Software Alternatives & Reviews

Apache Flink VS MuleSoft Anypoint Platform

Compare Apache Flink VS MuleSoft Anypoint Platform and see what are their differences

Apache Flink logo Apache Flink

Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

MuleSoft Anypoint Platform logo MuleSoft Anypoint Platform

Anypoint Platform is a unified, highly productive, hybrid integration platform that creates an application network of apps, data and devices with API-led connectivity.
  • Apache Flink Landing page
    Landing page //
    2023-10-03
  • MuleSoft Anypoint Platform Landing page
    Landing page //
    2023-09-22

Apache Flink videos

GOTO 2019 • Introduction to Stateful Stream Processing with Apache Flink • Robert Metzger

More videos:

  • Tutorial - Apache Flink Tutorial | Flink vs Spark | Real Time Analytics Using Flink | Apache Flink Training
  • Tutorial - How to build a modern stream processor: The science behind Apache Flink - Stefan Richter

MuleSoft Anypoint Platform videos

Introduction to MuleSoft Anypoint Platform

Category Popularity

0-100% (relative to Apache Flink and MuleSoft Anypoint Platform)
Big Data
100 100%
0% 0
API Tools
0 0%
100% 100
Stream Processing
100 100%
0% 0
Web Service Automation
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Flink and MuleSoft Anypoint Platform

Apache Flink Reviews

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MuleSoft Anypoint Platform Reviews

Top 9 MuleSoft Alternatives & Competitors in 2024
Connectivity Simplified: Its ability to simplify connectivity is at the heart of the MuleSoft Anypoint Platform. Anypoint Platform provides a unified integration framework, allowing for effortless connection and communication between various endpoints. This means quicker access to critical data, reduced silos, and a more agile business environment.
Source: www.zluri.com
6 Best Mulesoft Alternatives & Competitors For Data Integration [New]
MuleSoft Anypoint Platform combines automation, integration, and API management in a single platform. This iPaaS solution offers out-of-the-box connectors, pre-built integration templates, and a drag-and-drop design environment. Utilizing an API-led approach to connectivity, it integrates different systems, applications, data warehouses, etc., both on-premise and in the...
Source: www.dckap.com

Social recommendations and mentions

Based on our record, Apache Flink seems to be more popular. It has been mentiond 27 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Apache Flink mentions (27)

  • Top 10 Common Data Engineers and Scientists Pain Points in 2024
    Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / 18 days ago
  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 3 months ago
  • Go concurrency simplified. Part 4: Post office as a data pipeline
    Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 4 months ago
  • Five Apache projects you probably didn't know about
    Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 4 months ago
  • Getting Started with Flink SQL, Apache Iceberg and DynamoDB Catalog
    Due to the technology transformation we want to do recently, we started to investigate Apache Iceberg. In addition, the data processing engine we use in house is Apache Flink, so it's only fair to look for an experimental environment that integrates Flink and Iceberg. - Source: dev.to / 4 months ago
View more

MuleSoft Anypoint Platform mentions (0)

We have not tracked any mentions of MuleSoft Anypoint Platform yet. Tracking of MuleSoft Anypoint Platform recommendations started around Mar 2021.

What are some alternatives?

When comparing Apache Flink and MuleSoft Anypoint Platform, you can also consider the following products

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Boomi - The #1 Integration Cloud - Build Integrations anytime, anywhere with no coding required using Dell Boomi's industry leading iPaaS platform.

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

Postman - The Collaboration Platform for API Development

Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.

Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.