Examples of Data Management Software

December 9, 20240

Data management software is a collection of solutions and tools designed to assist businesses manage and keep their data. These tools can be used for tasks such as archival backup, storage data migration, analytics and many other tasks. These tools allow businesses to manage their information and comply with regulatory requirements.

Some of the more popular examples of data management software include master data management (MDM) solutions which help to combine disparate data sources into one source; databases management software, like Microsoft SQL Server and Oracle that can handle both unstructured and structured data metadata repositories which provide details on how datasets were created and cloud storage solutions such as Amazon S3 bucket or Azure Blob Storage; streaming analytics applications like Apache Kafka; computational grids such as Apache Mesos SecureDocs and OpenStack Hazelnut; and big data analytics platforms such as Google Cloud Dataprep.

Some of the most notable providers of data-management software include 1010data. The software has integrated capabilities for database analytics and management. The 1010edge flagship product brings disparate data together to provide a comprehensive overview and also scales up to meet enterprise needs. It also supports data modeling and visualization, reporting, and application development.

Another instance is Riversand is a provider of master data management (MDM) and product information management (PIM) solutions. Its multidomain core gives an entire view of enterprise data, and also includes high-scale computing and a collection of collaborative tools that are easy to use.

Immuta is a different option. It’s an automated platform powered by AI that lets you manage and govern data. Its unified interface enables discovery through a specific database of data, as well as compliant collaboration between projects in controlled workspaces. It allows the creation of policies in plain English without the need for coding. Users can also apply policies automatically across all data.