Knowledge catalogue
This article discusses how Chief Financial Officers at consulting firms can use Databricks' data and AI platform to improve operational margins and profitability. It likely covers strategies for lever
Databricks announced a new feature called Native Lakehouse Sync, which enables seamless synchronization of data between external data sources and Databricks' lakehouse platform. This capability likely
Databricks and Stitch have partnered to address the marketing activation gap by integrating data infrastructure with marketing performance capabilities. The partnership enables marketers to leverage u
Backstage with Lakebase is a Databricks blog post that likely explores the integration or collaboration between Backstage (an open-source developer portal platform) and Lakebase (Databricks' data lake
Databricks and Stripe have collaborated on infrastructure projects designed to support AI agents, likely focusing on data processing and payment integration capabilities. The initiative demonstrates h
Databricks has implemented catalog federation capabilities that enable Unity Catalog to interoperate with Google BigQuery, allowing users to access and manage BigQuery datasets through the Unity Catal
Databricks Genie is an AI-powered assistant that enables users to query data and generate insights through natural language interactions, reducing the need for SQL expertise. The next generation updat
Databricks announced an integration of its Delta Sharing technology with Adobe Experience Platform to enable seamless data exchange for marketing workflows. The integration facilitates agentic marketi
The Data+ AI Summit features hands-on workshops and sessions covering practical applications of AI agents, vibe coding (a Databricks term for intuitive, conversational AI development), and other emerg
Mercedes-Benz implemented a cross-cloud data mesh architecture using Databricks Delta Sharing and intelligent replication to optimize their data infrastructure across multiple cloud providers. The sol
A transactional database is a database system designed to process and manage individual transactions with strict ACID (Atomicity, Consistency, Isolation, Durability) compliance to ensure data integrit
This Databricks resource explains how to implement customer-managed keys (CMK) for encryption in Lakebase Postgres, enabling users to control their own encryption keys rather than relying on provider-
LOTS of alpha in this pod: - Why Databricks beat Snowflake (! a straight answer!) - Why everyone is building a metaharness now - Why the @neondatabase made so much sense (so much @nikitabase glazing i
This article discusses why Databricks leaders argue that the frontier AI ecosystem should remain open rather than closed, likely covering topics such as open-source AI development, the benefits of col
TriNetX is a global health research network that connects pharmaceutical companies, study sites, investigators, and patients by leveraging real-world data (RWD) from electronic health records acros...
Agent harnesses are spark LangSmith is databricks harnesses seem to be the abstraction that encapsulates all of the 'business logic' or 'business connections' into a coherent unit that you can iterate
Databricks Research introduced **MemAlign**, a memory framework for AI agents that stores past interactions as episodic memories and uses an LLM to distill them into generalized semantic rules, whi...
Since our initial announcement, we have started onboarding beta design partners. - Connect your Lakebase data - Build an application - Deploy to your Databricks account Reach out to your Replit/Databr
This new era of artificial intelligence is all about getting the most value out of data, and Databricks Inc. is at the center of that development. Following competitor Snowflake Inc.’s annual summit l
Databricks announced a public preview feature enabling users to customize URLs for their workspace instances, improving accessibility and branding capabilities. This feature allows organizations to re
Agentic artificial intelligence is being misread as a set of separate battles – for example, Snowflake Inc. versus Databricks Inc., copilots versus agents, model makers versus application vendors. We
Databricks has integrated OpenAI's GPT-5.5 model into enterprise agent workflows, enabling organizations to build and deploy AI agents with advanced language capabilities. This partnership leverages D
This article is the second installment in a series exploring Lakebase, Databricks' data management solution, providing behind-the-scenes insights into its architecture, capabilities, or integration wi
PipelineIQ is a Databricks solution that leverages data analytics and AI to provide predictive sales intelligence, enabling sales teams to forecast pipeline outcomes and identify actionable opportunit
Conversational analytics, as demonstrated by Databricks' Genie and Lakebase, helps CIOs, CTOs, and CDOs bypass the traditional Business Intelligence (BI) bottleneck. This approach allows enterprises t
This article from Databricks discusses the challenges and inefficiencies of manually building Change Data Capture (CDC) pipelines and advocates for automated or framework-based approaches to streamlin
This Databricks resource discusses production-ready architectural approaches for integrating multimodal data (structured, unstructured, images, text, etc.) in healthcare AI systems. It likely covers b
Databricks outlines eight key AI and data trends expected to transform financial services in 2026, likely covering advancements in generative AI, real-time data processing, machine learning for risk m
Databricks introduced Agent Bricks as an enterprise-grade platform for building, deploying, and governing AI agents within the Databricks ecosystem. The platform is designed to address key enterprise
Databricks explores how agentic AI systems can reason over both structured data (such as tables and databases) and unstructured data (such as documents and text) to answer complex business questions.
GLM-5.2 is the open-source Claude moment. The demand we’re seeing at Databricks is astonishing. The world is going to see massive adoption of oss LLMs. Also, more companies will shift toward post-trai
Today’s data lakehouse is no longer mere data repository, but increasingly a system of action, actively executing tasks via always-on, autonomous AI agents. Rather than waiting for static reports, the
Unravel Data Systems Inc. is expanding beyond observability and FinOps software with a new autonomous optimization engine designed to automatically tune and remediate enterprise data platforms running
The artificial intelligence wave is starting to look a bit like the personal computer era – with some obvious differences. The first similarity is personal productivity. Individuals are taking control
Real-time decisioning for AI agents requires a foundational customer context layer that provides unified, up-to-date customer data to enable accurate and personalized decisions. Databricks explains ho
This guide from Databricks covers data transformation techniques and best practices essential for preparing data for AI/ML projects, addressing workflows that both data engineers and data scientists e
Databricks introduced Genie Agent Mode, a feature that enables autonomous AI agents to perform tasks within the Databricks platform by interpreting natural language instructions and executing data ope
Banks face challenges implementing AI not due to lack of AI technology, but rather due to fragmented, siloed data platforms that prevent effective data integration and accessibility. The article argue
AI assistants interpret user requests, automate routine tasks, and streamline enterprise workflows. Key considerations when choosing one include integration capabilities, data security, scalability, a
In this post, we demonstrate how to build a secure, complete LLM fine-tuning workflow that integrates Unity Catalog with Amazon SageMaker AI using Amazon EMR Serverless for preprocessing. The solution
This Databricks blog post discusses agentic data engineering capabilities enabled by Genie Code and Lakeflow, which are tools designed to automate and streamline data engineering workflows through AI-
The article discusses the launch of a revamped Monday Morning Report powered by generative AI, designed to automatically aggregate, analyze, and present key business metrics to executives. By leveragi
Enterprise AI agents lose effectiveness when they must access data outside of protected, governed systems. The article argues that truly reliable agents need to be *data‑native*—run directly inside th
This Databricks resource covers best practices for implementing automatic upgrades on lakehouse tables, likely discussing how to leverage automated features to optimize table performance, maintain dat
Barracuda has integrated with Databricks' AI assistant Genie to enable natural language querying of security logs, allowing security teams to analyze and extract insights from log data through convers
Databricks describes contextual policies in Omnigent, a framework that leverages session state to implement more effective governance and control mechanisms for AI agents. By maintaining and utilizing
Databricks introduces Vibe Data Modeling, a new approach to data modeling designed specifically for lakehouse architectures that aims to simplify and improve how organizations structure and manage dat
Databricks introduces Cross-Engine Attribute-Based Access Control (ABAC), a feature that extends fine-grained access control policies across multiple query engines and data processing platforms within
Databricks introduces database branching capabilities through Lakebase, enabling developers to create isolated database branches for parallel development and testing without affecting production envir
This Databricks resource discusses how pharmaceutical companies can use analytics to optimize their product launch strategy, focusing on accelerating critical decision-making during the crucial first
This Databricks resource explains how to use SQL alerts to automate the monitoring of data quality and key performance indicators (KPIs), enabling automated detection and notification of anomalies or
This Databricks guide demonstrates how to implement real-time fraud detection systems by leveraging Spark Real-Time Mode and Lakebase to process and analyze streaming data for identifying fraudulent t
Databricks announced expanded interoperability capabilities for Unity Catalog through open APIs, enabling third-party applications and platforms to integrate with and access Unity Catalog's data gover
This article likely explores how Databricks' unified analytics platform enables energy traders to process and analyze market data in real-time, supporting faster decision-making and risk management in
Databricks' Lakebase architecture optimizes PostgreSQL write performance by achieving 5x faster speeds through architectural innovations. The approach likely leverages optimizations such as improved b
Operational databases are designed to manage and power real-time transactions by handling high-throughput Online Transaction Processing (OLTP) workloads. They differ significantly from data warehouses
Databricks AI Gateway provides a secure mechanism for connecting AI agents to external Model Context Protocol (MCP) servers, enabling agents to access external tools and data sources without exposing
The article describes a method for creating a scalable AI‑agent orchestrator on Databricks that relies solely on Lakebase Postgres. It explains how the database can handle coordination and task schedu
Feature Views is a Databricks capability that provides a standardized way to define, manage, and serve machine learning features across an organization. This feature enables data teams to create reusa
Agentic marketing leverages AI agents to automate marketing tasks, and this approach requires a robust data foundation as its core component. Databricks discusses how organizations need unified data p