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Clicky vs Databricks: What are the differences?
Developers describe Clicky as "Real time web analytics". Clicky Web Analytics gives bloggers and smaller web sites a more personal understanding of their visitors. Clicky has various features that helps stand it apart from the competition specifically Spy and RSS feeds that allow web site owners to get live information about their visitors. On the other hand, Databricks is detailed as "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.
Clicky and Databricks belong to "General Analytics" category of the tech stack.
Some of the features offered by Clicky are:
- Free version available
- Detailed information about every person who visits your web site
- Highly customizable tracking
On the other hand, Databricks provides the following key features:
- Built on Apache Spark and optimized for performance
- Reliable and Performant Data Lakes
- Interactive Data Science and Collaboration
According to the StackShare community, Clicky has a broader approval, being mentioned in 195 company stacks & 36 developers stacks; compared to Databricks, which is listed in 7 company stacks and 4 developer stacks.
Pros of Clicky
- Easy setup10
- Tons of detail6
- Cheap5
- Many features5
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