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

ClustrixDB vs TiDB

OverviewComparisonAlternatives

Overview

ClustrixDB
ClustrixDB
Stacks4
Followers35
Votes3
TiDB
TiDB
Stacks76
Followers177
Votes28
GitHub Stars39.3K
Forks6.0K

ClustrixDB vs TiDB: What are the differences?

<Write Introduction here>
  1. Scalability: ClustrixDB is designed for scaling out by adding more nodes to distribute the workload, while TiDB employs a shared-nothing architecture for horizontal scalability. ClustrixDB uses a sharded architecture where data is split across different nodes, while TiDB uses a multi-raft architecture to maintain data consistency and availability.
  2. Consistency Model: ClustrixDB supports immediate consistency, meaning all nodes see the same data at the same time, while TiDB offers eventual consistency, allowing for performance optimizations by relaxing consistency requirements.
  3. SQL Compatibility: ClustrixDB is compatible with MySQL at the SQL layer for ease of integration with existing applications, while TiDB is compatible with the MySQL protocol and supports a subset of MySQL syntax and functions.
  4. Storage Engine: ClustrixDB uses a distributed storage engine to store data across multiple nodes, while TiDB uses a distributed storage engine based on TiKV, a distributed transactional key-value store.
  5. High Availability: ClustrixDB provides automatic failover and data redundancy for high availability, while TiDB offers a similar high availability feature through distributed consensus and replication mechanisms.
  6. Optimization Techniques: ClustrixDB uses data sharding and replication for query optimization, while TiDB leverages algorithms like the RefactorDB algorithm to optimize query performance and data distribution.
In Summary, ClustrixDB and TiDB differ in terms of scalability, consistency model, SQL compatibility, storage engine, high availability, and optimization techniques.

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Detailed Comparison

ClustrixDB
ClustrixDB
TiDB
TiDB

ClustrixDB is a scale-out SQL database built from the ground up with a distributed shared nothing architecture, automatic data redistribution (so you never need to shard), with built in fault tolerance, all accessible by a simple SQL interface and support for business critical MySQL features – replication, triggers, stored routines, etc.

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

Is built from the ground up with a shared-nothing architecture. There is no MySQL code in ClustrixDB;Is built to scale transactions while maintaning ACID;Scales to add capacity by simply adding commodity servers to the cluster;Is fault tolerant and automatically recovers in the face of hardware or other failure;Uses a simple SQL interface that is compatible with MySQL syntax
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
-
GitHub Stars
39.3K
GitHub Forks
-
GitHub Forks
6.0K
Stacks
4
Stacks
76
Followers
35
Followers
177
Votes
3
Votes
28
Pros & Cons
Pros
  • 1
    Relational Scale-Out database
  • 1
    ClustrixDB is a scale-out RDBMS and drop-in replacement
  • 1
    Very High Connection Count
Pros
  • 9
    Open source
  • 7
    Horizontal scalability
  • 5
    Strong ACID
  • 3
    HTAP
  • 2
    Enterprise Support

What are some alternatives to ClustrixDB, 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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