Mule runtime engine vs Amundsen

Overview

Mule runtime engine

Stacks127

Followers129

Votes8

Amundsen

Stacks17

Followers42

Votes0

Mule vs Amundsen: What are the differences?

Mule: Revolutionizing the way the world connects data and applications. Its mission is to connect the world’s applications, data and devices. It makes connecting anything easy with Anypoint Platform™, the only complete integration platform for SaaS, SOA and APIs. Thousands of organizations in 60 countries, from emerging brands to Global 500 enterprises, use it to innovate faster and gain competitive advantage; Amundsen: 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.

Mule and Amundsen belong to "Big Data Tools" category of the tech stack.

Some of the features offered by Mule are:

Connects data
Connects applications
Integration platform

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

Amundsen is an open source tool with 889 GitHub stars and 163 GitHub forks. Here's a link to Amundsen's open source repository on GitHub.

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Detailed Comparison

Mule runtime engine	Amundsen
Its mission is to connect the world’s applications, data and devices. It makes connecting anything easy with Anypoint Platform™, the only complete integration platform for SaaS, SOA and APIs. Thousands of organizations in 60 countries, from emerging brands to Global 500 enterprises, use it to innovate faster and gain competitive advantage.	It is a metadata driven application for improving the productivity of data analysts, data scientists and engineers when interacting with data.
Connects data;Connects applications;Integration platform;Fast	Datasets (Tables) schema and usage frequency/popularity; Users bookmark, owner, frequent user; Dashboard popularity, lineage to datasets
Statistics
Stacks 127	Stacks 17
Followers 129	Followers 42
Votes 8	Votes 0
Pros & Cons
Pros 4 Open Source 2 Microservices 2 Integration	No community feedback yet
Integrations
CloudApp API Umbrella Zapier	Google BigQuery Snowflake AWS Glue Superset Apache Hive

What are some alternatives to Mule runtime engine, 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.

Presto

Distributed SQL Query Engine for Big 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.

lakeFS

It is an open-source data version control system for data lakes. It provides a “Git for data” platform enabling you to implement best practices from software engineering on your data lake, including branching and merging, CI/CD, and production-like dev/test environments.

Druid

Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.

Apache Kylin

Apache Kylin™ is an open source Distributed Analytics Engine designed to provide SQL interface and multi-dimensional analysis (OLAP) on Hadoop/Spark supporting extremely large datasets, originally contributed from eBay Inc.

Splunk

It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.

Apache Impala

Impala is a modern, open source, MPP SQL query engine for Apache Hadoop. Impala is shipped by Cloudera, MapR, and Amazon. With Impala, you can query data, whether stored in HDFS or Apache HBase – including SELECT, JOIN, and aggregate functions – in real time.