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Amundsen

A metadata driven application for improving the productivity of data analysts, data scientists and engineers
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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.
Amundsen is a tool in the Big Data Tools category of a tech stack.
Amundsen is an open source tool with 928 GitHub stars and 168 GitHub forks. Here’s a link to Amundsen's open source repository on GitHub

Amundsen Integrations

Google BigQuery, Snowflake, Superset, Apache Hive, and AWS Glue are some of the popular tools that integrate with Amundsen. Here's a list of all 5 tools that integrate with Amundsen.
Pros of Amundsen
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Amundsen's Features

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

Amundsen Alternatives & Comparisons

What are some alternatives to Amundsen?
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.
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.
See all alternatives