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

TiDB vs WatermelonDB

OverviewComparisonAlternatives

Overview

TiDB
TiDB
Stacks76
Followers177
Votes28
GitHub Stars39.3K
Forks6.0K
WatermelonDB
WatermelonDB
Stacks12
Followers123
Votes1
GitHub Stars11.3K
Forks626

TiDB vs WatermelonDB: What are the differences?

### Introduction
This markdown provides a comparison between TiDB and WatermelonDB focusing on the key differences between both database management systems.

1. **Data Model**: TiDB is a distributed SQL database that uses the traditional relational data model, while WatermelonDB is a mobile-first database designed to provide a seamless offline experience for mobile apps by using a normalized relational database model that is optimized for performance on mobile devices.

2. **Architecture**: TiDB follows a distributed architecture with a horizontally scalable, cloud-native design that supports high availability and strong consistency across clusters. On the other hand, WatermelonDB is specifically designed for offline-first applications, utilizing SQLite under the hood and a client-side database engine to interact with data locally on the device.

3. **Use Cases**: TiDB is suitable for large-scale, high-performance scenarios where distributed transactions and real-time analytics are required. WatermelonDB, on the other hand, is ideal for mobile applications that need to store and query data offline, offering fast read and write operations with minimal latency, making it suitable for mobile devices with limited processing power and network connectivity.

4. **Language Support**: TiDB supports SQL queries for interacting with the database, making it compatible with a wide range of existing applications and tools built around SQL. In contrast, WatermelonDB offers a high-level Query API that abstracts away SQL complexity, providing a more developer-friendly approach for managing data within a mobile app.

5. **Performance and Scalability**: TiDB is optimized for high performance and scalability, supporting sharding and partitioning to distribute data across multiple nodes in a cluster. WatermelonDB, while efficient for offline data handling on mobile devices, may have limitations in terms of performance and scalability when dealing with large datasets or complex queries due to its focus on local data synchronization.

6. **Community and Ecosystem**: TiDB has a larger open-source community and ecosystem, with support for various integrations, extensions, and tools to enhance its functionality and usability. In comparison, WatermelonDB, being more specialized for mobile app development, has a smaller but active community focused on improving the library for offline data management in mobile applications.

In Summary, TiDB is a distributed SQL database built for high-performance, scalable applications, while WatermelonDB is a mobile-first database optimized for offline data storage and retrieval in mobile apps. Each database system has its unique strengths and is tailored to different use cases and environments.

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Detailed Comparison

TiDB
TiDB
WatermelonDB
WatermelonDB

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

WatermelonDB is a new way of dealing with user data in React Native and React web apps. It's optimized for building complex applications in React Native, and the number one goal is real-world performance. In simple words, your app must launch fast.

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
39.3K
GitHub Stars
11.3K
GitHub Forks
6.0K
GitHub Forks
626
Stacks
76
Stacks
12
Followers
177
Followers
123
Votes
28
Votes
1
Pros & Cons
Pros
  • 9
    Open source
  • 7
    Horizontal scalability
  • 5
    Strong ACID
  • 3
    HTAP
  • 2
    Mysql Compatibility
Pros
  • 1
    Undefined is not an object (evaluating 'columnSchema.ty
Integrations
No integrations available
RxJS
RxJS
React
React
SQLite
SQLite
React Native
React Native

What are some alternatives to TiDB, WatermelonDB?

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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