CaskWhat 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 Databases category of a tech stack.
Key Features
Streams for data ingestionReusable libraries for common Big Data access patternsData available to multiple applications and different paradigmsFramework level guaranteesFull development lifecycle and production deploymentStandardization of applications across programming paradigms
CDAP Pros & Cons
Pros of CDAP
No pros listed yet.
Cons of CDAP
No cons listed yet.
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.
Splunk
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
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.
