DataHub is simple to use and helps keep my data organized. It’s great for sharing and managing datasets, and the version control is a big plus. I’d definitely recommend it! Review collected by and hosted on G2.com.

Performance with Large Datasets:

Sometimes, handling really large datasets can slow things down or be more cumbersome than expected. Review collected by and hosted on G2.com.

It's an easy to use open source data catalog tool which helps solves the complex data lineage. Review collected by and hosted on G2.com.

Lacks support for DBT and test integrations Review collected by and hosted on G2.com.

Ease of use and Connectivity with 3rd Party Tools Review collected by and hosted on G2.com.

Nothing as Serious, but integration with more analytics tools will be added advantage Review collected by and hosted on G2.com.

Easy to setup

Connected to wide number of tools

Free to use - Open source Review collected by and hosted on G2.com.

- Cannot integrate data quality tests

- Support for dbt Review collected by and hosted on G2.com.

I think the UI is making total sense. Almost every dataset from any platform we have looks the same on the UI, which is helping a lot with the adoption of this product. I think that the ability to map every data source and their lineage is extremely important for big organizations and can save lots of time for our employees. Review collected by and hosted on G2.com.

The thing with Datahub is that you have to put in some amount of time just to see if it can give your users value. and sometimes the work must come from the owners of the data(and not the Datahub owners) who don't necessarily have a clear interest in that work. Review collected by and hosted on G2.com.

When we were tasked with choosing a data cataloging solution, we compared several different companies, and no competitor came close to Acryl. Other solutions had slightly more features but came with a significantly higher cost and weren't open-source. Review collected by and hosted on G2.com.

The UI can feel clunky sometimes, but I appreciate how difficult it is to build a general-purpose UI to display datasets from so many different possible sources. Review collected by and hosted on G2.com.

Datahub is opensource so you do not have pay for any licence. Datahub is by far the best for metadata analysis and lineage because it supports applications from different stack (both opensource and paid) and you can capture and analyse metadata, create lineages under a single ui. The ones that we have integrated with Datahub is spark, kafka , mongoDB, psql, elasticsearch,hive, big query and oracle Review collected by and hosted on G2.com.

So far, i have not found anything to dislike as this solution basically overcomes the limitations of other data governance services like Atlas, Cloudera Navigator etc. Review collected by and hosted on G2.com.

Datahub provides best service to integrate with all your systems and web applications. It's provides ability to make an easy system without any complexity which helps our users to do their day to day activities Review collected by and hosted on G2.com.

It's hard to find supportive documents and help from the website and sometimes support is not provided within the stipulated SLA which impacts production and ability to deliver Review collected by and hosted on G2.com.