Data management software refers to a variety of tools and solutions designed to help businesses to manage and protect their data. These tools can be used for functions like archival storage, backup and data migration, analytics and many other tasks. These tools also permit companies to manage their information and satisfy regulatory requirements.
Some of the most popular examples of software for managing data include master data management (MDM) solutions that can consolidate different information sources into a single source databases managers, such as Microsoft SQL Server and Oracle that can handle both structured and unstructured data metadata repositories which provide details on how databases were developed; cloud storage services like Amazon S3 bucket or Azure Blob Storage; streaming analytics software such as Apache Kafka computational grids, such as Apache Mesos 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. This software offers integrated capabilities for database analytics and management. Its flagship product, 1010edge integrates disparate data to deliver a granular view and scales to meet enterprise requirements. It also supports data visualization, reports, and application development.
Riversand is another company that offers master data management as well as product information management solutions. Its multidomain core gives a complete insight into the enterprise data, and also includes high-performance computing as well as the tools for collaboration that are designed to be efficient.
Immuta is a different option. It’s an extremely automated platform powered by AI that lets you manage and regulate data. Its unified interface allows for discovery via a dedicated database of SecureDocs data, as well an efficient collaboration between projects in controlled workspaces. It also allows policy creation in plain English without the need for code and lets users automatically apply policies across all their data.
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