Databricks
@databricks
Databricks is the Data and AI company, helping organizations build and scale data and AI apps, analytics and agents.
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Using Apache Spark™ for large-scale data prep and Ray for task parallelism, teams trained and tuned 1,400+ forecasting models in under 30 minutes instead of nearly three hours — hitting ~95% CPU utilization. See the full benchmark and workflow: databricks.com/blog/superchar…
Databricks CEO @alighodsi shared that while the industry is fixated on superintelligence, building systems to outsmart the world's brightest minds isn't what companies actually need. Organizations want to build AI agents to support and automate everyday tasks – and we already…
With Databricks Free Edition, you can upload your first dataset and start working with it in just a few steps. This walkthrough shows how to create a volume, upload a CSV, and explore your data right inside a workspace. In his video, @Alex_TheAnalyst demonstrates how to connect…
Moody’s Risk Data Suite is now available on the Databricks Marketplace, giving financial institutions instant access to trusted Moody's Ratings as governed Delta tables. By joining RDS with internal exposures on the Databricks Platform, banks can modernize credit risk and…
Databricks. Genuinely one of the best places to learn how to use AI with data - for free! Using AI isn’t really optional for most professionals and there aren’t a lot of great platforms to learn it on. Databricks allows you to use AI with all of your data on Databricks Free…
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Genie and AI in Databricks
“There’s a lot of context in the data enterprises have. It’s proprietary and not available to LLMs. Providing that data as context to agents is going to be the big unlock.” Databricks co-founder and CEO @alighodsi explains how combining enterprise data with OpenAI’s models can…
We’re excited to share that @AnthropicAI's newest model, Claude Opus 4.5, is now supported in Databricks! Opus 4.5 sets a new standard across coding, agents, computer use, and office tasks. It outperforms both Sonnet 4.5 and Opus 4.1 while delivering Opus-level intelligence at…
Most teams can prototype an agent, but scaling one you can trust is the real challenge. The latest Agent Bricks updates focus on the pillars that make production possible: accuracy, governance, and openness. New capabilities now allow teams to: • Evaluate agent behavior with…
Databricks and @awscloud are working together to simplify infrastructure setup for customers. Automated configuration for classic workspace deployment is the first step. Teams can now create a fully configured environment in minutes, with built-in approvals, least-privilege…
Get to know Lakebase, a fully managed Postgres for data apps and agents. Take the product tour to see how Lakebase delivers a transactional database integrated into the Lakehouse and a fully managed, serverless Postgres experience: databricks.com/resources/demo…
Build secure, real-time pipelines for IoT, clickstream, and telemetry data without managing external infrastructure. Now in Public Preview: Zerobus Ingest — a managed service that streams event data directly into your lakehouse, no message bus required. - Simplified ingestion -…
We’re proud to share that Databricks has been named a Leader in the 2025 @Gartner_inc Magic Quadrant™ for Cloud Database Management Systems for the fifth year in a row! The Databricks Platform enables everyone in your organization to use data and AI. New innovations like Agent…
With continuous evaluation, AI agents evolve from static tools into learning systems that improve over time — bridging the gap between general AI capabilities and business-specific needs. That trust comes from evaluation systems that: - Benchmark real tasks - Ground outputs in…
The way we build and interact with data systems is changing fast. The rise of AI-driven workloads is blurring the line between human and machine developers, especially in how databases are created and managed. Already, AI agents using @neondatabase create databases four times…
🐍 Developers can now build custom Apache Spark™ connectors in pure Python with the Python Data Source API. Now GA for Apache Spark 4.0 on Databricks Runtime (DBR) 15.4 LTS and above. The API supports both batch and streaming workloads, integrates with Unity Catalog for…
High-concurrency, low-latency data warehousing is critical for real-time decisions. Get practical guidance on architecting a production-grade warehouse. Key considerations, implementation practices, and tuning techniques to help you balance speed, scale, and cost:…
Databricks. One of the best platforms for Analytics, Data, and AI. And in this weeks lesson we are learning how to use SQL and build Visualizations! We will use SQL to get the data we need, build Visualizations in a dashboard, and work with Filters! youtube.com/watch?v=3DZQop…
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Analyzing Data with SQL and Visualizations in Databricks
.@alighodsi and @sama on what organizations can do now to improve their AI outcomes: “Make your data secure, governed, and accessible so AI can actually use it.” Watch the full conversation to hear their perspectives on the Databricks and @OpenAI partnership, how AI agents will…
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