Databricks
Databricks is a unified data analytics platform built on open-source technologies like Apache Spark. It empowers data teams with a collaborative workspace for data engineering, data science, and machine learning, accelerating innovation from data to AI.
Databricks products (7)
Databricks Lakehouse Platform
Databricks Lakehouse Platform unifies data warehousing and AI, offering a single platform for all data needs. With a focus on data engineering, data science, and machine learning, Databricks provides tools for building a
Data Lake / Lakehouse · DataOps & Orchestration · Data Warehouse (DWH)
Databricks Runtime
Optimized runtime environment for Apache Spark, providing enhanced performance and features for data engineering and ML.
Databricks SQL
SQL analytics solution on the Lakehouse Platform, offering high performance for BI and SQL workloads.
Delta Lake
Open-source storage layer that brings ACID transactions to data lakes, improving reliability and performance.
MLflow
Databricks provides a unified data analytics platform powered by Apache Spark, enabling data scientists and engineers to build and deploy AI applications. Databricks offers a collaborative environment for data exploratio
DevOps & Platform Engineering · MLOps / ML Platform · Model Serving & Inference
MosaicML Training Platform
MosaicML helps organizations train large language models (LLMs) efficiently and cost-effectively. Their training platform focuses on optimizing hardware utilization and reducing training costs. Integrating with Databrick
Unity Catalog
Unified governance solution for data and AI assets across clouds and workspaces, providing fine-grained access control.