10+ Best Top Data Management Software for Windows, Mac, Android 2022

Every day, thousands of millions of new pieces of data are produced, processed, and handled. Data are made up of information, knowledge, facts, and statistics that may be used in a variety of contexts; nevertheless, despite this, managing them is a very difficult task. The use of data management software is quite helpful in situations like this.

10+ Best Top Data Management Software

1. Informatica MDM

2. Pimcore

3. IBM Infosphere Master Data Management

4. Dell Boomi

5. Profisee

6. SAS/ACCESS

7. TIBCO Data Virtualization

8. Microsoft SQL Server

9. Adobe Audience Manager

10. Ataccama

11. 1010Data

What Is Data Management Software?

Data management software organizes, maintains, and processes data. Different forms of data, particularly big data sets, can be handled using this program. By using this program, data professionals can shorten the time spent handling this crucial information. Data management software organizes and categorizes data based on usage.

Benefits

Data management software offers a lot of advantages. This program reduces human error, enhances the selection and use of data, organizes data sets to prevent possible issues, safeguards data from threats and hazards, makes data translation and processing simple, and gives users a productive experience.

Features

The data management software comes with a variety of tools, functions, and features, all of which are designed to improve its overall performance. Some of the numerous examples include:

• Cyber and data security
• Linking
• Data integration
• Data storage and organization
• Data governance

Top 10 Data Management Software

1. 1010data

Database administration and data analytics are both integrated by 1010data. 1010 provides a granular perspective by combining diverse data sources, and the solution is scalable to any size.

2. Amazon Web Services

An organization’s current analytic tools may be used to analyze data using Amazon Redshift, a fully managed, petabyte-scale data warehouse provided by Amazon Web Services (AWS). Users may automate routine administrative operations related to setting up, configuring, and maintaining cloud data warehousing using Redshift’s data warehouse architecture.

3. Ataccama

Ataccama ONE is an all-encompassing master data management system that provides an exciting range of features for a wide variety of application scenarios.

4. Cloudera

In addition to a proprietary system and data management tools for design, implementation, operations, and production management, Cloudera offers an Apache Hadoop-based data storage and processing platform.

5. Collibra

The technical metadata utilized by an organization is documented in Collibra’s Data Dictionary. Additionally, users may set roles and responsibilities and use workflow automation to information to resolve and map data.

6. Commvault

One of the leading solution providers, Commvault is well-known in the backup and disaster recovery industry. The product also comes with Commvault’s well-known backup, disaster recovery, and e-discovery features.

7. Druva

Both physical and virtual servers may make use of the data availability and governance features provided by Druva Phoenix. Its backup, disaster recovery, archiving, and analytics features are all cloud-based and very efficient.

8. Google

With its BigQuery solution, Google provides a fully managed business data warehouse for analytics. Users of the software may also distribute insights in the form of datasets, queries, spreadsheets, and reports.

9. Hewlett Packard Enterprise (HPE)

The business software division of HP, a leading manufacturer of computer hardware, is known as HPE. The provider provides a cloud-based database management solution through an individually licensed model, Microsoft Azure, or Amazon Web Services.

10. Hitachi Vantara

Business continuity, backup windows, operational recovery, and catastrophe recovery are just a few of the important performance criteria that Hitachi’s range of data management solutions can help enterprises swiftly improve.

FAQs

The term “data” refers to the collection of various pieces of information and fact. As a result, it is essential to manage them well, but the administration of data does not always need to be difficult.