Atlan vs. Secuvy AI

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

Great tool for data support and with the governance of personal data as it facilitates the discovery of personal data and its classification and mainly and the use of multiple databases by your AI to create a connection between the process of trading information with many ease and quality assurance of these data.

Incentivized

• 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

• Connect the user to various data sources such as cloud services.
• A data tool must use geolocation capabilities to facilitate location-based analysis.
• Collaboration present in data discovery tools.

Incentivized

• 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

• AI needs to be improved to avoid manual reclassification.
• Non-intuitive interface.
• Lots of security details that make connecting to a more complex data source.

Incentivized

Incentivized

The fact of artificial intelligence was preponderant for the choice because we need to analyze the question of quality quickly and objectively.

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

• Fast compliance.
• Power data discovery.
• Collaboration team.

Incentivized