CDAP vs Apache Flink: What are the differences?
CDAP: 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; Apache Flink: Fast and reliable large-scale data processing engine. Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.
CDAP and Apache Flink can be categorized 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, Apache Flink provides the following key features:
- Hybrid batch/streaming runtime that supports batch processing and data streaming programs.
- Custom memory management to guarantee efficient, adaptive, and highly robust switching between in-memory and data processing out-of-core algorithms.
- Flexible and expressive windowing semantics for data stream programs
CDAP and Apache Flink are both open source tools. It seems that Apache Flink with 9.35K GitHub stars and 5K forks on GitHub has more adoption than CDAP with 346 GitHub stars and 178 GitHub forks.