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Hutch

3
9
+ 1
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NSQ

143
356
+ 1
148
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Hutch vs NSQ: What are the differences?

Introduction:

Hutch and NSQ are both messaging platforms widely used for distributed systems communication. While they serve similar purposes, they have key differences that set them apart from each other.

1. Message Delivery Mechanism: Hutch utilizes a push-based message delivery mechanism, where messages are immediately pushed to the subscribers when they become available. On the other hand, NSQ employs a pull-based model, where subscribers actively pull messages from the queue when they are ready to process them.

2. Scalability: NSQ is designed with scalability in mind, offering features like horizontal scaling and distributed queues that make it suitable for handling large volumes of messages across multiple nodes. In contrast, Hutch is optimized for simpler architectures and may not scale as effectively in high-demand scenarios.

3. Ecosystem Integration: NSQ integrates seamlessly with various cloud services and containers, enabling easy deployment and management in cloud environments. Hutch, on the other hand, may require more manual configuration and setup when integrating with cloud-based ecosystems.

4. Fault Tolerance: NSQ provides built-in fault tolerance mechanisms such as message re-queuing and redundancy options to ensure message delivery reliability in case of failures. Hutch, while robust, may require additional customization and setup to achieve similar levels of fault tolerance.

5. Configuration Complexity: Hutch emphasizes simplicity and ease of use, offering straightforward configuration options that cater to smaller projects and teams. NSQ, in comparison, may have a steeper learning curve due to its extensive configuration settings and advanced features tailored for complex distributed systems.

6. Community Support: NSQ boasts a strong community of developers and contributors actively maintaining and improving the platform, providing regular updates, bug fixes, and support. Hutch, while supported by its developer team, may have a relatively smaller community presence and fewer resources available for troubleshooting and evolving the platform.

In Summary, Hutch and NSQ differ in message delivery mechanisms, scalability, ecosystem integration, fault tolerance, configuration complexity, and community support, offering distinct advantages and considerations for developers based on their specific requirements.

Advice on Hutch and NSQ
Pramod Nikam
Co Founder at Usability Designs · | 2 upvotes · 563K views
Needs advice
on
Apache ThriftApache ThriftKafkaKafka
and
NSQNSQ

I am looking into IoT World Solution where we have MQTT Broker. This MQTT Broker Sits in one of the Data Center. We are doing a lot of Alert and Alarm related processing on that Data, Currently, we are looking into Solution which can do distributed persistence of log/alert primarily on remote Disk.

Our primary need is to use lightweight where operational complexity and maintenance costs can be significantly reduced. We want to do it on-premise so we are not considering cloud solutions.

We looked into the following alternatives:

Apache Kafka - Great choice but operation and maintenance wise very complex. Rabbit MQ - High availability is the issue, Apache Pulsar - Operational Complexity. NATS - Absence of persistence. Akka Streams - Big learning curve and operational streams.

So we are looking into a lightweight library that can do distributed persistence preferably with publisher and subscriber model. Preferable on JVM stack.

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Replies (1)
Naresh Kancharla
Staff Engineer at Nutanix · | 4 upvotes · 560.5K views
Recommends
on
KafkaKafka

Kafka is best fit here. Below are the advantages with Kafka ACLs (Security), Schema (protobuf), Scale, Consumer driven and No single point of failure.

Operational complexity is manageable with open source monitoring tools.

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Pros of Hutch
Pros of NSQ
    Be the first to leave a pro
    • 29
      It's in golang
    • 20
      Distributed
    • 20
      Lightweight
    • 18
      Easy setup
    • 17
      High throughput
    • 11
      Publish-Subscribe
    • 8
      Scalable
    • 8
      Save data if no subscribers are found
    • 6
      Open source
    • 5
      Temporarily kept on disk
    • 2
      Simple-to use
    • 1
      Free
    • 1
      Topics and channels concept
    • 1
      Load balanced
    • 1
      Primarily in-memory

    Sign up to add or upvote prosMake informed product decisions

    Cons of Hutch
    Cons of NSQ
      Be the first to leave a con
      • 1
        Long term persistence
      • 1
        Get NSQ behavior out of Kafka but not inverse
      • 1
        HA

      Sign up to add or upvote consMake informed product decisions

      What is Hutch?

      Hutch is a Ruby library for enabling asynchronous inter-service communication in a service-oriented architecture, using RabbitMQ.

      What is NSQ?

      NSQ is a realtime distributed messaging platform designed to operate at scale, handling billions of messages per day. It promotes distributed and decentralized topologies without single points of failure, enabling fault tolerance and high availability coupled with a reliable message delivery guarantee. See features & guarantees.

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

      What companies use Hutch?
      What companies use NSQ?
      Manage your open source components, licenses, and vulnerabilities
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      What tools integrate with Hutch?
      What tools integrate with NSQ?
      What are some alternatives to Hutch and NSQ?
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      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.
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