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Databricks is the data and AI company, helping data + AI teams solve the world’s toughest problems.
The Innovator
Databricks is a leader in the data and AI space, known for pushing the boundaries of what's possible with data processing and analytics. They are committed to providing cutting-edge solutions that empower organizations to tackle complex challenges.
Databricks is so innovative, they probably update their own updates. Just when you think you're on top of their latest features, they've already moved on to the next big thing. Keeps you on your toes, or should we say, your cloud platforms?
One of their biggest wins is the widespread adoption of Delta Lake, which has become a cornerstone for many data engineering workflows, showcasing their impact on the industry.
To democratize data and AI, making it accessible and actionable for businesses of all sizes, driving innovation and efficiency across industries.
Databricks believes in the power of open-source technologies and collaboration to accelerate the development of data and AI solutions. They value transparency, quality, and the communal aspect of technological advancement.
Their strength lies in their technical expertise, innovative spirit, and their ability to partner with industry giants to bring state-of-the-art technology to the masses.
Their focus on cutting-edge technology might sometimes lead to a pace that can be challenging for users or organizations struggling to keep up with the rapid evolution of data and AI tools.
To further grow their audience, Databricks should continue to engage with the community through webinars, tutorials, and open-source contributions, making complex data and AI concepts accessible to a broader audience.
Did you know that Databricks was founded by the creators of Apache Spark? This showcases their deep roots in open-source and their commitment to driving the industry forward.
Top tweets of Databricks
Most engaged tweets of Databricks
Latest tweets of Databricks
Happening TODAY! 🚨 Join Agents in Production 2025 for a can’t-miss session on building evaluation-driven Agentic systems with M…
“We have to be very tailored to our users because every brand has a brand voice.” – Sailesh Bharathwaaj Krishnamurthy, Head of AI Center of Excellence, 7-Eleven See how @7eleven uses LangGraph and Mosaic AI to build a multi-agent assistant that helps marketing teams generate campaign ideas, write copy, verify messaging, and answer questions: databricks.com/dataaisummit/s…
OAuth Git credentials for service principals are now GA on GitHub and Azure DevOps! This means: ✔️ No more PATs or manual rotation ✔️ Tokens refresh automatically and expire after a few hours ✔️ Repo-scoped access for tighter control Use OAuth to secure your Git integrations and simplify automated workflows: databricks.com/blog/oauth-20-…
📣 Announcing: Apache Spark™ Python Data Source for @huggingface AI Datasets! During this virtual event, you’ll learn how…
MCP is quickly becoming a standard for equipping LLMs with tools and context. That's why we're excited to provide organizations with the best of all worlds with our new MCP integrations! Use MCP for your agents to take action, Mosaic AI for building and evaluating agents, and Unity Catalog for governance and discovery. With these new capabilities, we’re handling the hard parts of MCP for you, so you can focus on building and deploying agents. databricks.com/blog/announcin…
Learn how to build sophisticated, governed AI systems that enable natural language interaction with both structured databases and unstructured documents. This Agent Bricks session covers techniques for combining vector and structured retrieval, enriching unstructured data, and ensuring consistent governance — plus methods for evaluating and improving KBQA system performance. Watch on-demand: databricks.com/dataaisummit/s…
Databricks reposted
Lakeflow Designer is a new tool to bridge the gap between data engineers and business analysts. Production-quality ETL with no code required! This short demo shows Lakeflow Designer in action: import spreadsheets + transform data with drag-and-drop, translate and classify data with Databricks Assistant, specify pipeline transformations using examples, and deploy a visual pipeline to production. Full demo here: youtu.be/kvqsfEGnWyk?si…
🎮 Game developers have been building smart systems for years, but today’s players want more: - Dynamic game worlds - Personalized experiences - Community support for live games This is where #AgenticAI comes in. Check out these practical use cases powered by agentic AI, including living NPCs, QAgents, and community support — and how to get started using the Databricks Data Intelligence Platform. databricks.com/blog/leveragin…
AI/BI Genie brings a no-code, natural language interface to self-serve analytics — making it accessible to technical and non-technical users alike. Through AI-powered data intelligence, business users can explore insights and create visualizations by asking simple questions 💬 Watch this demo to see how easy set-up and maintenance can be: youtube.com/watch?v=-1INWs…
Attending #ICML2025 in Vancouver? Don’t miss the Databricks Networking Party at Mahony’s Tavern Convention Centre! 🍹 Dri…
Companies across industries are experimenting with GenAI, but there’s a gap between project proof of concept and tangible outcomes. This is why measuring and understanding AI maturity is crucial. Organizations need a clear framework to assess where they stand today and chart a course toward greater AI capability. Meet The AI Maturity Model - a comprehensive guide + practical insights to help organizations assess their AI agent readiness. From governance to use cases to upskilling. Give it a read: databricks.com/resources/eboo…
Lakebridge is a free migration tool designed to automate the migration from legacy data warehouses to Databricks. Automate up to 80% of migration tasks! How it works: Lakebridge delivers a comprehensive, end-to-end migration experience through three key components. – Analyzer: Assesses your legacy environment and scopes migrations. – Converter: Translates complex SQL and ETL workflows into performant Databricks SQL. – Validator: Ensures data accuracy with automated validation and reconciliation. Learn more: databricks.com/blog/introduci…
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