Knowledge catalogue
Stripe payment data is now accessible directly through the Databricks Marketplace, enabling users to integrate and analyze Stripe transaction and business data within their Databricks workspace. This
Databricks has released a connector that enables Google Sheets users to access real-time data directly from Databricks lakehouses with built-in governance controls. The connector allows seamless integ
Replit and Databricks have partnered to enable enterprise teams to build and deploy secure, production-grade data and AI applications by combining Replit's AI-powered development environment with D...
Replit now deploys directly to Databricks. Your apps run inside your Databricks environment while inheriting its security, governance, and data access. Beta is live. Enterprises are already building w
Databricks Lakebase introduces Git-style database branching for PostgreSQL, allowing developers to create instant, isolated copies of their database using copy-on-write technology . Like Git bran...
The Databricks Excel Add-in is a tool that enables business users to directly access and analyze data from Databricks within Microsoft Excel without requiring advanced technical skills. This integrati
Databricks has partnered with Lovable, an AI-powered app development platform, to enable users to build data-driven applications quickly by combining Lovable's natural language interface with Databric
Databricks and Google Cloud have partnered to enable organizations to build and deploy data and AI solutions more efficiently. The collaboration integrates Databricks' lakehouse platform with Google C
This article discusses how dbt integration with Databricks enables unified data transformation pipelines by combining dbt's open-source transformation capabilities with Databricks' lakehouse platform.
Databricks Document Intelligence and Lakeflow are tools designed to extract structured data from unstructured documents using AI and machine learning capabilities. This resource covers how to build an
The 2026 Built-On Databricks Startup Challenge recognized and celebrated winning startups that built innovative solutions using the Databricks data and AI platform. The competition showcased emerging
Databricks implements reliability measures and monitoring systems to ensure consistent GPU performance and availability across its AI platform infrastructure. The article likely covers their approache
Databricks announced the recipients of its 2026 Customer Awards, recognizing organizations that have demonstrated excellence and innovation in their use of the Databricks platform. The awards highligh
Databricks announced the winners of its 2026 Customer Awards, which recognize outstanding achievements and innovation by Databricks customers across various industries. The awards highlight organizati
Claude Fable 5 is now available as a model option on the Databricks platform, integrated with Unity AI Gateway to provide governance controls for enterprise users. This integration allows organization
Databricks outlines an architecture for implementing real-time product search using its Lakehouse platform, combining vector databases, embedding models, and Delta Lake to enable low-latency semantic
Databricks has announced that its support for Apache Iceberg v3 is now in Public Preview (available in Databricks Runtime 18.0 and above), introducing key capabilities including Deletion Vectors, R...
Zalando built a unified data foundation on Databricks using Unity Catalog, Metric Views, and Genie to govern data, standardize metrics, and enable natural language analytics — centralizing previous...
This article describes how to integrate Databricks with Kiro IDE using the AI Dev Kit, enabling developers to leverage Databricks' data and AI capabilities directly within their integrated development
Databricks Genie enables enterprise conversational intelligence across multiple industries through partner technology and functional solutions, allowing organizations to interact with data and systems
Databricks introduced Always-On pricing, a new pricing model for Databricks Lakehouse that provides automatic cost savings to customers. This pricing option likely offers discounted rates for committe
This article describes how to build a health data platform using FHIR (Fast Healthcare Interoperability Resources) standards on Databricks Lakehouse, combining healthcare data interoperability standar
The Databricks JDBC driver is an open-source tool that enables Java applications to connect to Databricks SQL warehouses and clusters with improved query performance and enhanced capabilities. The dri
Databricks announced a Student Fellows program designed to provide educational opportunities and professional development for undergraduate and graduate students interested in data engineering, data s
Databricks has announced a partnership with OpenAI to integrate GPT-5.5, OpenAI's latest language model, into its data and AI platform. This collaboration enables Databricks customers to leverage GPT-
Databricks announced the public preview of Lakeflow Designer, a tool designed to simplify data pipeline creation and management within the Databricks platform. The feature likely provides a visual int
Electric has partnered with Databricks to extend Databricks’ PostgreSQL capabilities from the lakehouse into edge environments. This collaboration allows a wide range of lightweight open‑source databa
Databricks announced its participation or contributions at SIGMOD 2026, a premier international conference on database systems and management. The blog post likely covers Databricks' research papers,
Superhuman and Databricks collaborated to build a high-performance inference platform capable of handling 200,000 queries per second (QPS), leveraging Databricks' infrastructure and optimization capab
This Databricks resource explains how to securely transmit first-party conversion data to Snapchat using the Snapchat Conversions API through the Databricks Marketplace. It likely covers integration s
Databricks discusses how its platform enables CFOs in financial services to move beyond traditional spreadsheet-based processes by leveraging data analytics and unified data management capabilities. T
This framework provides guidance for organizations evaluating whether to migrate their ETL (Extract, Transform, Load) processes to Databricks, likely covering assessment criteria, migration strategies
Databricks describes how its platform enables organizations to process and analyze video data, converting raw video content into searchable and actionable intelligence through machine learning and dat
The English Office for Students uses Databricks' data platform to analyze higher education data at scale, enabling better monitoring of institutional performance and student outcomes across English un
Databricks announced a new learning pathway designed to help professionals develop skills in analytics engineering. The program likely covers essential competencies such as data transformation, SQL, d
OpenAI's GPT-5.5 model is now available on Databricks' platform with governance capabilities provided through Unity AI Gateway, enabling enterprises to deploy and manage the model within their data in
Databricks' 5th Genie Hackathon demonstrated key insights about their Genie AI product through three core capabilities: asking questions about data, building analytical solutions, and composing workfl
This guide provides strategies and best practices for migrating data analytics workloads from Azure Synapse to the Databricks platform, covering technical considerations and transition planning. It li
This Databricks blog post evaluates the performance and capabilities of coding agents when applied to real-world scenarios involving their own multi-million line codebase, likely assessing metrics suc
OpenAI and Databricks collaborated at the DAIS 2026 conference to demonstrate practical applications of enterprise AI solutions. The partnership likely focused on integrating OpenAI's language models
This article describes how organizations can use specialized AI agents on the Databricks platform to automate and scale the triage of security alerts, improving the efficiency of security operations t
Databricks achieved the highest position in execution and furthest advancement in vision within the Gartner Magic Quadrant for the second consecutive year, reflecting its leadership in the data and an
Genesis Workbench is a collaborative framework developed by Databricks and NVIDIA designed to accelerate AI adoption in the life sciences industry by providing integrated tools and best practices. The
AWS and Databricks showcased their collaborative efforts to advance real-world AI innovation at the 2026 Data + AI Summit. The partnership demonstrates how the two companies are working together to ac
Databricks announced a storage ecosystem that enables organizations to govern and manage enterprise data across multiple storage locations and cloud environments. The solution addresses the need for u
This article discusses implementing Bank Secrecy Act (BSA) and Anti-Money Laundering (AML) compliance requirements using Databricks' data platform, likely covering how organizations can leverage data
This article describes techniques for using prompt caching to improve the inference speed and efficiency of open-source large language models when deployed on Databricks' platform. Prompt caching redu
The World Bank Group leverages Databricks' data and AI platform to enhance its poverty eradication efforts by enabling better data sharing, analysis, and knowledge dissemination across its operations
Databricks provides production-ready observability solutions for AI agents using OpenTelemetry integration and Unity Catalog, enabling comprehensive tracing and monitoring across distributed agent dep
Databricks Genie is a tool designed to democratize data access within financial services organizations by enabling non-technical users to query and analyze data through natural language interfaces. Th
Databricks Genie is a conversational AI platform that enables businesses to build industry-specific solutions through natural language interactions with data. The solution allows partners to develop a
Databricks partnered with the Good and Virtue Foundation to leverage data and technology solutions that connect medical volunteers with critical health services across 72 countries. The collaboration
Databricks Genie is a tool designed to enhance personalized retail experiences by leveraging data analytics and AI capabilities. The resource likely explains how retailers can use Genie to analyze cus
Databricks has launched the Context Engineer Associate certification, described as the industry's first credential specifically designed for professionals building reliable AI agent systems. The certi
Databricks Genie enhances supply chain visibility by leveraging real-time AI analytics to provide immediate insights into supply chain operations and decision-making. The solution enables organization
Deutsche Börse developed a generative AI tool to automate the migration of Zeppelin notebooks to Databricks at scale, addressing the complexity of converting legacy notebook formats. The solution leve
Databricks describes their approach to handling massive-scale observability and monitoring infrastructure that processes 10 trillion samples daily, moving beyond conventional monitoring solutions. The
nOps rebuilt their cloud optimization platform using Databricks Lakehouse, leveraging its unified data and analytics capabilities to improve performance and scalability. The article discusses the tech
This article describes how to integrate SAP business context and semantic metadata with Databricks using Delta Sharing, enabling organizations to share and analyze SAP data while preserving business m
Databricks employs Unity AI Gateway budgets to oversee spending on its coding agents, enabling tighter cost controls and optimized use of AI resources. The approach helps the organization balance budg