Data Catalog: A Comparison of Datahub and Amundsen in 2025

Data management is one of the biggest challenges of our time. Therefore, selecting the right tools is critically important.

As we enter 2025, numerous innovations are emerging in the field of data management and analytics. Companies are seeking new ways to effectively manage big data. In this context, Data Catalog tools, or data catalogs, have begun to play a significant role in business. Particularly popular platforms like Datahub and Amundsen are transforming how users access and manage their data. So, which of these two tools is more suitable for you? Let’s take a closer look.

Datahub: An Overview

Datahub is an open-source data catalog developed by LinkedIn. It is designed to help users easily find, understand, and share their data. Its primary goal is to make data more accessible. The user interface is highly user-friendly and interactive. From my experience, if you want to spend less time managing your data, Datahub could be the right choice.

Another factor behind Datahub's popularity is its extensive ecosystem. Thanks to its APIs, it can connect with various data sources and facilitate data integration. For instance, when I used Datahub to consolidate several data sources for a project, the process became much smoother.

Technical Details of Datahub

• API Support: Datahub allows you to integrate data sources via RESTful APIs, making it easy for users to quickly add new data.
• Customizable Interface: Datahub enables users to customize the interface according to their needs, allowing each team to achieve a layout that suits their workflow.
• Advanced Search Features: With a user-friendly search engine, you can easily access data sets. Quickly finding your data with keywords saves you time.

Amundsen: An Overview

Amundsen is another popular data catalog developed by Uber. Its purpose is to simplify data discovery and reflection processes. Amundsen has strong community support and is continuously updated. It excels particularly in data discovery and providing data context. When I tested Amundsen in a project, understanding the context of the data became much easier for me.

The management of data sources and metadata is one of Amundsen's strongest features. It ensures users are informed about the data while also providing suggestions on how that data should be used. It offers a truly functional structure.

Technical Details of Amundsen

• Data Discovery: Amundsen offers powerful tools for users to discover and understand data sets. You can quickly learn what data sets contain.
• Metadata Management: It allows users to obtain detailed information about data sets, making data management processes more effective.
• Advanced Analytics Features: Users can gain insights into how frequently data sets are used. This feature helps optimize your data strategies.

Datahub and Amundsen: Performance and Comparison

Both platforms have numerous features, but how do they compare in terms of performance? According to 2025 data, there are some distinct differences between Datahub and Amundsen. For example, Datahub offers faster data integration, while Amundsen stands out in data discovery. This could be a critical point in determining which tool is more suitable for you.

Recently, I examined how several companies utilize these two tools. A team using Datahub noted that they were able to complete their projects on time by quickly consolidating data sources. Another team using Amundsen expressed that they were able to make more informed decisions thanks to the data context provided. Ultimately, when making a choice, you should consider your team's needs.

Advantages of Datahub

• User-Friendly Interface: Datahub allows users to manage data quickly.
• Good Integration Features: It can integrate with different data sources through API support.

Advantages of Amundsen

• Strong Data Discovery: Amundsen helps users make more informed decisions by providing data context while exploring data sets.
• Advanced Metadata Management: It simplifies management processes by offering detailed information about data sets.

Disadvantages

• Datahub: Some users have noted limitations in customizing the interface offered by Datahub.
• Amundsen: The learning curve for Amundsen can be challenging for new users initially.

"The secret to success in data management is access to the right data and its context." - Data Management Expert

Practical Use and Recommendations

After testing both tools, I would like to offer some recommendations. If your goal is to accelerate data integration, Datahub might be an effective option. However, if you want to understand and explore the context of data sets, Amundsen could be a better choice. It's important to consider your team's needs when deciding which tools to use at your workplace.

Additionally, trying both tools for a certain period and selecting the one that best fits your needs could be a sound strategy. Remember, with the right tool and strategy, your data management processes can become much more efficient.

Conclusion

Datahub and Amundsen are two powerful tools standing out in the field of data management. Which tool you choose will depend on your specific needs. While Datahub offers faster integration and a user-friendly interface, Amundsen provides advantages in data discovery and context provision.

What do you think about this? Share your thoughts in the comments!