Data management software moves, manages, and provides access to data across diverse public clouds and on-premises and hybrid environments. Data management as a practice involves using multiple data tools that provide an efficient way to manage an organization’s data.
Typically, companies use this software to connect, access, and transform data and applications across various sources within an organization while maintaining the quality and security of the data. Businesses also leverage additional tools like data cataloging and master data management (MDM), enabling them to categorize, classify, and centralize their master data.
IT administrators, development, and data teams mainly use data management software. Organizations typically use this software to integrate, access, and modify data and applications from a range of internal sources, while ensuring data quality and security. Companies may also employ supplementary tools such as data cataloging and master data management (MDM) to categorize, classify, and consolidate their master data.
To qualify for inclusion in the Data Management category, a product must:
- Provide a 360° view of data about key business entities, like customer, supplier, partner, etc., from multiple internal and external data source systems
- Support cloud API and application integration
- Provide pre-built connectors supporting any data type or pattern
- Allow users to streamline, govern, and manage integrations through a dashboard
- Provide wizards for data replication and data synchronization
- Discover data quality issues and ensure quality and governance by profiling, cleansing, and monitoring the datasets
- Support de-duplication using rules to eliminate incorrect data from entering the system
- Automate and accelerate integration and data management with artificial intelligence (AI) and machine learning (ML) recommendations
- Identify sensitive data quickly and protect it to comply with regulations and data security policies
- Offer collaboration features around data sets, including categorizing, commenting, and sharing
- Give intelligent recommendations based on ML for quicker access to relevant data
