Data is crucial for innovation, decision-making, & operational efficiency.
Data from World Economic Forum
Collaboration features and support for multiple cloud providers.
Data warehousing-as-a-service model for high performance and security. Built-in ELT capabilities and support for semi-structured data.
Databricks: Auto-scaling computes the environment for workload demands. Snowflake: Elastic data warehousing service with independent compute resources.
Databricks: Optimized for big data processing, and in-memory computing. Snowflake: Optimized for SQL and data analytics, separation of computing and storage.
Databricks Integrates with
Snowflake Cloud-native solution available on
Choose based on specific needs: real-time analytics, machine learning, cost optimization, and data processing.
Snowflake: Cloud-native data warehouse for high performance, scalability, security. Databricks: Unified analytics platform for data warehousing, data lakes, machine learning.