Databricks Data Intelligence Platform
Databricks, Inc.External reviews
637 reviews
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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 turnkey services
What do you like best about the product?
It’s flexible and easy to implement using their cloud services
What do you dislike about the product?
It’s difficult to forecast DBU costs. Would be very helpful to have better modeling tools.
What problems is the product solving and how is that benefiting you?
Aggregating and analyzing extremely large data sets.
Databricks Proud User
What do you like best about the product?
I have recently started using databricks and love how the databricks autoloader and workflows works
What do you dislike about the product?
I think sometimes managing the infrastructure can be complicated
What problems is the product solving and how is that benefiting you?
Our team extensively uses databricks and use the data lake storage and ETL techniques on a regular basis
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.
Very easy platform to use with an efficient workflow orchestration
What do you like best about the product?
I like the fact that we can easily onboard workflows on the platform and perform heavy workloads with ease
What do you dislike about the product?
It's a bit tricky to setup and also requires some knowledge on cluster configuration
What problems is the product solving and how is that benefiting you?
we solve banking data processing workloads and use tools like databricks autoloader to ingest banking source files
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
Nice
What do you like best about the product?
Great tool for integrated data management
What do you dislike about the product?
Cost - you need to know how to optimize your cost
What problems is the product solving and how is that benefiting you?
Unified layer and single source of truth can help users to have confidence in using the data throughout different teams in the organization
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