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etcd vs zetcd: What are the differences?

Introduction

When comparing etcd and zetcd, it is important to understand the key differences between these two technologies that are commonly used for distributed key-value store purposes.

  1. Storage Engine Implementation: One significant difference between etcd and zetcd is the storage engine implementation. Etcd utilizes a custom-built storage engine based on the Raft consensus algorithm, providing strong consistency guarantees. On the other hand, zetcd is designed to act as a proxy to ZooKeeper service, translating its API calls to etcd, which uses its storage engine.

  2. Compatibility with ZooKeeper: Another crucial difference lies in compatibility with ZooKeeper clients. Etcd is not fully compatible with ZooKeeper clients due to differences in API protocols, while zetcd aims to bridge this gap by allowing ZooKeeper applications to seamlessly interact with etcd using the ZooKeeper API.

  3. Performance and Scalability: In terms of performance and scalability, etcd is optimized for speed and can handle a high volume of read and write operations efficiently. Conversely, zetcd may introduce additional latency compared to direct etcd interactions due to the translation process between ZooKeeper API calls and etcd operations.

  4. Development and Maintenance: Etcd is actively developed and maintained by the open-source community, with regular updates and improvements. In contrast, zetcd is a more specialized project focused on providing compatibility with ZooKeeper, which may translate to a slower development pace and fewer features compared to etcd.

  5. Overhead and Resource Consumption: Due to its proxy nature, zetcd may introduce additional overhead and resource consumption compared to etcd, which operates directly on its storage engine. This overhead can impact the overall performance and scalability of applications utilizing zetcd for compatibility with ZooKeeper.

  6. Community Support and Documentation: Etcd benefits from a robust community support system and comprehensive documentation, making it easier for users to troubleshoot issues, seek help, and access resources. On the other hand, zetcd may have a smaller user base and less extensive documentation, leading to potential challenges in adopting and troubleshooting the technology.

In Summary, etcd and zetcd differ in their storage engine implementation, compatibility with ZooKeeper clients, performance, development focus, resource consumption, and community support.

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Pros of etcd
Pros of zetcd
  • 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
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    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 zetcd?

    A ZooKeeper "personality" for etcd. Point a ZooKeeper client at zetcd to dispatch the operations on an etcd cluster. Protocol encoding and decoding heavily based on go-zookeeper.

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      What are some alternatives to etcd and zetcd?
      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