“What matters enormously is reducing what I call insight lag, the gap between when data exists somewhere in the company and when someone can actually use it.” Howden Group Chief Data Officer Barry Panayi shares why governed data services, data quality closer to ingestion, and insight lag should shape how leaders think about enterprise data architecture in the AI era. Read the full conversation: https://lnkd.in/gsDp8QQu
About us
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks 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 Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).
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https://databricks.com
External link for Databricks
- Industry
- Software Development
- Company size
- 5,001-10,000 employees
- Headquarters
- San Francisco, CA
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- Privately Held
- Specialties
- Apache Spark, Apache Spark Training, Cloud Computing, Big Data, Data Science, Delta Lake, Data Lakehouse, MLflow, Machine Learning, Data Engineering, Data Warehousing, Data Streaming, Open Source, Generative AI, Artificial Intelligence, Data Intelligence, Data Management, Data Goverance, Generative AI, and AI/ML Ops
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Databricks reposted this
⚡ Lakebase vs Lakehouse in < 90 seconds. Why do you need both? Michael Armbrust, Distinguished Engineer at Databricks, is back for another tech walk! 💡 TLDR: Lakehouse solved analytics. Lakebase does the same thing for the transactional side. Two workloads, one open format. Back in the day, analytics over massive data meant a proprietary engine and a proprietary format. You loaded your data in and you were trapped. Lakehouse changed that: separate compute and storage, keep the data in an open format, and any engine can read it. But analytics is only one kind of workload. The apps behind things like RAG don't run huge queries. They run tiny operations that need answers in milliseconds. That's a latency problem, and it's a different type of data. The interesting part: Lakebase applies the same open-format unlock to OLTP that Lakehouse applied to analytics, with open source Postgres underneath. 💻 Want to get hands-on? Everything here is testable on Databricks Free Edition: https://lnkd.in/gsucJkzp
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Genie One is now available on iOS and Android, bringing the data-smart AI coworker wherever business decisions happen. Business users can chat with Genie, explore dashboards, access Databricks Apps, and get grounded answers on the go, all with the same permissions, identity controls, and network security they rely on across Databricks. Put trusted insights in your team’s pocket. Get started today: https://lnkd.in/gj9RNpF5
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Teams no longer have to choose between multi-engine flexibility, performance, and centralized governance. External access to Unity Catalog managed Delta tables is now in Public Preview. Engines like Apache Spark, Apache Flink, and DuckDB, can create, read, and write to the same governed copy of data. Behind the scenes, Predictive Optimization improves query performance and lowers storage costs. Migrating to UC managed tables is easy - simply upgrade your external tables with ALTER TABLE SET MANAGED. https://lnkd.in/gUPmFszK
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Thinking Machines Lab's first open-weights model, Inkling, is now available on Databricks through Unity AI Gateway. As a day zero launch partner, Databricks gives enterprise teams access to a model that excels at coding and agentic reasoning and supports multimodal inputs. Teams can customize Inkling for their business, govern it with centralized security, permissions, cost controls, and observability, and connect it to coding agents including Cursor and OpenCode. Start building with Inkling on Databricks → https://lnkd.in/g4EA832h
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Databricks consulting and SI partners are bringing an impressive range of cross-industry and function-specific solutions built using Databricks Lakebase, helping organizations accelerate modernization, agentic AI, and operational application development. The latest solutions cover automated database migration, stateful memory for AI agents, real-time personalization, finance, sales, supply chain, HR, customer service, and more. They combine deep domain expertise with Lakebase as the operational backbone for low-latency, governed workloads. Explore the partner-built solutions and accelerators helping organizations move faster without starting from scratch. https://lnkd.in/gJ_SkUaQ
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"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 Reynold Xin joined Latent Space 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. Listen to the full conversation. https://lnkd.in/gerR3Yj5
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One agent is just the start. Running fleets of AI agents is the next challenge. Join Databricks co-founder Patrick Wendell, OpenAI's 🦄 Peter Steinberger (creator of OpenClaw) and Engineering Lead for Codex, Thibault Sottiaux, plus Stellantis' Hugo Sechier, for a live conversation on building and deploying agentic apps at scale. Learn how to govern AI agents with fine-grained permissions and full auditability, and hear how Stellantis is operationalizing agentic AI across the enterprise. Register today: https://lnkd.in/gM_GvQBi
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Lakehouse//RT is built for workloads where milliseconds matter. Powered by the Reyden engine, it delivers millisecond query performance directly on the lakehouse. Preview users have seen up to 16× better performance than dedicated real-time serving layers, with response times as low as 10 ms on smaller datasets. https://lnkd.in/gFy4ErjX
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The biggest announcements and technical sessions from #DataAISummit are now available on demand. Catch keynotes and select sessions featuring the latest innovations, including: • Omnigent • Unity AI Gateway • Genie Ontology .. and much more Explore the technologies shaping the next generation of AI apps and agents: https://lnkd.in/gd_2Kw76