What is Databricks?
Databricks unveils its revolutionary Data Intelligence Platform, a comprehensive solution designed to empower organizations with the tools and capabilities to harness the full potential of AI while maintaining data privacy and control. This platform unifies data, AI, and governance, enabling companies to build generative AI applications, democratize insights across the organization, and drive down costs by simplifying complexity. With a data-centric approach, Databricks ensures that great models are built with great data, maintaining lineage, quality, control, and privacy across the entire AI workflow.
Key Features:
Succeed with AI: Develop generative AI applications on your data without compromising on data privacy or control, ensuring that AI is accessible and beneficial for everyone in the organization.
Democratize Insights: Empower all employees to discover insights from data using natural language, breaking down technical barriers and enabling a data-driven culture.
Drive Down Costs: Achieve efficiency by unifying data, AI, and governance, simplifying complexity and reducing costs associated with multiple, disjointed systems.
Unify Data + AI: Consolidate all data and AI workflows on a single platform, maintaining lineage, quality, control, and privacy across the entire AI workflow.
Create, Tune, and Deploy Generative AI Models: Automate experiment tracking and governance, enabling the deployment and monitoring of models at scale.
Use Cases:
JetBlue uses Databricks to optimize operations, grow revenue, and reduce flight delays by leveraging the power of AI and large language models.
Condé Nast crafts personalized content for every consumer across its 37 brands, utilizing Databricks for faster analysis and decision-making.
Block, the parent company of Square, Cash App, and Afterpay, unifies data and AI on Databricks, including large language models, to provide customers with easier access to financial opportunities.
Conclusion:
Databricks' Data Intelligence Platform is transforming how companies approach data and AI, enabling them to become data + AI companies. With its ability to unify data, AI, and governance, organizations can achieve breakthroughs, innovate faster, and drive down costs. Ready to join the ranks of industry leaders like JetBlue, Condé Nast, and Block? Take the first steps in your transformation today.
FAQs:
Q: How does Databricks ensure data privacy while building AI applications?
A: Databricks maintains data privacy by ensuring lineage, quality, control, and privacy across the entire AI workflow, allowing organizations to build generative AI applications without sacrificing data privacy.Q: Can Databricks help in reducing costs associated with data and AI operations?
A: Yes, Databricks simplifies complexity and reduces costs by unifying data, AI, and governance, streamlining operations and enabling efficiency.Q: What makes Databricks' Data Intelligence Platform different from other data and AI solutions?
A: Databricks stands out by offering a comprehensive solution that unifies data, AI, and governance, empowering organizations to build generative AI applications, democratize insights, and drive down costs, all while maintaining data privacy and control.
More information on Databricks
Launched
2011-07
Pricing Model
Paid
Starting Price
Global Rank
6615
Follow
Month Visit
4.7M
Tech used
Google Analytics,Cloudflare CDN,CookieLaw,OneTrust,Vercel,Gzip,OpenGraph,Progressive Web App,Webpack,HSTS
Top 5 Countries
43.92%
15.72%
4.42%
3.44%
3.11%
United States
India
United Kingdom
Brazil
Netherlands
Traffic Sources
2.72%
2.04%
0.11%
6.78%
36.29%
52.06%
social
paidReferrals
mail
referrals
search
direct
Source: Similarweb (Sep 24, 2025)
Databricks was manually vetted by our editorial team and was first featured on 2024-07-24.
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