CDAP vs Delta Lake: What are the differences?
Developers describe CDAP as "Open source virtualization platform for Hadoop data and apps". Cask Data Application Platform (CDAP) is an open source application development platform for the Hadoop ecosystem that provides developers with data and application virtualization to accelerate application development, address a broader range of real-time and batch use cases, and deploy applications into production while satisfying enterprise requirements. On the other hand, Delta Lake is detailed as "Reliable Data Lakes at Scale". An open-source storage layer that brings ACID transactions to Apache Spark™ and big data workloads.
CDAP and Delta Lake can be primarily classified as "Big Data" tools.
Some of the features offered by CDAP are:
- Streams for data ingestion
- Reusable libraries for common Big Data access patterns
- Data available to multiple applications and different paradigms
On the other hand, Delta Lake provides the following key features:
- ACID Transactions
- Scalable Metadata Handling
- Time Travel (data versioning)
CDAP and Delta Lake are both open source tools. It seems that Delta Lake with 1.26K GitHub stars and 210 forks on GitHub has more adoption than CDAP with 346 GitHub stars and 178 GitHub forks.