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Mule

Revolutionizing the way the world connects data and applications
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What is Mule?

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.
Mule is a tool in the Big Data Tools category of a tech stack.
Mule is an open source tool with GitHub stars and GitHub forks. Here’s a link to Mule's open source repository on GitHub

Who uses Mule?

Companies

Developers
14 developers on StackShare have stated that they use Mule.

Mule Integrations

Zapier, CloudApp, API Umbrella, Nextcloud , and OpenAPI are some of the popular tools that integrate with Mule. Here's a list of all 5 tools that integrate with Mule.

Why developers like Mule?

Here’s a list of reasons why companies and developers use Mule
Top Reasons
Be the first to leave a pro

Mule's Features

  • Connects data
  • Connects applications
  • Integration platform
  • Fast

Mule Alternatives & Comparisons

What are some alternatives to Mule?
Apache Camel
An open source Java framework that focuses on making integration easier and more accessible to developers.
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.
See all alternatives

Mule's Followers
21 developers follow Mule to keep up with related blogs and decisions.
shannon wendelken
Evan Wright
Wahid Alimi
Ryan Ruckley
ANIL KUMAR
mkawadri
Vellarasan Dhanapathy
Tuğşad Karaduman
akawaguc
ShahzadLari