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Amundsen

16
36
+ 1
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CDAP

22
91
+ 1
0
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CDAP vs Amundsen: 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, Amundsen is detailed as "A metadata driven application for improving the productivity of data analysts, data scientists and engineers". It is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.

CDAP and Amundsen 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, Amundsen provides the following key features:

  • Datasets (Tables) schema and usage frequency/popularity
  • Users bookmark, owner, frequent user
  • Dashboard popularity, lineage to datasets

CDAP and Amundsen are both open source tools. It seems that Amundsen with 889 GitHub stars and 163 forks on GitHub has more adoption than CDAP with 430 GitHub stars and 233 GitHub forks.

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What is Amundsen?

It is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.

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.

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What are some alternatives to Amundsen and CDAP?
Atlas
Atlas is one foundation to manage and provide visibility to your servers, containers, VMs, configuration management, service discovery, and additional operations services.
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.
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.
See all alternatives