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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. CrateIO vs TiDB

CrateIO vs TiDB

OverviewComparisonAlternatives

Overview

CrateIO
CrateIO
Stacks19
Followers39
Votes7
GitHub Stars4.3K
Forks581
TiDB
TiDB
Stacks76
Followers177
Votes28
GitHub Stars39.3K
Forks6.0K

CrateIO vs TiDB: What are the differences?

CrateIO: The Distributed Database for Docker. Crate is a distributed data store. Simply install Crate directly on your application servers and make the big centralized database a thing of the past. Crate takes care of synchronization, sharding, scaling, and replication even for mammoth data sets; TiDB: 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.

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

Some of the features offered by CrateIO are:

  • Familiar SQL syntax
  • Semi-structured data
  • High availability, resiliency, and scalability in a distributed design

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

  • Horizontal scalability
  • Asynchronous schema changes
  • Consistent distributed transactions

CrateIO 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 CrateIO with 2.49K GitHub stars and 333 GitHub forks.

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Detailed Comparison

CrateIO
CrateIO
TiDB
TiDB

Crate is a distributed data store. Simply install Crate directly on your application servers and make the big centralized database a thing of the past. Crate takes care of synchronization, sharding, scaling, and replication even for mammoth data sets.

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

Familiar SQL syntax;Semi-structured data;High availability, resiliency, and scalability in a distributed design;Powerful Lucene based full-text search
Horizontal scalability;Asynchronous schema changes;Consistent distributed transactions;Compatible with MySQL protocol;Written in Go;NewSQL over TiKV;Multiple storage engine support
Statistics
GitHub Stars
4.3K
GitHub Stars
39.3K
GitHub Forks
581
GitHub Forks
6.0K
Stacks
19
Stacks
76
Followers
39
Followers
177
Votes
7
Votes
28
Pros & Cons
Pros
  • 3
    Simplicity
  • 2
    Open source
  • 2
    Scale
Pros
  • 9
    Open source
  • 7
    Horizontal scalability
  • 5
    Strong ACID
  • 3
    HTAP
  • 2
    Mysql Compatibility
Integrations
Docker
Docker
No integrations available

What are some alternatives to CrateIO, TiDB?

MongoDB

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.

MySQL

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

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.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

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.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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