Why developers like CDAP

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 385 GitHub stars and 205 GitHub forks. Here’s a link to CDAP's open source repository on GitHub

Explore CDAP's Story

Who uses CDAP?

Companies

Cask

Ampool

Developers

My Stack

CDAP Integrations

Hadoop

Why developers like CDAP?

Here’s a list of reasons why companies and developers use CDAP

Top Reasons

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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?

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.

Amazon Athena

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.

Apache Flink

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.

Apache Hive

Hive facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage.

Presto

Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes.

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