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

TiDB vs YugabyteDB

OverviewComparisonAlternatives

Overview

TiDB
TiDB
Stacks76
Followers177
Votes28
GitHub Stars39.3K
Forks6.0K
YugabyteDB
YugabyteDB
Stacks50
Followers114
Votes1
GitHub Stars9.9K
Forks1.2K

TiDB vs YugabyteDB: What are the differences?

Introduction

TiDB and YugabyteDB are both distributed SQL databases that provide scalability, high availability, and compatibility with different data models. However, they differ in several key aspects, which are outlined below:

  1. Storage Layer: In TiDB, the storage layer is powered by TiKV, a distributed key-value store. This allows for horizontal scalability and high availability. On the other hand, YugabyteDB uses the YB-TServer layer, which is a distributed transactional key-value store. This provides a similar level of scalability and availability but with added support for distributed transactions.

  2. Consistency Model: TiDB follows a strict serializable consistency model, ensuring that all transactions see a consistent state of the database. On the other hand, YugabyteDB supports both serializable and snapshot isolation levels, providing more flexibility in choosing the desired consistency requirement for a specific use case.

  3. SQL Compatibility: TiDB is fully compatible with MySQL, which means that existing MySQL applications can seamlessly migrate to TiDB without the need for significant code changes. YugabyteDB, on the other hand, provides PostgreSQL compatibility, allowing applications built on PostgreSQL to work with YugabyteDB without major modifications.

  4. Sharding Approach: TiDB uses a range-based sharding approach, where data is distributed across different partitions based on a defined range. In contrast, YugabyteDB adopts a hash-based sharding approach, where data is hashed and distributed across different nodes based on the hash value. This difference impacts the way data is distributed and how queries are executed.

  5. Multi-Cloud Support: YugabyteDB offers native multi-cloud support, allowing users to deploy clusters across multiple cloud providers or on-premises data centers. This provides flexibility and redundancy options for distributed applications. On the other hand, while TiDB can be deployed on multiple cloud providers, it does not provide native multi-cloud support out-of-the-box.

  6. Data Replication: TiDB follows a synchronous replication model by default, where data is replicated across different nodes in real-time. This ensures strong consistency but may introduce some latency. In contrast, YugabyteDB supports both synchronous and asynchronous replication, giving users the option to choose between strong consistency or lower latency.

In summary, TiDB and YugabyteDB differ in the choice of storage layer, consistency model, SQL compatibility, sharding approach, multi-cloud support, and data replication options. These differences offer users the ability to select the database that best aligns with their specific requirements and use cases.

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Detailed Comparison

TiDB
TiDB
YugabyteDB
YugabyteDB

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

An open-source, high-performance, distributed SQL database built for resilience and scale. Re-uses the upper half of PostgreSQL to offer advanced RDBMS features, architected to be fully distributed like Google Spanner.

Horizontal scalability;Asynchronous schema changes;Consistent distributed transactions;Compatible with MySQL protocol;Written in Go;NewSQL over TiKV;Multiple storage engine support
Resilience; High Performance; Scalability; Enterprise Grade; Cloud-native; Kubernetes; PostgreSQL-compatible; Geo-Distributed; Hybrid Cloud
Statistics
GitHub Stars
39.3K
GitHub Stars
9.9K
GitHub Forks
6.0K
GitHub Forks
1.2K
Stacks
76
Stacks
50
Followers
177
Followers
114
Votes
28
Votes
1
Pros & Cons
Pros
  • 9
    Open source
  • 7
    Horizontal scalability
  • 5
    Strong ACID
  • 3
    HTAP
  • 2
    Enterprise Support
Pros
  • 1
    Compatible with the result of pg_dump
Integrations
No integrations available
Golang
Golang
PHP
PHP
Java
Java
Python
Python
Spring Boot
Spring Boot
Apache Spark
Apache Spark
Node.js
Node.js
C#
C#
Kubernetes
Kubernetes
Ruby
Ruby

What are some alternatives to TiDB, YugabyteDB?

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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