Databricks vs. Snowflake – The big data platform comparison
More and more companies are faced with the question: Which data platform is the right one – Databricks or Snowflake? Both solutions are among the leading providers in the field of cloud data warehousing and data lakehouses, but their strengths lie in different areas.
Databricks: Data Lakehouse for Big Data & KI
Databricks is the platform for companies that need a great deal of flexibility when processing huge amounts of data and want to integrate machine learning and artificial intelligence into their processes.
- Originally developed from Apache Spark, built for huge amounts of data
- Powerful environment for data science, data engineering and AI projects
- Unity Catalog for comprehensive data governance across all data sources
- Particularly suitable for complex analyses, large amounts of structured and unstructured data, and real-time streaming
Snowflake: Cloud data warehouse for analysis and BI
Snowflake has established itself as a cloud data warehouse that stands out thanks to its ease of use, high performance and scalability – ideal for a quick and straightforward start.
- Clear cost models with a pay-per-use approach – only pay for what you actually use
- Zero-copy cloning for development and test environments at no additional cost
- SQL-based and therefore immediately usable for teams with a classic data warehouse background
- Ideal for companies looking for a quick start in cloud analytics without deep tech expertise
In our webinar ‘Databricks vs. Snowflake Battle,’ we compare the two platforms in a practical way:
✔ Overview of features
✔ Direct comparison of use cases
✔ Pros and cons for different business situations
✔ Price comparison and cost-effectiveness
Watch the video now and find out which data platform is the better choice for your business: