Databricks vs. Apache Spark
Considering a switch from Databricks to the open-source Apache Spark? Here is a side-by-side comparison based on GitHub community data to help you decide. Databricks has 6 open-source alternatives in total in the Data Infrastructure category - Apache Spark is the most starred.
| Criteria | Databricks | Apache Spark |
|---|---|---|
| Pricing model | Paid / Monthly Fees | 100% Free / Self-Hosted |
| Data Control | Third-party Servers | Full Ownership & Privacy |
| License | Proprietary | Apache-2.0 |
| GitHub Stars | - | ⭐ 43,722 |
| Last commit | - | Unknown |
About Apache Spark
Apache Spark is an open-source unified analytics engine that enables real-time data processing, machine learning, and data storage across various clusters, offering a flexible, secure, and cost-effective alternative to proprietary platforms like Databricks. As a self-hosted solution, Spark empowers users to maintain control over their data while leveraging its vast ecosystem of contributors, libraries, and tools.
View Apache Spark on GitHub →Apache Spark isn't the only option - Databricks has 5 other open-source alternatives worth checking out.
See all alternatives to Databricks →