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etcd

299
411
+ 1
24
Salt

419
448
+ 1
164
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etcd vs Salt: What are the differences?

Developers describe etcd as "A distributed consistent key-value store for shared configuration and service discovery". etcd is a distributed key value store that provides a reliable way to store data across a cluster of machines. It’s open-source and available on GitHub. etcd gracefully handles master elections during network partitions and will tolerate machine failure, including the master. On the other hand, Salt is detailed as "Fast, scalable and flexible software for data center automation". Salt is a new approach to infrastructure management. Easy enough to get running in minutes, scalable enough to manage tens of thousands of servers, and fast enough to communicate with them in seconds Salt delivers a dynamic communication bus for infrastructures that can be used for orchestration, remote execution, configuration management and much more..

etcd can be classified as a tool in the "Open Source Service Discovery" category, while Salt is grouped under "Server Configuration and Automation".

"Service discovery" is the primary reason why developers consider etcd over the competitors, whereas "Flexible" was stated as the key factor in picking Salt.

etcd and Salt are both open source tools. etcd with 25.8K GitHub stars and 5.25K forks on GitHub appears to be more popular than Salt with 10.1K GitHub stars and 4.59K GitHub forks.

According to the StackShare community, Salt has a broader approval, being mentioned in 110 company stacks & 20 developers stacks; compared to etcd, which is listed in 27 company stacks and 11 developer stacks.

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Pros of etcd
Pros of Salt
  • 11
    Service discovery
  • 6
    Fault tolerant key value store
  • 2
    Secure
  • 2
    Bundled with coreos
  • 1
    Consol integration
  • 1
    Privilege Access Management
  • 1
    Open Source
  • 46
    Flexible
  • 30
    Easy
  • 27
    Remote execution
  • 24
    Enormously flexible
  • 12
    Great plugin API
  • 10
    Python
  • 5
    Extensible
  • 3
    Scalable
  • 2
    nginx
  • 1
    Vagrant provisioner
  • 1
    HipChat
  • 1
    Best IaaC
  • 1
    Automatisation
  • 1
    Parallel Execution

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Cons of etcd
Cons of Salt
    Be the first to leave a con
    • 1
      Bloated
    • 1
      Dangerous
    • 1
      No immutable infrastructure

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    - No public GitHub repository available -

    What is etcd?

    etcd is a distributed key value store that provides a reliable way to store data across a cluster of machines. It’s open-source and available on GitHub. etcd gracefully handles master elections during network partitions and will tolerate machine failure, including the master.

    What is Salt?

    Salt is a new approach to infrastructure management. Easy enough to get running in minutes, scalable enough to manage tens of thousands of servers, and fast enough to communicate with them in seconds. Salt delivers a dynamic communication bus for infrastructures that can be used for orchestration, remote execution, configuration management and much more.

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

    What companies use etcd?
    What companies use Salt?
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    What tools integrate with etcd?
    What tools integrate with Salt?

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    Blog Posts

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    What are some alternatives to etcd and Salt?
    Consul
    Consul is a tool for service discovery and configuration. Consul is distributed, highly available, and extremely scalable.
    Zookeeper
    A centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services. All of these kinds of services are used in some form or another by distributed applications.
    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.
    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.
    Cassandra
    Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
    See all alternatives