Reynold Xin

Jun 13, 2024 | databricks.com | Matei Zaharia |Ali Ghodsi |Reynold Xin |Arsalan Tavakoli-Shiraji

We are excited to announce that we are open sourcing Unity Catalog, the industry’s first open source catalog for data and AI governance across clouds, data formats, and data platforms. Here are the most important pillars of the Unity Catalog vision:Open source API and implementation: It is built on OpenAPI spec and an open source server implementation under Apache 2.0 license. It is also compatible with Apache Hive's metastore API and Apache Iceberg's REST catalog API.

Jun 4, 2024 | databricks.com | Ali Ghodsi |Reynold Xin |Arsalan Tavakoli-Shiraji |Adam Conway

We are excited to announce that we have agreed to acquire Tabular, Inc, a data management company founded by Ryan Blue, Daniel Weeks, and Jason Reid. This acquisition brings the original creators of Apache Iceberg™ and those of Linux Foundation Delta Lake, the two leading open source lakehouse formats, together. As one, we are going to lead the way with data compatibility so that you are no longer limited by which lakehouse format your data is in.

Nov 27, 2023 | databricks.com | Naveen Rao |Matei Zaharia |Patrick Wendell |Reynold Xin

Large language models (LLMs) have set the corporate world ablaze, and everyone wants to take advantage. In fact, 47% of enterprises expect to increase their AI budgets this year by more than 25%, according toa recent survey of technology leaders from Databricks and MIT Technology Review. Despite this momentum, many companies are still unsure exactly how LLMs, AI, and machine learning can be used within their own organization.

Nov 15, 2023 | databricks.com | Matei Zaharia |Patrick Wendell |Reynold Xin |Ali Ghodsi

The observation that "software is eating the world" has shaped the modern tech industry. Today, software is ubiquitous in our lives, from the watches we wear, to our houses, cars, factories and farms. At Databricks, we believe that soon, AI will eat all software. That is, the software built over the past decades will be intelligent, leveraging data, making it much smarter. The implications are vast and varied, impacting everything from customer support to healthcare and education.

Aug 24, 2023 | databricks.com | Matei Zaharia |Patrick Wendell |Reynold Xin

To build customer support bots, internal knowledge graphs, or Q&A systems, customers often use Retrieval Augmented Generation (RAG) applications which leverage pre-trained models together with their proprietary data. However, the lack of guardrails for secure credential management and abuse prevention prohibits customers from democratizing access and development of these applications.