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: 1,335
How Do G2 Users Rate Databricks?
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Ease of Use: 8.8/10 (Category avg: 8.7/10)
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Data Governance: 8.9/10 (Category avg: 8.4/10)
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Data Security: 8.9/10 (Category avg: 8.8/10)
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Scalability: 9.2/10 (Category avg: 8.5/10)
Who Is the Company Behind Databricks?
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Seller: Databricks Inc.
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Company Website:
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Year Founded: 2013
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HQ Location: San Francisco, CA
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Twitter: @databricks
92,269 Twitter followers
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LinkedIn® Page: www.linkedin.com
15,627 employees on LinkedIn®
Who Uses This Product?
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Who Uses This: Data Engineer, Data Analyst
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Top Industries: Information Technology and Services, Financial Services
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Company Size: 47% Large, 38% Medium
What Do G2 Reviewers Say About Databricks?
AI-generated summary from verified user reviews
Pros
- Users praise the ease of use and comprehensive features of Databricks for data warehousing and ML applications.
- Users praise the ease of use of Databricks, enhancing their experience with intuitive interfaces and reliable services.
- Users appreciate the seamless integrations of Databricks with AWS and other tools, enhancing daily operations and efficiency.
- Users value the seamless collaboration offered by Databricks, enhancing teamwork on data projects with real-time insights.
- Users praise the integrated analytical features of Databricks, enhancing collaborative data processing and insight visualization.
Cons
- Users note a steep learning curve initially, with confusing permissions and compute modes affecting usability.
- Users note that the costs can be quite high for utilizing Databricks effectively, especially for large data projects.
- Users find a steep learning curve with Databricks, especially challenging for newcomers to big data tools.
- Users find the complexity of Databricks challenging, especially for smaller teams and initial setup processes.
- Users face complex setup challenges initially, though support helps simplify the experience over time.
What Are G2 Users Discussing About Databricks?
