What is Mule runtime engine?
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 runtime engine is a tool in the Big Data Tools category of a tech stack.
Mule runtime engine is an open source tool with GitHub stars and GitHub forks. Here’s a link to Mule runtime engine's open source repository on GitHub
Who uses Mule runtime engine?
Companies
5 companies reportedly use Mule runtime engine in their tech stacks, including AEM.Design, Redwoodcu.org, and Old Street Solutions.
Developers
109 developers on StackShare have stated that they use Mule runtime engine.
Mule runtime engine Integrations
Pros of Mule runtime engine
4
2
2
Mule runtime engine's Features
- Connects data
- Connects applications
- Integration platform
- Fast
Mule runtime engine Alternatives & Comparisons
What are some alternatives to Mule runtime engine?
Apache Camel
An open source Java framework that focuses on making integration easier and more accessible to developers.
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.