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DistributedLog

21
39
+ 1
0
Sandglass

1
6
+ 1
0
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DistributedLog vs Sandglass: 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, Sandglass is detailed as "Distributed, scalable, persistent time-sorted message queue". A distributed, horizontally scalable, persistent, time ordered message queue. Developed to support asynchronous tasks and message scheduling which makes it suitable for usage as a task queue.

DistributedLog and Sandglass 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, Sandglass provides the following key features:

  • Horizontal scalability
  • Highly available
  • Persistent storage

DistributedLog and Sandglass are both open source tools. It seems that DistributedLog with 2.25K GitHub stars and 283 forks on GitHub has more adoption than Sandglass with 1.52K GitHub stars and 40 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 Sandglass?

A distributed, horizontally scalable, persistent, time ordered message queue. Developed to support asynchronous tasks and message scheduling which makes it suitable for usage as a task queue.

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What companies use DistributedLog?
What companies use Sandglass?
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    What tools integrate with DistributedLog?
    What tools integrate with Sandglass?
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      What are some alternatives to DistributedLog and Sandglass?
      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