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Benthos

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7
+ 1
0
Kafka

23.5K
22K
+ 1
607
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Pros of Benthos
Pros of Kafka
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    • 126
      High-throughput
    • 119
      Distributed
    • 92
      Scalable
    • 86
      High-Performance
    • 66
      Durable
    • 38
      Publish-Subscribe
    • 19
      Simple-to-use
    • 18
      Open source
    • 12
      Written in Scala and java. Runs on JVM
    • 9
      Message broker + Streaming system
    • 4
      KSQL
    • 4
      Avro schema integration
    • 4
      Robust
    • 3
      Suport Multiple clients
    • 2
      Extremely good parallelism constructs
    • 2
      Partioned, replayable log
    • 1
      Simple publisher / multi-subscriber model
    • 1
      Fun
    • 1
      Flexible

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    Cons of Benthos
    Cons of Kafka
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      • 32
        Non-Java clients are second-class citizens
      • 29
        Needs Zookeeper
      • 9
        Operational difficulties
      • 5
        Terrible Packaging

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      What is Benthos?

      It is a high performance and resilient stream processor, able to connect various sources and sinks in a range of brokering patterns and perform hydration, enrichments, transformations and filters on payloads.

      What is Kafka?

      Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

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      What companies use Benthos?
      What companies use Kafka?
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        What tools integrate with Benthos?
        What tools integrate with Kafka?

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        What are some alternatives to Benthos and Kafka?
        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