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

LiteDB vs RethinkDB

OverviewComparisonAlternatives

Overview

RethinkDB
RethinkDB
Stacks292
Followers406
Votes307
GitHub Stars27.0K
Forks1.9K
LiteDB
LiteDB
Stacks48
Followers187
Votes24

LiteDB vs RethinkDB: What are the differences?

Introduction

Here, we will compare the key differences between LiteDB and RethinkDB.

  1. Data Model: LiteDB is a NoSQL document-oriented database that stores data as documents in a single file. It supports documents with dynamic schema, which allows flexibility in data structure. On the other hand, RethinkDB is also a NoSQL database but follows a table and row-based data model, similar to a traditional SQL database. It stores data in tables with fixed schemas.

  2. Replication and Clustering: LiteDB does not provide built-in support for replication and clustering. It is mainly designed for single-instance applications or small-scale deployments. In contrast, RethinkDB has built-in support for automatic sharding and data replication. It allows distributing data across multiple nodes and ensures high availability and fault tolerance.

  3. Real-time Updates: RethinkDB excels in real-time updates as it offers a feature called changefeeds. Changefeeds provide a consistent and efficient way to subscribe to database changes and receive real-time updates. LiteDB does not have a similar built-in feature for real-time updates.

  4. Query Language: LiteDB uses a simple SQL-like query language that offers basic querying capabilities, including CRUD operations and basic filtering and sorting. RethinkDB, on the other hand, uses its own query language called ReQL (RethinkDB Query Language). ReQL is more powerful and expressive than LiteDB's query language, offering advanced querying capabilities, joins, and aggregation functions.

  5. Scalability: RethinkDB is designed to scale horizontally by adding more nodes to a cluster. It automatically shards and distributes data across multiple nodes, providing scalability for large-scale applications. LiteDB, on the other hand, does not have built-in support for horizontal scalability. It is more suitable for small to medium-sized applications that do not require massive scalability.

  6. Community and Active Development: RethinkDB has a larger and more active community compared to LiteDB. RethinkDB has been around for a longer time and has gained popularity among developers. It receives regular updates and improvements from the community. LiteDB, although actively maintained, has a smaller community and limited resources.

In summary, LiteDB is a lightweight document-oriented database with a simple query language, suitable for small-scale applications. RethinkDB, on the other hand, is a powerful distributed database with advanced querying capabilities and real-time updates, suitable for large-scale applications requiring scalability and real-time data synchronization.

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Detailed Comparison

RethinkDB
RethinkDB
LiteDB
LiteDB

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.

Embedded NoSQL database for .NET. An open source MongoDB-like database with zero configuration - mobile ready

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.
Standalone database; Fast and lightweight; Free for everyone, including commercial use
Statistics
GitHub Stars
27.0K
GitHub Stars
-
GitHub Forks
1.9K
GitHub Forks
-
Stacks
292
Stacks
48
Followers
406
Followers
187
Votes
307
Votes
24
Pros & Cons
Pros
  • 48
    Powerful query language
  • 46
    Excellent dashboard
  • 42
    JSON
  • 41
    Distributed database
  • 38
    Open source
Pros
  • 6
    No Sql
  • 5
    Portable
  • 4
    Easy to use
  • 3
    Document oriented storage
  • 2
    Bring up or extend a database very quickly
Cons
  • 2
    Needs more real world examples
  • 2
    Online documentation needs improvement
Integrations
Amazon EC2
Amazon EC2
.NET
.NET

What are some alternatives to RethinkDB, LiteDB?

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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