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Databricks

@databricks93,619 subscribers

Databricks is the Data and AI company, helping organizations build and scale data and AI apps, analytics and agents.

Shorts

Introducing Lakehouse//RT, a real-time data warehouse that delivers millisecond responses at massive scale without data movement. Support real-time workloads while using the same open formats, governance, and data architecture already powering your analytics and AI.

Introducing Lakehouse//RT, a real-time data warehouse that delivers millisecond responses at massive scale without data movement. Support real-time workloads while using the same open formats, governance, and data architecture already powering your analytics and AI.

30,150 Aufrufe

Meet #DBRX: a general-purpose LLM that sets a new standard for efficient open source models. Use the DBRX model in your RAG apps or use the DBRX design to build your own custom LLMs and improve the quality of your GenAI applications.

Meet #DBRX: a general-purpose LLM that sets a new standard for efficient open source models. Use the DBRX model in your RAG apps or use the DBRX design to build your own custom LLMs and improve the quality of your GenAI applications.

327,766 Aufrufe

Operational databases have long relied on tightly coupled compute and storage. This architecture creates resource contention and pushes teams to manage infrastructure rather than build. As applications become more real time and automated, the transactional layer needs to adapt. Databricks Lakebase is built for that evolution: • Familiar Postgres semantics for app developers • Compute separated from durable state • Operational data running directly on the lakehouse • Serverless autoscaling (including scale to zero), branching, and recovery to match agent-driven workload Now generally available:

Operational databases have long relied on tightly coupled compute and storage. This architecture creates resource contention and pushes teams to manage infrastructure rather than build. As applications become more real time and automated, the transactional layer needs to adapt. Databricks Lakebase is built for that evolution: • Familiar Postgres semantics for app developers • Compute separated from durable state • Operational data running directly on the lakehouse • Serverless autoscaling (including scale to zero), branching, and recovery to match agent-driven workload Now generally available:

18,611 Aufrufe

Announcing native availability of Anthropic Claude 3.7 Sonnet in Databricks across AWS, Azure and GCP! Customers can now securely access Claude’s advanced reasoning, planning and agentic capabilities directly within Databricks, no setup required. This launch marks the beginning of a strategic partnership between Anthropic and Databricks. We’re excited to see what our customers build and how they leverage domain-specific AI agents!

Announcing native availability of Anthropic Claude 3.7 Sonnet in Databricks across AWS, Azure and GCP! Customers can now securely access Claude’s advanced reasoning, planning and agentic capabilities directly within Databricks, no setup required. This launch marks the beginning of a strategic partnership between Anthropic and Databricks. We’re excited to see what our customers build and how they leverage domain-specific AI agents!

12,691 Aufrufe

Introducing Databricks LakeFlow, a new solution that simplifies all aspects of data engineering through a simple, unified & intelligent experience. Easily build production-grade data pipelines to scale to the ever-growing demand for reliable #data & #AI.

Introducing Databricks LakeFlow, a new solution that simplifies all aspects of data engineering through a simple, unified & intelligent experience. Easily build production-grade data pipelines to scale to the ever-growing demand for reliable #data & #AI.

13,773 Aufrufe

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