Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. Founded in 2013 by the original creators of Apache Spark™, Delta Lake, MLflow and Unity Catalog, Databricks is built on an open lakehouse architecture that brings data, analytics and AI together. The platform is used by data engineers, data scientists, analysts, developers, machine learning teams, AI teams and business users to collaborate across the full data and AI lifecycle. Key Databricks capabilities include: - Data engineering: Build, automate and manage reliable batch, streaming and real-time data pipelines. - Analytics and business intelligence: Run SQL analytics, create dashboards and enable business teams to explore data. - Data governance: Discover, secure and manage data and AI assets across teams, clouds and workloads. - Machine learning and AI: Develop models, build generative AI applications and create production-grade AI agents. - Data applications: Build and deploy data-driven applications using governed enterprise data. Available across AWS, Azure and Google Cloud, Databricks helps organizations work across clouds, reduce data silos and simplify collaboration across teams and tools. Customers use Databricks for use cases such as customer personalization, fraud detection, predictive maintenance, real-time analytics, cybersecurity, healthcare research, financial risk management, supply chain optimization and AI-powered decision-making. Databricks is used across industries including financial services, healthcare and life sciences, retail, manufacturing, energy and the public sector. Organizations use the platform to modernize data infrastructure, accelerate AI adoption and turn enterprise data into business value.
Average Rating: 4.6/5.0
Total Reviews: 1,368
How Do G2 Users Rate Databricks?
- Has the product been a good partner in doing business?: 8.9/10 (Category avg: 9.0/10)
Who Is the Company Behind Databricks?
- Seller: Databricks Inc.
- Company Website:
- Year Founded: 2013
- HQ Location: San Francisco, CA
-
LinkedIn® Page: www.linkedin.com
14,336 employees on LinkedIn®
Who Uses This Product?
- Who Uses This: Data Engineer, Data Analyst
- Top Industries: Information Technology and Services, Financial Services
- Company Size: 47% Large, 38% Medium
What Do G2 Reviewers Say About Databricks?
AI-generated summary from verified user reviews
Pros
- Users appreciate the seamless integration of big data and AI in Databricks, enhancing collaboration and performance.
- Users appreciate the ease of use of Databricks, valuing its seamless integration and fast performance.
- Users appreciate the seamless integration of Databricks with big data processing and AI, enhancing collaboration and performance.
- Users value the seamless collaboration features of Databricks, enhancing teamwork and data analysis across departments.
- Users appreciate the seamless integration of big data processing and AI in Databricks, enhancing collaboration and efficiency.
Cons
- Users find the learning curve steep with Databricks, requiring time and skills to adapt effectively.
- Users note that the cost can scale quickly, making cost monitoring and control a significant challenge.
- Users find the steep learning curve of Databricks challenging, requiring considerable effort to adapt for business use cases.
- Users find the inadequate ingestion options for non-standard data sources a limitation in Databricks' functionality.
- Users find Databricks' complexity challenging, especially for beginners and smaller teams trying to fine-tune the system.
What Are Recent G2 Reviews of Databricks?
"Databricks Unifies Data Engineering, Analytics, and ML Seamlessly"
Rating: 5.0/5.0 stars
— Shubhangi J.
"Flexible Azure Data Engineering with Databricks: Delta Lake, PySpark & Spark SQL"
Rating: 4.0/5.0 stars
— Harshal A.
What Are G2 Users Discussing About Databricks?
- What does Databricks software do? - 4 comments, 1 upvote
- What is Databricks unified analytics platform? - 3 comments
- What is Lakehouse in Databricks? - 4 comments, 3 upvotes
- What are the features of Databricks? - 4 comments, 3 upvotes

