Data management software refers to various tools and solutions designed to help businesses to manage and protect their data. These tools can be utilized for functions like archival storage, backup data migration, analytics and various other tasks. They also enable companies to manage data and meet regulatory compliance demands.
Some of the most well-known examples of software for managing data include master data management (MDM) solutions which work to consolidate disparate information sources into a single source databases management software, like Microsoft SQL Server and Oracle that can handle both structured and unstructured data metadata repositories, which provide details on how datasets were developed; 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.
A few notable vendors of data management software include 1010data. This software offers integrated capabilities for database management and data analytics. Its flagship product, 1010edge brings disparate data together to provide a detailed view and scales to meet requirements of the enterprise. It also allows data visualization, reporting, and application SecureDocs development.
Another illustration is Riversand, a vendor of master data management (MDM) and product information management (PIM) solutions. The multidomain core of the company provides an all-encompassing view of enterprise data, and also includes high-scale computing and a set of streamlined collaboration tools.
Immuta is another alternative. It's an extremely automated platform powered by AI that allows you to manage and control data. Its unified interface enables discovery through a specific catalog of data, as well as an efficient collaboration between projects in controlled workspaces. It allows policy creation in plain English without the need for coding. Users can also apply the policies automatically across all data.