now provides master data management software. 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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Stibo Systems offers the most comprehensive list of data manipulation capabilities of any solution provider in this buyer’s guide. The company also touts advanced features like role-based security, single sign-on, and audit trailing. Stibo recently partnered with Dun & Bradstreet, bringing the company’s entire commercial database into the STEP product. Solutions Review has named Stibo Systems one of the 28 Best Data Management Platforms for 2022 to consider.

Solutions Overview

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 ...

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. Talend is based in Redwood City, California.

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Talend has beefed up its data management capabilities in recent months, and recently announced the launch of a new metadata management solution that provides organizations easier accessibility to data lakes and other big data projects. Talend Metadata Manager offers a governance framework for creating, controlling, attributing, defining, and managing enterprise data so users can extract and propagate additional value. The company’s data preparation functionality and support for multi-cloud environments are also welcomed additions.

Solutions Overview

Tamr offers a machine learning-based data integration product called Unify. The solution allows organizations to connect to any tabular data and publish it anywhere. Users can map schemas with machine learning suggestions...

Tamr offers a machine learning-based data integration product called Unify. The solution allows organizations to connect to any tabular data and publish it anywhere. Users can map schemas with machine learning suggestions and normalize data formats using Spark and SQL. Tamr’s Master Records feature provides a complete view of all entities via simple yes and no questions as well. The company was originally invented by Dr. Michael Stonebraker and his colleagues who published their research about the Data Tamer System for handling large-scale data curation in 2013.

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Tamr allows its customers to connect to any tabular data and publish anywhere. Included machine learning suggestions speed up the alignment of data sources so users can normalize data formats using Spark and SQL. Tamr is unique because of its patented machine learning capabilities, as well as data mastering that provides a unified view of customers. Tamr has also begun offering an issue tracker specifically designed for data called Steward. The company recently unveiled a new set of data mastering workflow capabilities, as well as cloud support and geospatial mapping shortly after.

Teradata
Solutions Overview

Founded in 1979, 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 o...

Founded in 1979, 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. Teradata is publicly traded and headquartered in Miamisburg, Ohio.

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Teradata’s data management portfolio includes products and services in data warehousing, big data analytics, and marketing. The company offers what we consider to be the purest database and data warehousing capabilities of any provider in this buyer’s guide. Teradata covers nearly every enterprise use case, and its ability to integrate with Hadoop and other data sources make it increasingly flexible. Teradata unveiled its new Vantage analytics platform in October 2018, providing access to predictive and prescriptive analytics, automated decision-making, machine learning, and data visualizations.

Solutions Overview

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 ...

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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TIBCO’s data management tools can solve for a wide array of use cases, such as multidomain MDM, reference data management, anything 360, virtual data layer, logical data warehouse, and Data as a Service. Additionally, TIBCO Cloud Metadata offers metadata management, a data catalog, and data governance, delivered as a service. The company recently delivered a major update to its line of data products at its annual user conference in October 2021.

Solutions Overview

Zaloni helps users secure the unrealized power of data. The vendor’s DataOps software, called Zaloni Arena, streamlines data pipelines through an augmented catalog, automated governance, and self-service consumption. Thes...

Zaloni helps users secure the unrealized power of data. The vendor’s DataOps software, called Zaloni Arena, streamlines data pipelines through an augmented catalog, automated governance, and self-service consumption. These factors help organizations reduce IT costs, hasten the analytic process, and standardize security. Zaloni works with large enterprise companies to deliver trusted data through a unified DataOps platform that both improves and safeguards data.

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For data-driven organizations that need to deliver timely, trusted data to support AI/ML initiatives, business intelligence and analytics, the Zaloni Arena DataOps platform is a governed DataOps software platform that provides end-to-end data supply chain management, unified data governance and self-service data consumption. Unlike other data catalog and governance solutions, Zaloni Arena provides an intelligent data and digital asset catalog, ML-powered data mastering for customer 360 and a self-service data marketplace experience purpose-built for today’s complex, multi-cloud and hybrid data environments.