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DoctorKafka

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17
+ 1
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NServiceBus

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+ 1
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DoctorKafka vs NServiceBus: 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, NServiceBus is detailed as "*Enterprise-grade scalability and reliability for your workflows and integrations *". Performance, scalability, pub/sub, reliable integration, workflow orchestration, and everything else you could possibly want in a service bus.

DoctorKafka and NServiceBus belong to "Message Queue" category of the tech stack.

DoctorKafka is an open source tool with 496 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 NServiceBus
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      Not as good as alternatives, good job security
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      Brings on-prem issues to the cloud

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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 NServiceBus?

    Performance, scalability, pub/sub, reliable integration, workflow orchestration, and everything else you could possibly want in a service bus.

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

    What companies use DoctorKafka?
    What companies use NServiceBus?
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      What tools integrate with DoctorKafka?
      What tools integrate with NServiceBus?
        No integrations found
        What are some alternatives to DoctorKafka and NServiceBus?
        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