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CockroachDB

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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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    What is CockroachDB?

    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.

    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 CockroachDB?
    What companies use TiDB?
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    What tools integrate with CockroachDB?
    What tools integrate with TiDB?

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    What are some alternatives to CockroachDB 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.
    Oracle
    Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.
    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.
    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.
    FoundationDB
    FoundationDB is a NoSQL database with a shared nothing architecture. Designed around a "core" ordered key-value database, additional features and data models are supplied in layers. The key-value database, as well as all layers, supports full, cross-key and cross-server ACID transactions.
    See all alternatives