Azure Data Catalog vs. Stemma.ai

Azure Data Catalog helps us solve data discovery problems
brilliantly. Our organization created a single source of truth for our data,
which allowed us to develop BI and data science solutions. We can drag tables
or data sources to manage workflow. Some of the more complicated data normalization
or standardization issues need to be simplified, and I'd like to see that
happen.

Incentivized

• It's easy to use and implement.
• Ownership of the data.
• It's helpful for all businesses.
• Policy on data preservation.
• It can utilize various data sources.
• Data management is secure and simple.

Incentivized

• Maintenance and creation of documentation for data sources takes a lot of time
• One cannot connect to data using a client's app unless they know the locus of the data source.

Incentivized

Azure Data Catalogue was chosen for

• Microsoft's customer service and expertise
• Experience with Azure Cloud Solutions
• Reviews from peers on functionality and performance
• Product roadmap
• Overall costs

Incentivized

• Azure platform makes it easier for us to register & catalogue all available information easily. This way when the customer actually made a sudden request or they want to access sensitive information on their own, the data is readily presented to them. Needless to say we use this mined and catalogue data for a variety of inhouse training and other improvement initiatives.

Incentivized