Atlan vs. MLReef

Well suited if you're using a lot of tools that work in tandem with this such as Snowflake, Amazon, S3, Tableau, Power, BI, Redshift, and others. It also has robust functionality for the quality management of metadata sets. The most helpful thing here is all the dashboards that provide visibility in one place. In my experience, less suited for collaboration across teams. Not a ton of ways to do things in real-time together.

Incentivized

Works well if you have to involve different roles in different organizations in a project. Less suited when you have a complex system of custom developed tools

• Here, it is very easy to extract and modify the data.
• We can do very quick and smooth integration over here.
• It's OpenSource framework provides extension capabilities to the API it uses

Incentivized

• Helps us to take on more client projects
• Can be used by data analysts as well as casual users

• API documentation could be improved
• Support team could be quicker in their response
• Not a lot of "help" type information users can self-access

Incentivized

• Out of the box support for major cloud vendors

Incentivized

• Atlan has certainly saved time and money by consolidating our metadata sets
• Integrations with Amazon and Tableau have definetely sped up our time to value

Incentivized

• We can handle 4 to 6 times more projects at the same time with our team
• We stay engaged with our customers well beyond the project duration