Data Catalog Comparison: Datahub vs Amundsen in 2025

Data management is one of the biggest challenges we face today. Therefore, selecting the right tools is crucial.

As we step into 2025, numerous innovations in the field of data management and analytics are emerging. Companies are on the lookout for new ways to manage big data effectively. In this context, data catalog tools—essentially data catalogs—have started 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 tools is the better fit for you? Let’s take a closer look.

Datahub: An Overview

Datahub is an open-source data catalog developed by LinkedIn, designed to help users easily find, understand, and share their data. Its primary goal is to make data more accessible. The user interface is quite 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. With its APIs, it connects seamlessly with various data sources, simplifying data integration. For instance, when I used Datahub to consolidate several data sources for a project, the process became significantly smoother.

Technical Details of Datahub

• API Support: Datahub allows you to integrate data sources via RESTful APIs, making it easy for users to add new data quickly.
• Customizable Interface: Users can tailor the interface to meet their needs, giving each team a view that suits their workflow.
• Advanced Search Features: Thanks to an intuitive search engine, you can easily access data sets. Quickly finding your data with keywords saves you valuable time.

Amundsen: An Overview

Amundsen, another popular data catalog developed by Uber, aims to simplify data discovery and data reflection processes. It boasts strong community support and is continuously updated. Particularly, it excels 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.

Managing data sources and metadata is one of Amundsen's strongest features. It ensures users are informed about their data while also offering suggestions on how to utilize it effectively. It provides a genuinely functional structure.

Technical Details of Amundsen

• Data Discovery: Amundsen provides powerful tools that allow users to explore and understand data sets quickly.
• Metadata Management: It gives users detailed insights about data sets, making data management processes more efficient.
• Advanced Analytics Features: Users can gain insights into how frequently data sets are utilized, which helps optimize your data strategies.

Datahub vs Amundsen: Performance and Comparison

Both platforms offer a range of features, but how do they stack up in terms of performance? According to 2025 data, there are some clear differences between Datahub and Amundsen. For example, Datahub provides faster data integration, whereas Amundsen shines in data discovery. This can be a critical point in determining which tool is more suitable for you.

Recently, I looked into how several companies are using these two tools. A team using Datahub reported they could quickly consolidate data sources and meet their project deadlines. In contrast, another team using Amundsen noted that the data context allowed them to make more informed decisions. Ultimately, when making a choice, you should consider your team's specific needs.

Advantages of Datahub

• User-Friendly Interface: Datahub enables users to manage data quickly and efficiently.
• Good Integration Features: It can integrate with various data sources via its API support.

Advantages of Amundsen

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

Drawbacks

• Datahub: Some users have mentioned limitations in customizing the interface offered by Datahub.
• Amundsen: The learning curve for Amundsen may be challenging for new users at first.

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

Practical Use and Recommendations

After testing both tools, I’d like to offer some recommendations. If your goal is to speed up data integration, Datahub could be an effective choice. However, if you want to understand and explore the context of data sets, Amundsen might be the better option. It's essential to consider your team's needs when determining which tools to use in your workplace.

Additionally, testing both tools for a specific period and selecting the one that best meets your requirements could be a sound strategy. Remember, with the right tools and strategies, your data management processes can become much more efficient.

Conclusion

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

What are your thoughts on this topic? Share in the comments!