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Databricks vs Ackee (Analytics): What are the differences?
Databricks: A unified analytics platform, powered by Apache Spark. Databricks Unified Analytics Platform, from the original creators of Apache Spark™, unifies data science and engineering across the Machine Learning lifecycle from data preparation to experimentation and deployment of ML applications; Ackee (Analytics): Self-hosted, Node.js based analytics tool for those who care about privacy. It is a lightweight, easy to install and has a good balance between analytics and privacy. It features an API and web interface and tracks only what's necessary.
Databricks and Ackee (Analytics) can be categorized as "General Analytics" tools.
Some of the features offered by Databricks are:
- Built on Apache Spark and optimized for performance
- Reliable and Performant Data Lakes
- Interactive Data Science and Collaboration
On the other hand, Ackee (Analytics) provides the following key features:
- Self-hosted
- Lightweight and easy to install
- Modern and fast architecture
Ackee (Analytics) is an open source tool with 903 GitHub stars and 35 GitHub forks. Here's a link to Ackee (Analytics)'s open source repository on GitHub.
Pros of Ackee (Analytics)
- Self-hosted1
- Minimal and focused interface1
- Alternative to Google Analytics1
- Free and open-source1
- Privacy focused1
Pros of Databricks
- Best Performances on large datasets1
- True lakehouse architecture1
- Scalability1
- Databricks doesn't get access to your data1
- Usage Based Billing1
- Security1
- Data stays in your cloud account1
- Multicloud1