[DEMO] Agentic coding is moving faster than ever. Your database needs to keep up.Lakebase Branching creates isolated, ephemeral database environments that let AI coding agents experiment and iterate without putting production data at risk.See how branching works, why it's fast and cost-efficient, and how to set up an agentic workflow with the Databricks CLI and AGENTS.md.
1:27
[DEMO] Agentic coding is moving faster than ever. Your database needs to keep up.Lakebase Branching creates isolated, ephemeral database environments that let AI coding agents experiment and iterate without putting production data at risk.See how branching works, why it's fast and cost-efficient, and how to set up an agentic workflow with the Databricks CLI and AGENTS.md.
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x.comDatabricks
Databricks (@databricks) on X
0:20
Databricks (@databricks) on X
4.9K views4 months ago
x.comDatabricks
[DEMO] Agentic coding is moving faster than ever. Your database needs to keep up.Lakebase Branching creates isolated, ephemeral database environments that let AI coding agents experiment and iterate without putting production data at risk.See how branching works, why it's fast and cost-efficient, and how to set up an agentic workflow with the Databricks CLI and AGENTS.md.
1:27
[DEMO] Agentic coding is moving faster than ever. Your database needs to keep up.Lakebase Branching creates isolated, ephemeral database environments that let AI coding agents experiment and iterate without putting production data at risk.See how branching works, why it's fast and cost-efficient, and how to set up an agentic workflow with the Databricks CLI and AGENTS.md.
3.5K views3 months ago
x.comDatabricks
Over 500,000 people have used Databricks Free Edition to learn, experiment, and build with data and AI. Today, we're making it a lot more powerful.Free Edition now includes five new products:𝗚𝗲𝗻𝗶𝗲 𝗖𝗼𝗱𝗲 — generates, runs, and iterates on code autonomously on your behalf𝗦𝗲𝗿𝘃𝗲𝗿𝗹𝗲𝘀𝘀 𝗚𝗣𝗨𝘀 — access to GPUs for deep learning, fine-tuning, and inference workloads𝗟𝗮𝗸𝗲𝗯𝗮𝘀𝗲 — a fully managed Postgres-compatible database built for data apps and AI agents𝗔𝗴𝗲𝗻𝘁 𝗕𝗿𝗶𝗰𝗸𝘀
0:24
Over 500,000 people have used Databricks Free Edition to learn, experiment, and build with data and AI. Today, we're making it a lot more powerful.Free Edition now includes five new products:𝗚𝗲𝗻𝗶𝗲 𝗖𝗼𝗱𝗲 — generates, runs, and iterates on code autonomously on your behalf𝗦𝗲𝗿𝘃𝗲𝗿𝗹𝗲𝘀𝘀 𝗚𝗣𝗨𝘀 — access to GPUs for deep learning, fine-tuning, and inference workloads𝗟𝗮𝗸𝗲𝗯𝗮𝘀𝗲 — a fully managed Postgres-compatible database built for data apps and AI agents𝗔𝗴𝗲𝗻𝘁 𝗕𝗿𝗶𝗰𝗸𝘀
3.5K views4 months ago
x.comDatabricks
New capabilities across the Databricks AI Platform help ML teams tackle some of the most challenging parts of building production machine learning systems.We're announcing advances in ML engineering, deep learning, and real-time inference:• Genie Code now comes with upgraded intelligence for ML engineering and native integrations across every Databricks ML Platform component: feature engineering, model training, serving, and monitoring• AI Runtime, a unified deep learning platform for large-scal
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New capabilities across the Databricks AI Platform help ML teams tackle some of the most challenging parts of building production machine learning systems.We're announcing advances in ML engineering, deep learning, and real-time inference:• Genie Code now comes with upgraded intelligence for ML engineering and native integrations across every Databricks ML Platform component: feature engineering, model training, serving, and monitoring• AI Runtime, a unified deep learning platform for large-scal
2.8K views4 months ago
x.comDatabricks
Databricks CEO: ‘We want to be a public company,’ but there’s ‘too much distraction’ right now
4:08
Databricks CEO: ‘We want to be a public company,’ but there’s ‘too much distraction’ right now
2 months ago
CNBCSamantha Subin
Databricks (@databricks) on X
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Databricks (@databricks) on X
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x.comDatabricks
1:19
Databricks Free Edition just got even better for builders.New in Free Edition:→ Agent Bricks→ Genie Code→ Serverless GPUs→ Lakebase→ Lakeflow DesignerWith these additions, Free Edition now includes every core Databricks practitioner feature, giving users a complete, free toolkit for building end-to-end data and AI projects.Start building with Free Edition today:
3.5K views4 months ago
x.comDatabricks
0:52
スタンバイ様に、データ基盤移行についてのブログを書いていただきました🌟🌟Athena/Glue から Databricks への移行にあたり、成熟度アセスメントや利用者アンケートで課題を丁寧に可視化されたうえでの技術選定プロセスがとても読み応えあります。ぜひご覧ください✨▶︎https://t.co/2igqrUYL0s🔹データマネジメント成熟度アセスメントと利用者アンケートを実施🔹データ統合、リネージ、KPIの不一致、データ品質など5つの重点課題を明確化🔹実ワークロードを使ったPoCで、コスト・開発体験・ガバナンス・AI活用などを比較🔹オープンなデータ管理、約3割のコンピューティング費用削減見込み、AI活用を評価しDatabricksを採用🔹dbt × Databricks SQL、Unity Catalog、Lakeflow Jobsを中心とした新基盤へ移行技術選定だけでなく、社内利用者を巻き込んだ移行の進め方や、Athena SQLをDatabricks SQLへ変換するツールを活用した工夫まで、実践的な知見が詰まっています。データ基盤刷新を検討されている方に、ぜひ
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x.comDatabricks Japan🧱
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Databricks CEO Ali Ghodsi: Wouldn't rule out going public in 2026
9 months ago
CNBCJordan Novet
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"Every stateful system has got to have the ability to create a staging environment, branch what you have, and give agents permission to make mistakes."Databricks' VP @nikitabase joins 𝘐𝘵'𝘴 𝘈𝘣𝘰𝘶𝘵 𝘋𝘢𝘵𝘢 to discuss why branching and version control are becoming foundational for AI-native software development, how teams can manage schema drift as AI accelerates development, and the architectural ideas behind Lakebase.Watch the full conversation:
3.6K views3 months ago
x.comDatabricks
1:56
"The agent is completely useless if you can't share sessions with someone and have history and have search and all this layer on top of it for collaboration."Databricks co-founders @matei_zaharia and @rxin joined @latentspacepod to discuss where AI infrastructure is headed.They unpack why Databricks built Omnigent as an open-source meta-harness, why LTAP unifies storage instead of query engines, and why AI agents need live operational context from databases as they take on more real-world work.L
3.5K views3 months ago
x.comDatabricks
1:42
Databricks (@databricks) on X
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x.comDatabricks
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Omnigent is an open source AI meta-harness that gives teams one place to compose, control, and collaborate across agent workflows.Bring together coding agents including Codex, Claude, Cursor, Pi, Antigravity, and your own custom agents. Add dynamic guardrails, run agents in isolated remote sandboxes, and share live sessions by URL so teammates can review, comment, and steer agents together in real time.Omnigent is available now. Start orchestrating your agents:
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x.comDatabricks
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Databricks Japan🧱 (@DatabricksJP) on X
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x.comDatabricks Japan🧱
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🚨 STOP AND LOOK AT THE CHART 🚨Every time a major AI company goes public this year, the S&P 500 takes a hit- SpaceX in June- Anthropic in September- Databricks in DecemberThree separate liquidity drains hitting the market across the same yearThe mechanism doesn't change between eventsInstitutions sell SPX positions to fund each new allocationRetail chases each IPO and pulls cash from the broader marketThen the dust settles - and the next IPO arrivesThere is no recovery window between these even
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x.comNoName
1:45
"At @databricks, we can do an enterprise-grade LLM migration now in 30 days ... or less.That used to take as long as 3+ years."Databricks co-founder Arsalan Tavakoli
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