Review Summary
Users like Databricks Data Intelligence Platform for its user-friendly interface, efficient data processing capabili ...
Users like Databricks Data Intelligence Platform for its user-friendly interface, efficient data processing capabili ...
Databricks is a global company focusing on data and AI. At the core of Databricks is the Databricks Data Intelligence Platform which allows entire organizations to use data and AI to power a wide range of business use cases. It's built on a lakehouse to provide an open, unified foundation for all data and governance and is powered by a Data Intelligence Engine that understands the uniqueness of the organizations’ data. Databricks simplifies and accelerates enterprises' data and AI goals by unifying data, analytics and AI on one platform. Its key mission is to assist data teams in addressing some of the world's most challenging problems.
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The platform feels very well thought through. Even though Databricks is newer than some of the more traditional data and BI vendors, it doesn't feel immature. The developer experience across different languages is excellent, and features like Unity Catalog have made governance and access much clearer as we've scaled. It's obvious the product is moving forward quickly and in the right direction.
Speed and performance, it is quick to query and start up a warehouse. The Unity catalog makes it easy to see what kind of data is available across the enterprise.
As a martech professional, what I like most is the ability to unify data from multiple sources in one place and work with it at scale. This is very useful because it allows us to create more advanced segments. I also appreciate the different programming languages I can use on the laptops, as well as the collaboration I can have with my team.
There are still a few areas where the out-of-the-box integrations aren't as broad as some long-established platforms, particularly for certain data sources. That said, this hasn't been a blocker for us, and Databricks has been steadily improving in this area, with clear signals about what's coming next.
It was hard to get started with it, training for non-technical and business users was scattered and there are still features being built (like Lakeflow Designer) for us.
As I mentioned earlier, the initial learning curve for a non-technical profile is very steep, which creates a dependence on requesting help from the technical or data team at times, and to that we must add the interface which is sometimes not very intuitive.