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DistributedLog

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ejabberd

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DistributedLog vs ejabberd: What are the differences?

Developers describe DistributedLog as "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. On the other hand, ejabberd is detailed as "A scalable and robust instant messaging server". It is a distributed, fault-tolerant technology that allows the creation of large-scale instant messaging applications. The server can reliably support thousands of simultaneous users on a single node and has been designed to provide exceptional standards of fault tolerance.

DistributedLog and ejabberd belong to "Message Queue" category of the tech stack.

Some of the features offered by DistributedLog are:

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

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

  • Cross-platform
  • Administrator-friendly
  • Internationalized

DistributedLog and ejabberd are both open source tools. It seems that ejabberd with 4.18K GitHub stars and 1.25K forks on GitHub has more adoption than DistributedLog with 2.25K GitHub stars and 283 GitHub forks.

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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 ejabberd?

It is a distributed, fault-tolerant technology that allows the creation of large-scale instant messaging applications. The server can reliably support thousands of simultaneous users on a single node and has been designed to provide exceptional standards of fault tolerance.

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

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    What are some alternatives to DistributedLog and ejabberd?
    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