Overview
Databricks provides the Data Intelligence Platform built on lakehouse architecture, combining the best elements of data lakes and data warehouses. Built on open-source projects Apache Spark, Delta Lake, and MLflow, the platform unifies data, analytics, and AI while eliminating the silos that historically complicate data initiatives.
Key Capabilities
- Unified Architecture - One architecture for integration, storage, processing, governance, sharing, analytics, and AI - working with both structured and unstructured data
- Open Standards - Built on Apache Spark, Delta Lake, and MLflow, with Delta Sharing for securely sharing live data to any computing platform without replication or ETL
- Scalable Performance - Automatic optimization for performance and storage with world-record-setting performance for both data warehousing and AI use cases, including generative techniques like LLMs
- Data Governance - End-to-end view of data lineage and provenance across the entire platform
- Multi-Tool Support - One toolset for Python and SQL, notebooks and IDEs, batch and streaming, across all major cloud providers
- Data Sharing - Delta Sharing provides an open solution to securely share live data from lakehouse to any computing platform
Why TechPower + Databricks
TechPower helps enterprises implement the Databricks Data Intelligence Platform:
- Lakehouse Architecture - Design and deploy lakehouse architectures on AWS, Azure, or GCP with Delta Lake
- Data Migration - Migrate from legacy data warehouses and data lakes to the unified lakehouse architecture
- AI and ML - Build AI and ML workloads including generative AI with LLMs on the platform's scalable infrastructure
- Data Governance - Implement data lineage and provenance tracking across the platform
- Open Standards - Leverage open-source foundations to avoid vendor lock-in with Apache Spark, Delta Lake, and MLflow