Databricks

Intelligent data processing for batch and real time with a single solution for all ETL use cases

Maintain quality control across the entire AI workflow

The first open approach to secure data sharing means you can easily share live data sets, models, dashboards and notebooks

Achieve 12x better price/performance for SQL and BI workloads by moving from legacy cloud data warehouses to a lakehouse

Serverless Postgres for applications that scale

Generative AI Fundamentals training with 4 short videos for LLMs and organizational use

Unify governance for data, analytics and AI with a single model of data governance for all structured and unstructured data

Maintain data lineage across the entire AI workflow

Automatic reliability and optimization at scale with minimal manual intervention

Intelligent selection of compute type based on workload requirements

Simplified management with serverless infrastructure for data and AI workloads

Automatic autoscaling based on specific workload requirements

Open formats and APIs to avoid lock-in

Monetize sharing with the Databricks Marketplace

AI-powered monitoring and observability for data and AI workloads

Monitor data pipelines and ETL processes end-to-end

Manage pipelines to business requirements with intelligent optimization to deadlines and budget

Optimized query execution for improved performance on AI workloads

Automatic remediation of errors in data pipelines

Maintain data privacy across the entire AI workflow

Single permission model for data and AI governance

Simple workflow authoring for batch and streaming ETL processes