Today, June 11,Databricks, a data and AI company, presented several new features at the 20225 edition of the Data + AI Summit, the company's event held in San Francisco (USA). The companyannounced an investment of US$ 100 millionin global education in data and AI, with the goal of eliminating the talent gap across the sector and preparing the next generation of engineers, analysts, and data scientists.
One of the initiatives included in this investment is the launch of the free edition of your Databricks platform, which offers everyone — students, amateurs, and future professionals in the field — free access to all the resources of theDatabricks Data Intelligence PlatformCheck out other highlights below:
Main news:
- Databricks free edition: This is a new offer that provides everyone — students, amateurs, and future professionals in the field — free access to all the resources of theDatabricks Data Intelligence Platformand a comprehensive set of training to accelerate your knowledge of data and AI technologies.Read more here.
- Databricks One: a new experience to bring data and AI to all corners and offers corporate users simple and secure access to the data and AI resources provided by theData Intelligence PlatformFor the first time, corporate users will be able to interact with AI/BI dashboards, ask questions about data in natural language through AI/BI Genie, powered by deep research, quickly find relevant dashboards, and use custom Databricks applications — all in a sleek, no-code environment designed for your needs.Read more here.
- Agent Bricks:It is a new automated way to create high-performance AI agents, customized for your business. Just provide a detailed description of the agent's task and connect your company's data — the Agent Bricks takes care of the rest.The solution is optimized for common industry use cases, including structured information extraction, reliable knowledge assistance, customized text transformation, and orchestrated multi-agent systems.Read more here.
- Lakeflow DesignerThis new no-code ETL feature allows non-technical users to create production data pipelines using a drag-and-drop visual interface and a natural language GenAI assistant. The Lakeflow Designer has supportfrom LakeflowThe unified solution for data engineers to create reliable data pipelines more quickly, utilizing all critical business data, is now available to everyone.Read more here.
- Lakebasethe first fully managed Postgres database, built for AI, Databricks' Lakebase adds an operational database layer to theData Intelligence Platformof the company. Now, developers and companies can create data applications and AI agents more quickly and easily on a single multi-cloud platform. Lakebase is now available in Public Preview.Read more here.
- Unity Catalog updatesUnity Catalog adds full support for Apache Iceberg™ tables, including native support for Apache Iceberg's REST Catalog APIs. Now, Unity Catalog is the only catalog that allows external engines to read and write, with fine-grained governance, Iceberg-managed tables, and optimized for performance, eliminating dependency and enabling seamless interoperability.Databricks is also introducing two new enhancements that extend Unity Catalog to enterprise users.
- Declarative Pipelines Donation for the Apache Spark™ open source project:Databricks is releasing the open-source code of the company's main declarative ETL framework, Apache Spark™ Declarative Pipelines. This initiative takes place after Apache Spark reached two billion downloads and the recent release of theApache Spark 4.0These releases are based on Databricks' long-standing commitment to open ecosystems, ensuring that users have the flexibility and control they need without vendor lock-in. The Spark Declarative Pipelines addresses one of the biggest challenges in data engineering, making it easier to build and operate reliable and scalable end-to-end data pipelines.
