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Mule

100
106
+ 1
7
Splunk

471
754
+ 1
12
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Mule vs Splunk: 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; Splunk: Search, monitor, analyze and visualize machine data. It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.

Mule and Splunk can be categorized as "Big Data" tools.

Some of the features offered by Mule are:

  • Connects data
  • Connects applications
  • Integration platform

On the other hand, Splunk provides the following key features:

  • Predict and prevent problems with one unified monitoring experience
  • Streamline your entire security stack with Splunk as the nerve center
  • Detect, investigate and diagnose problems easily with end-to-end observability
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Pros of Mule
Pros of Splunk
  • 3
    Open Source
  • 2
    Integration
  • 2
    Microservices
  • 2
    API for searching logs, running reports
  • 2
    Query engine supports joining, aggregation, stats, etc
  • 1
    Ability to style search results into reports
  • 1
    Query any log as key-value pairs
  • 1
    Splunk language supports string, date manip, math, etc
  • 1
    Granular scheduling and time window support
  • 1
    Alert system based on custom query results
  • 1
    Custom log parsing as well as automatic parsing
  • 1
    Dashboarding on any log contents
  • 1
    Rich GUI for searching live logs

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Cons of Mule
Cons of Splunk
    Be the first to leave a con
    • 1
      Splunk query language rich so lots to learn

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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.

    What is Splunk?

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

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    What companies use Mule?
    What companies use Splunk?
    See which teams inside your own company are using Mule or Splunk.
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    What tools integrate with Mule?
    What tools integrate with Splunk?

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    What are some alternatives to Mule and Splunk?
    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.
    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.
    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 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