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DoctorKafka

3
17
+ 1
0
MSMQ

32
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+ 1
3
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DoctorKafka vs MSMQ: What are the differences?

Developers describe DoctorKafka as "A service for Kafka cluster auto healing and workload balancing". DoctorKafka can automatically detect broker failure and reassign the workload on the failed nodes to other nodes. DoctorKafka can also perform load balancing based on topic partitions's network usage, and makes sure that broker network usage does not exceed the defined settings. On the other hand, MSMQ is detailed as "A technology for asynchronous messaging". This technology enables applications running at different times to communicate across heterogeneous networks and systems that may be temporarily offline. Applications send messages to queues and read messages from queues.

DoctorKafka and MSMQ can be categorized as "Message Queue" tools.

DoctorKafka is an open source tool with 487 GitHub stars and 68 GitHub forks. Here's a link to DoctorKafka's open source repository on GitHub.

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Pros of DoctorKafka
Pros of MSMQ
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    • 2
      Easy to learn
    • 1
      Cloud not needed

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    Cons of DoctorKafka
    Cons of MSMQ
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      • 1
        Windows dependency

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      What is DoctorKafka?

      DoctorKafka can automatically detect broker failure and reassign the workload on the failed nodes to other nodes. DoctorKafka can also perform load balancing based on topic partitions's network usage, and makes sure that broker network usage does not exceed the defined settings.

      What is MSMQ?

      This technology enables applications running at different times to communicate across heterogeneous networks and systems that may be temporarily offline. Applications send messages to queues and read messages from queues.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use DoctorKafka?
      What companies use MSMQ?
        No companies found
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        What tools integrate with DoctorKafka?
        What tools integrate with MSMQ?
        What are some alternatives to DoctorKafka and MSMQ?
        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.
        Amazon S3
        Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
        See all alternatives