How Databricks uses client-side load balancing to improve gRPC traffic, reduce tail latency, and handle ingress with real-time service discovery.| Databricks
Learn how Mastercard powers the economy by processing billions of transactions every year, unlocking opportunities for businesses and consumers and enabling commerce.| Databricks
Discover how PicPay uses Databricks to scale their data infrastructure and drive business growth with advanced analytics.| Databricks
Crisis Text Line uses Databricks to deliver efficient and effective support to those in need| Databricks
A large language model (LLM) is a new class of machine learning model that can answer open-ended questions, generate code and do many other tasks.| Databricks
Discover how Databricks' Data Intelligence for Marketing empowers teams to unify customer data, leverage AI-driven insights, and overcome modern challenges like privacy regulations and shrinking budgets. Transform your marketing strategy today!| Databricks
SAN FRANCISCO, CA — May 14, 2025 — Databricks, the Data and AI company, today announced its intent to acquire Neon, a leading serverless Postgres company. As the $100-billion-plus database market braces for unprecedented disruption driven by AI, Databricks plans to continue innovating and investing in Neon’s database and developer experience for existing and new Neon customers and partners.| Databricks
SAN FRANCISCO, CA — August 19, 2025 — Databricks, the Data and AI company, today announced it has signed a term sheet for its Series K round, which it expects to close soon with backing from existing investors. This funding values the company at >$100 billion.| Databricks
Mosaic AI Model Serving provides scalable, real-time model inference, integrating seamlessly with your data workflows.| Databricks
LakehouseIQ by Databricks uses generative AI to provide contextual answers to natural language questions, enhancing data accessibility and governance.| Databricks
New Unity Catalog functionality allows customers to centrally discover, query, and govern all data, no matter where it lives| Databricks
Discover, deploy, and manage data and AI applications directly from Databricks| Databricks
New release unifies lakehouse storage formats and reinforces Delta Lake as the best choice for building an open lakehouse| Databricks
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Learn how to combine the power of MCP with Databricks for highly capable, governed tools and agents.| Databricks
Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.| Databricks
Data + AI Summit — the premier event for the global data, analytics and AI community. Register now to level up your skills.| www.databricks.com
The Big Book of Generative AI: Best practices for building production-quality GenAI applications. Learn to build, deploy, and fine-tune models with code samples and expert insights.| Databricks
Discover how to build high-quality Retrieval-Augmented Generation (RAG) applications using Databricks.| Databricks
Speed up GenAI app development with Databricks' new foundation model capabilities, offering best practices for production-quality applications.| Databricks
This blog post discusses best practices for evaluating retrieval-augmented generation (RAG) applications using large language models (LLMs).| Databricks
Learn what the Delta Lake transaction log is, how it works at the file level, and how it enables ACID transactions on Delta Lake.| Databricks
Databricks unveils Lakehouse AI, enhancing generative AI development with new tools for LLMs, vector search, and comprehensive AI lifecycle management.| Databricks
Understand the transition from traditional data architectures to the modern data lakehouse, combining the best of data lakes and data warehouses.| Databricks
Learn how ACID transactions have long been one of the most enviable properties of data warehouses, but Delta Lake has now brought them to data lakes.| Databricks
Open and unified governance for data and AI| Databricks
Delta Lake is the high-performance format-agnostic storage for the open data lakehouse.| Databricks
Databricks SQL sets a new world record in 100TB TPC-DS, outperforming previous records by 2.2x with superior price performance.| Databricks
Discover the latest performance improvements in Databricks SQL, enhancing query speed and efficiency for your data analytics needs.| Databricks
Discover Photon, Databricks' new vectorized query engine, designed to enhance SQL and Spark query performance on AWS and Azure.| Databricks
Today, we are excited to introduce DBRX, an open, general-purpose LLM created by Databricks. Across a range of standard benchmarks, DBRX sets a new state-of-the-art for established open LLMs. Moreover, it provides the open community and enterprises building their own LLMs with capabilities that were previously limited to closed model APIs; according to our measurements, it surpasses GPT-3.5, and it is competitive with Gemini 1.0 Pro. It is an especially capable code model, surpassing speciali...| Databricks
New text-to-image diffusion model enables organizations to generate high-fidelity, trusted images| Databricks
Learn how Databricks combines rules-based and machine learning models to combat financial fraud with collaborative tools and SQL functionalities.| Databricks
Introducing DBRX: Databricks' new open-source, customisable LLM standard for enhanced performance and efficiency in AI workflows.| Databricks
The combined companies plan to make generative AI accessible to any size organization, enabling them to build, own and secure generative AI models with their data.| Databricks
Retrieval augmented generation or RAG is an architectural approach that pulls your data as context for large language models (LLMs) to improve relevancy.| Databricks
Databricks SQL enables high-performance analytics with SQL on large datasets. Simplify data analysis and unlock insights with an intuitive, scalable platform.| Databricks
Introducing 'Hello Dolly,' a project to democratize AI by integrating ChatGPT and open models, making advanced AI accessible to everyone.| Databricks
Introducing Dolly, the first open-source, commercially viable instruction-tuned LLM, enabling accessible and cost-effective AI solutions.| Databricks
Training large language models (LLMs) costs less than you think. Using the MosaicML platform, we show how fast, cheap, and easy it is to train these models at scale (1B -> 70B parameters). With new training recipes and infrastructure designed for large workloads, we enable you to train LLMs while maintaining total customizability over your model and dataset.| Databricks
Learn more about the open source file format Apache Parquet, its applications in data science, and its advantages over CSV and TSV formats.| Databricks
With a Data Intelligence Engine that understands your data’s uniqueness, the Databricks Platform allows you to infuse AI into every facet of your business.| Databricks
Photon is the next generation engine on the Databricks Lakehouse Platform that provides extremely fast query performance at low cost. Learn more here.| Databricks
Boost team productivity with Databricks Collaborative Notebooks, enabling real-time collaboration and streamlined data science workflows.| Databricks
We benchmarked LLM training on a multi-node AMD MI250 cluster and found near-linear scaling on up to 128 GPUs, demonstrating a compelling option for multi-node LLM training.| Databricks
Lakehouse architecture combines the best of data lakes and data warehouses to help you reduce costs and deliver any AI use case.| Databricks
A medallion architecture is a data design pattern used to logically organize data in a lakehouse, with the goal of improving the structure and quality of data.| Databricks
Understand MLOps, the practice of deploying and maintaining machine learning models in production reliably and efficiently, with Databricks.| Databricks
Understand the concept of a data mart, a subset of a data warehouse focused on specific business lines or teams.| Databricks
Today, we’re excited to share that we’ve completed our acquisition of MosaicML, a leading platform for creating and customizing generative AI models for your enterprise. Since the founding of Databricks, our mission has been to democratize data and AI for every enterprise. Generative AI will power the next wave of enterprise data applications, and together with MosaicML, we plan to provide the best-in-class experience for training, customizing, and deploying generative AI applications.| Databricks
Learn how orchestration is the coordination and management of multiple computer systems, applications and/or services, stringing together multiple tasks.| Databricks
Learn more about the new data management paradigm data lakehouses -- its evolution, adoption, common use cases, and its advantages over previous systems and technologies.| Databricks