CDAP logo

CDAP

Open source virtualization platform for Hadoop data and apps
9
28
+ 1
0

What is CDAP?

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.
CDAP is a tool in the Big Data Tools category of a tech stack.
CDAP is an open source tool with 450 GitHub stars and 235 GitHub forks. Here鈥檚 a link to CDAP's open source repository on GitHub

Who uses CDAP?

Companies

Developers
7 developers on StackShare have stated that they use CDAP.

CDAP Integrations

CDAP's Features

  • Streams for data ingestion
  • Reusable libraries for common Big Data access patterns
  • Data available to multiple applications and different paradigms
  • Framework level guarantees
  • Full development lifecycle and production deployment
  • Standardization of applications across programming paradigms

CDAP Alternatives & Comparisons

What are some alternatives to CDAP?
Airflow
Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.
Apache Spark
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
Akutan
A distributed knowledge graph store. Knowledge graphs are suitable for modeling data that is highly interconnected by many types of relationships, like encyclopedic information about the world.
Apache NiFi
An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.
StreamSets
The industry's first data operations platform for full life-cycle management of data in motion.
See all alternatives

CDAP's Followers
28 developers follow CDAP to keep up with related blogs and decisions.
Gossann
pankaj joshi
shobhan majumdar
Maxim Zverev
Jack Yang
KiranVasadi Architect Cloud Bigdata
Andrei Munteanu
Anil Kumar
Marco Llapapasca Montes
Samuel Kruklis