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Simultaneous data flow management.

  • By Andrea M.
  • on 01/31/2025

What do you like best about the product?
- It has an excellent connection with the MLFlow system which guarantees that our clients have access to creation, management, monitoring and progress in Machine Learning.
- It offers professional processes to manage the clients infrastructure and manage all the clusters, all this can be done from the cloud and saves time in collecting data from the clusters.
- We can link several data sources perfectly and simultaneously, this helps collect all the data of our clients in a safe and automated manner, without going through complex data registration process, we can collect a large volume of data easily.
What do you dislike about the product?
Databricks never gave us any type of negative experience, at all times it was able to offer management, data storage and collection of large volumes of data. With Databricks, our MSP-type functions have improved and have never had any failures collecting all the data of our clients who access IT services.
What problems is the product solving and how is that benefiting you?
Databricks has allowed the data management of our entire company to be much more proportional, allowing us to work together and integrate this platform with various Apache and ML services. This platform has benefited me a lot, because it has allowed us to completely analyze the data and collecting a large volume of data and storing it in the cloud, collecting data from our clients and managing this data together and working together, has never been easier until it came to this platform. I'm satisfied with the results, since it has benefited data management in our MSP company.


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