The 28 Best Data Management Software and Top Tools for 2023
Solutions Review’s listing of the best data management software is an annual sneak peek of the solution providers included in our Data Management Buyer’s Guide and Solutions Directory. Information was gathered via online materials and reports, conversations with vendor representatives, and examinations of product demonstrations and free trials.
The editors at Solutions Review have developed this resource to assist buyers in search of the best data management software 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 data management 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 data management software is listed in alphabetical order.
The Best Data Management Software
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Description: 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Platform: Tamr Unify
Description: Tamr offers a popular data mastering platform that powers analytic insights, boosts operational efficiency. and enhances data operations. The vendor’s cloud-native solutions act as an effective alternative to traditional MDM tools through machine learning which consolidates, cleanses, and categorizes data. Tamr’s Master Records feature provides a complete view of all entities via simple yes and no questions. Tamr is the foundation for modern DataOps in various enterprise verticals and is backed by NEA and Google Ventures.
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.
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.
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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