Who Are Databricks’ Competitors?
Databricks operates in the cloud data and AI space, competing with several data warehousing, analytics, and big data processing platforms. Some of its primary competitors include:
Competitor | Primary Strengths |
---|---|
Snowflake | Cloud-based data warehousing, SQL analytics |
Google BigQuery | Serverless data analytics, machine learning integrations |
AWS Redshift | Scalable data warehousing with deep AWS integration |
Microsoft Synapse Analytics | Enterprise analytics with strong Azure integration |
Apache Spark (Self-Hosted) | Open-source alternative for big data processing |
PostgreSQL | Open-source relational database with strong analytics capabilities |
Are Databricks and Snowflake Competitors?
Yes, Databricks and Snowflake are direct competitors, although they serve slightly different use cases:
- Databricks: Stronger in data engineering, machine learning, and big data processing, leveraging Apache Spark.
- Snowflake: Primarily focused on cloud data warehousing and SQL-based analytics.
However, both platforms are increasingly overlapping in capabilities as Databricks expands its Delta Lake and SQL capabilities, and Snowflake enhances its machine learning and unstructured data support.
How Does Databricks’ Valuation Compare to Its Competitors?
As of recent funding rounds:
Company | Latest Valuation (Approx.) | Funding Stage |
---|---|---|
Databricks | ~$62 billion (2024) | Series J |
Snowflake | ~$60 billion | Public |
Google BigQuery | Part of Google Cloud (~$225 billion business) | Public |
AWS Redshift | Part of AWS (~$1.2 trillion Amazon valuation) | Public |
Databricks has a high valuation due to its AI and machine learning positioning, but Snowflake has retained a higher public market valuation due to its strong adoption in enterprise data warehousing.
How Does Databricks’ Revenue Growth Compare to Its Competitors?
Databricks has experienced rapid revenue growth, driven by its AI and machine learning features.
Company | Estimated Annual Revenue Growth |
---|---|
Databricks | ~60% YoY (Q3 2024) |
Snowflake | ~29% YoY (Fiscal Q3 2025) |
Google Cloud (BigQuery) | ~30% YoY (Q4 2024 ) |
AWS (Redshift included) | ~19% YoY (Q4 2024) |
Sources: Company statements
Databricks’ revenue growth surpasses Snowflake’s, largely due to expanding AI and machine learning capabilities. However, Snowflake has more established enterprise adoption, particularly for SQL-based analytics.
Using Databricks with Evidence
If you’re working with Databricks, Evidence can help you create interactive reports and dashboards directly from your data. With Evidence, you can:
- Integrate Databricks SQL and Lakehouse data seamlessly.
- Automate data reporting and analytics workflows.
- Collaborate with your team using a version-controlled reporting framework.
Learn more about using Databricks and Evidence by visiting the Evidence documentation.