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

RethinkDB vs WatermelonDB

OverviewComparisonAlternatives

Overview

RethinkDB
RethinkDB
Stacks292
Followers406
Votes307
GitHub Stars27.0K
Forks1.9K
WatermelonDB
WatermelonDB
Stacks12
Followers123
Votes1
GitHub Stars11.3K
Forks626

RethinkDB vs WatermelonDB: What are the differences?

Introduction

In this comparison, we will highlight the key differences between RethinkDB and WatermelonDB, two popular databases used in web development.

  1. Data Synchronization: RethinkDB provides real-time data synchronization capabilities out of the box, allowing multiple clients to stay updated with the latest changes in the database without manual intervention. WatermelonDB, on the other hand, relies on custom solutions or third-party libraries for real-time data synchronization.

  2. Data Persistence: RethinkDB stores data in traditional JSON documents, making it easier for developers to work with the data and perform complex queries. WatermelonDB, however, uses a SQLite database under the hood to store data in a more efficient manner, which can improve performance for larger datasets.

  3. Mobile Application Support: WatermelonDB is specifically designed for mobile applications, offering offline-first capabilities and optimized performance for mobile devices. RethinkDB, while suitable for web applications, may not be the ideal choice for mobile applications due to potential performance constraints.

  4. Query Language: RethinkDB uses a flexible and powerful query language called ReQL, which allows developers to perform complex queries and transformations on the data easily. WatermelonDB, on the other hand, employs a simpler query API that abstracts away some of the complexities of database querying, making it more user-friendly for beginners.

  5. Community and Support: RethinkDB has a larger community and more extensive documentation available, making it easier for developers to find solutions to common problems and get help when needed. WatermelonDB, being a newer and more specialized database, may have a smaller community and limited resources for support.

  6. Scalability: RethinkDB is designed to be scalable and distributed by nature, allowing for seamless horizontal scaling as the data grows. WatermelonDB, while efficient for smaller to medium-sized applications, may face challenges when scaling to handle large amounts of data and high levels of traffic.

In Summary, RethinkDB and WatermelonDB differ in terms of data synchronization, data persistence, mobile application support, query language, community support, and scalability.

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Detailed Comparison

RethinkDB
RethinkDB
WatermelonDB
WatermelonDB

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.

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.

JSON data model and immediate consistency.;Distributed joins, subqueries, aggregation, atomic updates.;Secondary, compound, and arbitrarily computed indexes.;Hadoop-style map/reduce.;Friendly web and command-line administration tools.;Takes care of machine failures and network interrupts.;Multi-datacenter replication and failover.;Sharding and replication to multiple nodes.;Queries are automatically parallelized and distributed.;Lock-free operation via MVCC concurrency.
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Statistics
GitHub Stars
27.0K
GitHub Stars
11.3K
GitHub Forks
1.9K
GitHub Forks
626
Stacks
292
Stacks
12
Followers
406
Followers
123
Votes
307
Votes
1
Pros & Cons
Pros
  • 48
    Powerful query language
  • 46
    Excellent dashboard
  • 42
    JSON
  • 41
    Distributed database
  • 38
    Open source
Pros
  • 1
    Undefined is not an object (evaluating 'columnSchema.ty
Integrations
Amazon EC2
Amazon EC2
RxJS
RxJS
React
React
SQLite
SQLite
React Native
React Native

What are some alternatives to RethinkDB, 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.

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.

InfluxDB

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

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