Top Data Management tools in 2024

Data management refers to the practice of collecting, storing, and organizing the data of an organization so that in the future it can be analyzed for business decisions. Data management plays a crucial role in Information technology as it helps the software developers to easily manage and handle the large data of the organizations.

There are multiple Data management tools available in the market that are particularly used by developers for effective data management. Therefore, in this article, detailed knowledge has been provided about the best Data management tools that will be used in 2024.

What is Data Management?

Data management is defined as the practice of collecting, keeping, and using the data in a secure way. The main purpose of data management is to help the organizations, and individuals to optimize the use of data in an effective manner. Data management helps increase the visibility of the organization’s data assets by making it easier for people to easily and quickly find the right data for analysis purposes. Data management is also used to protect the organization and its employees from the losses of data, breaches, and theft.

Top Data Management Tools in 2024

There are various types of Data management tools that are used in IT industries by software developers to manage data management efficiently. Some of the top Data management tools in 2024 are mentioned below:

1. Stitch

Stitch is one of the most popular data management tools which mainly provides ETL data pipeline services. This tool helps the developers in extracting the data on a schedule by using the Siner-based engine which saves it into an internal data pipeline such as Import API. Stitch also transforms Import API to be compatible.

Key Features

• Stitch is a simple and easy-to-use tool, even nontechnical individuals can use this tool.
• This tool has the ability to transform the data.
• Some of its features are- Monitoring and Alerting which shows the current status of the data pipelines.

2. Talend

Talend is another famous cloud-based data management tool which mainly supports both cloud-based and on premise integration. This platform mainly consist of two tools: Talend data fabric and the open source Talend open studio. Talend supports total 1000 components and connectors and provides users with pre-built integration templates.

Key Features

• Talend can integrate with popular cloud applications like Azure, Google cloud and AWS.
• This tool consist of multiple pre-built templates.
• By using standard connectors this tool can work with large number of source systems.

3. Informatica

Informatica is one of the data management tools which is used in a wide range by developers. The main use of this tool are ETL and data ingestion. It is one of the easy to use tool and non-coders with no coding background people can also use this tool.

Key Features

• Informatica consist of data transformation capabilities.
• Data quality and this tool consist of Real-time data integration capabilities.
• Informatica consist of detailed data integration tools such as Cloud data integration and Power center.

4. Fivetran

Fivetran is another popular data management tool which particularly supports data ingestion and ETL. This tool load the data from sources to the destination which the users need. For the data transformations users can use pre built and QuickStart data models.

Key Features

• It consist of a rapid data integration setup
• Fivetran consist of a wide range of source and destination integration.
• This tool has the ability to accommodate large data volumes.

5. Snowflake

Snow Flake is a cloud-based data analytics and service providers which helps the customers to migrate to a cloud-based solution quickly. This tool designed with a patented new architecture to handle all data and analytics. This data management tool is also used for data engineering and data science.

Key Features

• Snow Flake is a scalable tool.
• Snow flake offers data security features such as block lists and IP.
• Built-in automated query optimization by using a query optimization system is this tool another feature.

6. Microsoft Azure

Microsoft Azure is another famous data management tool which allows setting up a cloud based data management systems with different options, data warehouse or multiple data bases. This tools is a type of cloud based tool which can easily integrate with Panoply for ETL/ELT services.

Key Features

• Microsoft Azure is highly scalable tool.
• It consists of hybrid cloud capabilities.
• Microsoft Azure consist of diverse services such as computing, analytics, databases and so on.

7. Tableau

Tableau is data engineering tool which focuses on the usability and for the non-technical users. Tableau can integrate with different applications by using the pre-built data connectors, visualization and data discovery capabilities. Tableau allows the users to answer pressing questions within seconds.

Key Features

• Tableau consist of data connectors for data source.
• Tableau consist of Real time data analysis feature.
• It also consist of drag-and-drop feature.

8. Google Cloud Platform

Google Cloud Platform is one of the popular Data management tool which works similar to AWS and Azure. It has a vast range of cloud based data management tools. Google cloud platform consist of a valuable workflow manager which is further used for collecting the zoo’ in one system.

Key Features

• Google Cloud Platfrom is highly scalable and consist of global network.
• It has a severless computing options like Cloud Run and Google Cloud Functions.
• Google cloud platform fits companies processing large data volumes.

9. Looker

Looker is a cloud based visualization and analytics system which is designed for developing customized, interactive report and dashboard which can integrate with the multiple data sources. It is one of the most trending tools among the businesses which values self service analytics and the ability to customize data experiences.

Key Features

• Looker mainly allows defining metrics with the LookML data modeling language which creates SQL queries to answer any questions.
• It consist of an easy to understand dashboard with the ability to drill in and explore.
• This tool also helps to connect directly to the databases without any other software downloads.

10. Microsoft Power BI

Microsoft Power BI is one of the popular data management tool which was developed by Microsoft and it provides both cloud based and desktop applications for sharing reports and dashboards. It has the ability to transform and visualize the data. It can seamlessly integrate with other data sources.

Key Features

• Microsoft Power BI consists of a Real-time data refresh feature.
• With the help of Microsoft Power BI, individuals can share the reports and dashboards with the other team members.
• Drag and drop report builder feature is also available in Microsoft Power BI.

Conclusion

Data management plays a major role in the digital economy, it is important that the systems should continue to evolve to meet the needs of the organizations. The organizations use various Data management tools to minimize the potential errors. Therefore in this article a detailed knowledge has been provided about the Data management and the top 10 Data management tools which the software developers use.

FAQs

What do you mean by Data management?

Data management mainly refers to the process of ingesting, organizing, storing and maintaining the data which is being created and collected by an organization. Organizations use several data management tools for analyzing the data and make the use that data for future reference.

What is an objective of Data management tools.

Data management tools are the tools which are used by multiple organizations or businesses for an efficient data management. These data management tools consist of several features which are used helps the data management easy and cost effective.

What is the use of data management tools in organizations?

Data management tools are used by the software developers to ensure the data privacy and security, analyze the data, enhance collaboration. The data management tools are also highly scalable, has greater reliability and they are cost-effective.

Name the best data management tools which are used in 2024.

Some of the best management tools which are used by the software developers are- Stitch, Talend, Informatica, Fivetran, Snowflake, Microsoft Azure, Tableau, Google Cloud Platform, Looker and Microsoft Power BI.