Databricks Data Intelligence Platform
Databricks, Inc.External reviews
637 reviews
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Databricks with Unity Catalog
What do you like best about the product?
Centralized management of data assets across environments through the Unity Catalog
What do you dislike about the product?
Single megastore per region and having very few metastore admins across the enterprise can make enterprise adoption challenging without having access to Databricks premium support
What problems is the product solving and how is that benefiting you?
Centralizing data assets under a single umbrella. Ingest data once and share using delta share instead of doing data copies which enables data to be consistent across the enterprise. Good lineage
Drive up your data processing efficiency
What do you like best about the product?
A robust platform that helps to improve data processing capabilities
What do you dislike about the product?
Though in my early stages of adoption, the platform is working well for us so far.
What problems is the product solving and how is that benefiting you?
Improves processing efficiency
Improves cost to processing ratio
Improves cost to processing ratio
Databricks has unlocked ML and AI for our data
What do you like best about the product?
ease of model hosting / serving and our availing to always have the latest and greatest with foundation models
What do you dislike about the product?
It is not very intuitive as a platform — lots of different permissions and compute is confusing
What problems is the product solving and how is that benefiting you?
Previously, any ML or AI was siloed off. Now we benefit from it all being in one place which makes orchestration much easier
Speed of execution and cutting-edge innovation
What do you like best about the product?
First, I like its integration with Microsoft Azure. Second, I like the computing power of the Spark clusters. Third, I like the ML library implementations.
What do you dislike about the product?
Occasionally, IT jobs fail because clusters could not start or crashed in the middle of a job execution. This is not necessarily Databricks' fault.
What problems is the product solving and how is that benefiting you?
Databricks provides a software platform that powers powerful, distributed execution of complex code and ML algorithm implementations over big data. This produces forecasts, recommendations, and analysis that power and scale up business processes and support customers, users, and executive decision making.
Empowering Data Teams with Unified Intelligence and Performance
What do you like best about the product?
Databricks excels at unifying data engineering, analytics, and AI/ML on a single platform. The Lakehouse architecture bridges the gap between data lakes and warehouses, making it incredibly efficient for managing structured and unstructured data. I especially appreciate the seamless integration with Apache Spark, robust notebook support for collaborative development, and the simplicity of Delta Lake for versioned data storage. Features like AutoML and Unity Catalog bring governance and intelligence together, making it easier to scale analytics securely and reliably.
What do you dislike about the product?
While powerful, the platform has a learning curve—especially for teams unfamiliar with Spark or distributed computing. Some features (like Unity Catalog or serverless compute) can be region-specific or limited by cloud provider compatibility. Additionally, job debugging and cluster cost management can be challenging without careful monitoring and tagging, particularly in enterprise-scale projects.
What problems is the product solving and how is that benefiting you?
Databricks solves the critical problem of data fragmentation by unifying data engineering, data science, analytics, and governance in one platform. Previously, we had to stitch together multiple tools—ETL frameworks, notebooks, ML platforms, and data warehouses. With Databricks, everything from ingestion to model deployment happens in one place, drastically reducing complexity and context-switching.
Another key problem it addresses is scalability and performance for big data workloads. The platform’s native support for Apache Spark and Delta Lake enables reliable, fast processing of massive datasets. This helps us run ML pipelines and analytics at scale without worrying about infrastructure bottlenecks.
Another key problem it addresses is scalability and performance for big data workloads. The platform’s native support for Apache Spark and Delta Lake enables reliable, fast processing of massive datasets. This helps us run ML pipelines and analytics at scale without worrying about infrastructure bottlenecks.
Great platform across the org
What do you like best about the product?
Feature set and governance across multiple business units
What do you dislike about the product?
Cost. It can be hard to track your prices
What problems is the product solving and how is that benefiting you?
Governance and transformation and serving of data
Data lake for the enterprise
What do you like best about the product?
You like Databricks for its ability to streamline data engineering, data analysis, and machine learning workflows in one unified platform.
What do you dislike about the product?
You dislike the Databricks platform for its potential complexity and the costs associated with scaling and managing large data workloads.
What problems is the product solving and how is that benefiting you?
The Databricks Data Intelligence Platform solves problems related to data silos, complex data integration, and real-time analytics, benefiting you by enhancing collaboration across teams, accelerating data processing, and enabling more informed decision-making.
Databricks as a product is extremely useful and learning is fun
What do you like best about the product?
I like the most how portable it is and support to all different kinds of programming languages
What do you dislike about the product?
Workspace UI can be better and easy, navigating between different features could be better
What problems is the product solving and how is that benefiting you?
It is solving our Data governance and security with unity catalog and also helping in Federated lakehouse, though there are few issues with compute, overall have good experience
Clear leader in the Data & AI space
What do you like best about the product?
The platform is as close to a one-stop shop for Data and AI in the industry, with nothing but solid delivery and a commitment to innovation.
What do you dislike about the product?
Some new rollout might take time to adapt to.
What problems is the product solving and how is that benefiting you?
We needed a platform that provides governance, warehousing and ML for our organization. Users are able to find and leverage data easily, while we are easily able to maintain security of said data.
Strong security features and easy to deploy
What do you like best about the product?
Strong security features and multi cloud capable
What do you dislike about the product?
Some features need some work to become more stable
What problems is the product solving and how is that benefiting you?
Creating reports for various purposes, business and compliance
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