CDAP vs Impala: 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, Impala is detailed as "Real-time Query for Hadoop". Impala is a modern, open source, MPP SQL query engine for Apache Hadoop. Impala is shipped by Cloudera, MapR, and Amazon. With Impala, you can query data, whether stored in HDFS or Apache HBase – including SELECT, JOIN, and aggregate functions – in real time.
CDAP and Impala 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, Impala provides the following key features:
- Do BI-style Queries on Hadoop
- Unify Your Infrastructure
- Implement Quickly
CDAP and Impala are both open source tools. Impala with 2.18K GitHub stars and 824 forks on GitHub appears to be more popular than CDAP with 346 GitHub stars and 178 GitHub forks.