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

CockroachDB vs TiDB

OverviewComparisonAlternatives

Overview

TiDB
TiDB
Stacks76
Followers177
Votes28
GitHub Stars39.3K
Forks6.0K
CockroachDB
CockroachDB
Stacks216
Followers341
Votes0

CockroachDB vs TiDB: What are the differences?

Introduction

CockroachDB and TiDB are both distributed SQL databases designed for high availability, scalability, and fault-tolerance. However, there are several key differences between the two:

  1. Consistency model: CockroachDB follows a strong consistency model, ensuring that all reads see the most recent write. On the other hand, TiDB follows a hybrid consistency model, offering both strong and eventual consistency. This means that while CockroachDB provides strict consistency, TiDB allows for more flexibility in trading off consistency for latency in some scenarios.

  2. Architecture: CockroachDB is based on a hierarchical structure, where data is divided into zones, ranges, and replicas. It utilizes a consensus protocol called Raft to handle leader elections and ensure replication. In contrast, TiDB adopts a distributed architecture inspired by Google's Spanner, using a distributed transaction protocol called Multi-Raft to achieve strong consistency across multiple regions.

  3. SQL compatibility: CockroachDB aims to provide full compatibility with the PostgreSQL SQL dialect, including support for advanced features like indexing and JOINs. On the other hand, TiDB is compatible with the MySQL ecosystem, supporting common SQL syntax and many of the associated tools and libraries.

  4. Storage engine: CockroachDB uses its own storage engine called Pebble, optimized for distributed use cases. It provides transactional key-value storage and offers additional features like range splitting and distributed snapshots. In contrast, TiDB relies on TiKV as its storage engine, which is a distributed Key-Value store based on the Raft protocol.

  5. Tooling and ecosystem: CockroachDB has a more mature and feature-complete tooling ecosystem, including a web-based admin UI, built-in backup and restore functionality, along with integration with popular observability tools like Prometheus and Grafana. While TiDB also provides some tooling like TiDB Dashboard, the ecosystem is still evolving and may not offer the same level of features and integration.

  6. Performance considerations: CockroachDB has a higher write latency compared to TiDB, as it prioritizes strong consistency by default. TiDB, on the other hand, can achieve lower latency for writes by relaxing consistency guarantees when necessary. Additionally, CockroachDB's architecture allows it to scale horizontally better, while TiDB may be limited by the performance of its storage engine.

In summary, CockroachDB and TiDB differ in their consistency models, architecture, SQL compatibility, storage engines, tooling ecosystems, and performance considerations. These differences allow users to choose the database that best fits their specific requirements and use cases.

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Detailed Comparison

TiDB
TiDB
CockroachDB
CockroachDB

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

CockroachDB is distributed SQL database that can be deployed in serverless, dedicated, or on-prem. Elastic scale, multi-active availability for resilience, and low latency performance.

Horizontal scalability;Asynchronous schema changes;Consistent distributed transactions;Compatible with MySQL protocol;Written in Go;NewSQL over TiKV;Multiple storage engine support
sql; high availability; fast; acid;
Statistics
GitHub Stars
39.3K
GitHub Stars
-
GitHub Forks
6.0K
GitHub Forks
-
Stacks
76
Stacks
216
Followers
177
Followers
341
Votes
28
Votes
0
Pros & Cons
Pros
  • 9
    Open source
  • 7
    Horizontal scalability
  • 5
    Strong ACID
  • 3
    HTAP
  • 2
    Enterprise Support
No community feedback yet

What are some alternatives to TiDB, CockroachDB?

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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