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DistributedLog

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39
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IronMQ

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DistributedLog vs IronMQ: What are the differences?

What is DistributedLog? High-performance replicated log service, by Twitter. DistributedLog (DL) is a high-performance, replicated log service, offering durability, replication and strong consistency as essentials for building reliable distributed systems.

What is IronMQ? Message Queue for any deployment. An easy-to-use highly available message queuing service. Built for distributed cloud applications with critical messaging needs. Provides on-demand message queuing with advanced features and cloud-optimized performance.

DistributedLog and IronMQ can be categorized as "Message Queue" tools.

Some of the features offered by DistributedLog are:

  • High Performance
  • Durable and Consistent
  • Efficient Fan-in and Fan-out

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

  • Instant High Availability- Runs on top cloud infrastructures and uses multiple high-availability data centers. Uses reliable datastores for message durability and persistence.
  • Easy to Use- IronMQ is super easy to use. Simply connect directly to the API endpoints and you're ready to create and use queues. There are also client libraries available in any language you want – Ruby, Python, PHP, Java, .NET, Go, Node.JS, and more
  • Scalable / High Performance- Built using high-performance languages designed for concurrency and runs on industrial-strength clouds. Push messages and stream data at will without worrying about memory limits or adding more servers.

DistributedLog is an open source tool with 2.25K GitHub stars and 283 GitHub forks. Here's a link to DistributedLog's open source repository on GitHub.

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Pros of DistributedLog
Pros of IronMQ
    Be the first to leave a pro
    • 12
      Great Support
    • 8
      Heroku Add-on
    • 3
      Push support
    • 3
      Delayed delivery upto 7 days
    • 2
      Super fast
    • 2
      Language agnostic
    • 2
      Good analytics/monitoring
    • 2
      Ease of configuration
    • 2
      GDPR Compliant

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    Cons of DistributedLog
    Cons of IronMQ
      Be the first to leave a con
      • 1
        Can't use rabbitmqadmin

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      What is DistributedLog?

      DistributedLog (DL) is a high-performance, replicated log service, offering durability, replication and strong consistency as essentials for building reliable distributed systems.

      What is IronMQ?

      An easy-to-use highly available message queuing service. Built for distributed cloud applications with critical messaging needs. Provides on-demand message queuing with advanced features and cloud-optimized performance.

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

      What companies use DistributedLog?
      What companies use IronMQ?
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      What tools integrate with DistributedLog?
      What tools integrate with IronMQ?
        No integrations found

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        What are some alternatives to DistributedLog and IronMQ?
        Kafka
        Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
        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.
        See all alternatives