Overview
Product Information on Databricks AI/BI
What is Databricks AI/BI?
Databricks AI/BI Pricing
Overall experience with Databricks AI/BI
“Strong Data Processing Capabilities Not Ideal for Low Consumption AI Use Cases”
Key Insights
A Snapshot of What Matters - Based on Validated User Reviews
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About Company
Company Description
Databricks is a data and AI company built on the open lakehouse architecture. The Databricks Data and AI Platform gives data engineering, analytics, machine learning, and AI teams a single place to work, governed by a unified security and data layer called Unity Catalog. The platform is built on open source foundations, Apache Spark, Delta Lake, and MLflow among them, which means organizations avoid vendor lock-in and can run on AWS, Azure, or Google Cloud. Customers use Databricks to find and treat diseases and cancer earlier, identify new approaches to combating climate change, detect financial fraud in real time, accelerate pharmaceutical development, reduce time to mental health intervention, and address local financial inequality. The platform is designed for organizations that want a single foundation for both their data warehouse and their AI workloads, rather than stitching together separate tools for each.
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Peer Discussions
Databricks AI/BI Reviews and Ratings
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Strong Data Processing Capabilities Not Ideal for Low Consumption AI Use Cases
Very suited for data intensive workloads combined with AI, but to costly for lightweight operational AI use cases. Databricks seems a strong long term candidate in the new AI age, but it needs to be complemented with other technologies that are more cost-effective for light-weight use cases.



