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Noms vs TiDB

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Noms
4
24
+ 1
0
TiDB
77
177
+ 1
28
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Noms vs TiDB: What are the differences?

Developers describe Noms as "A new decentralized database based on ideas from Git". Noms is a new database that makes it easy to store, move, and collaborate on large-scale structured data. Noms gives you the entire Git workflow, but for large-scale structured (or unstructured) data. Fork, merge, track history, efficiently synchronize changes, etc. On the other hand, TiDB is detailed as "A distributed NewSQL database compatible with MySQL protocol". Inspired by the design of Google F1, TiDB supports the best features of both traditional RDBMS and NoSQL.

Noms and TiDB can be primarily classified as "Databases" tools.

Noms and TiDB are both open source tools. It seems that TiDB with 19.6K GitHub stars and 2.85K forks on GitHub has more adoption than Noms with 6.91K GitHub stars and 251 GitHub forks.

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Pros of Noms
Pros of TiDB
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    • 9
      Open source
    • 7
      Horizontal scalability
    • 5
      Strong ACID
    • 3
      HTAP
    • 2
      Mysql Compatibility
    • 2
      Enterprise Support

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    What is Noms?

    Noms is a new database that makes it easy to store, move, and collaborate on large-scale structured data. Noms gives you the entire Git workflow, but for large-scale structured (or unstructured) data. Fork, merge, track history, efficiently synchronize changes, etc.

    What is TiDB?

    Inspired by the design of Google F1, TiDB supports the best features of both traditional RDBMS and NoSQL.

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    What companies use Noms?
    What companies use TiDB?
      No companies found
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      What tools integrate with Noms?
      What tools integrate with TiDB?
        No integrations found
        What are some alternatives to Noms and TiDB?
        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.
        Amazon S3
        Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
        See all alternatives

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