Data management software is a collection of tools and solutions designed to assist businesses in managing and keep their data. These tools can be utilized for archival purposes backup, storage and data migration, analytics and various other tasks. They also enable companies to manage information and meet regulatory compliance demands.

Some of the most popular examples of software for managing data include master data management (MDM) solutions which work to consolidate disparate information sources into one source; databases managers like Microsoft SQL Server and Oracle which support both structured and unstructured data metadata repositories, which provide details on how databases were created; cloud storage services like Amazon S3 bucket or Azure Blob Storage; streaming analytics programs such as Apache Kafka computational grids such as Apache Mesos and OpenStack Hazelnut; and big data analytics platforms like Google Cloud Dataprep.

Some of the most notable providers of data management software include 1010data, which provides integrated capabilities for database management and data analytics. The 1010edge flagship product brings diverse data together to provide a clear overview and scales to meet enterprise needs. It also supports data modeling, visualization, reporting, and development of applications.

Another illustration is Riversand which is a supplier of master data management (MDM) and product information management (PIM) solutions. The multidomain core of the company provides a complete view of enterprise data, as well SecureDocs as high-performance computing as well as a suite of streamlined collaboration tools.

Immuta is a different alternative. It’s an extremely automated platform backed by AI that allows you to manage and govern data. Its unifying design facilitates discovery through a separate data catalog, as well as compliant collaboration across projects in controlled workspaces. It also lets you create policy in plain English without the need for code, and allows users to apply their policies automatically across all their data.