NeDB vs RethinkDB

Overview

RethinkDB

Stacks292

Followers406

Votes307

GitHub Stars27.0K

Forks1.9K

NeDB

Stacks37

Followers85

Votes0

GitHub Stars13.6K

Forks1.0K

NeDB vs RethinkDB: What are the differences?

Query Language: NeDB uses a simple query language similar to MongoDB, which makes it easy to learn and use for developers familiar with MongoDB. In contrast, RethinkDB uses ReQL, a more powerful and expressive query language that allows for complex queries and operations.
Scalability: RethinkDB is designed for scalability and can easily handle large amounts of data across multiple nodes in a cluster. NeDB, being an embedded database, is not designed for high scalability and is more suited for small to medium-sized applications.
Real-Time Data Push: RethinkDB has built-in support for real-time data push with changefeeds, making it ideal for applications requiring live updates and notifications. NeDB does not have built-in support for real-time data push and would require additional libraries or services to achieve similar functionality.
Community and Support: RethinkDB has a larger and more active community compared to NeDB, which means better support, documentation, and resources available for developers using RethinkDB. NeDB, being less popular, may have limited resources and support in case of issues.
Data Processing: RethinkDB supports complex data processing operations like joins, aggregations, and map-reduce out of the box, making it suitable for data-centric applications. NeDB, on the other hand, does not have advanced data processing capabilities and is better suited for simple data storage and retrieval.
Deployment Options: RethinkDB can be deployed in a distributed setup across multiple nodes, offering high availability and fault tolerance. NeDB, being an embedded database, is typically deployed within the application itself and does not have built-in support for distributed deployments.

In Summary, NeDB is a lightweight embedded database with simpler query language and limited scalability, while RethinkDB is a powerful distributed database with advanced query capabilities, scalability, and real-time data push support.

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CLI (Node.js)

Manual

Detailed Comparison

RethinkDB	NeDB
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 persistent or in memory database for Node.js, nw.js, Electron and browsers, 100% JavaScript, no binary dependency. API is a subset of MongoDB's and it's plenty 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.	In-memory datastore; Persistent datastore;Equivalent of a MongoDB collection; JavaScript database
Statistics
GitHub Stars 27.0K	GitHub Stars 13.6K
GitHub Forks 1.9K	GitHub Forks 1.0K
Stacks 292	Stacks 37
Followers 406	Followers 85
Votes 307	Votes 0
Pros & Cons
Pros 48 Powerful query language 46 Excellent dashboard 42 JSON 41 Distributed database 38 Open source	No community feedback yet
Integrations
Amazon EC2	Electron Node.js JavaScript

What are some alternatives to RethinkDB, NeDB?

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

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 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 is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

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

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 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

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

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 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.

Related Comparisons

NeDB vs RethinkDB: What are the differences?

Query Language: NeDB uses a simple query language similar to MongoDB, which makes it easy to learn and use for developers familiar with MongoDB. In contrast, RethinkDB uses ReQL, a more powerful and expressive query language that allows for complex queries and operations.
Scalability: RethinkDB is designed for scalability and can easily handle large amounts of data across multiple nodes in a cluster. NeDB, being an embedded database, is not designed for high scalability and is more suited for small to medium-sized applications.
Real-Time Data Push: RethinkDB has built-in support for real-time data push with changefeeds, making it ideal for applications requiring live updates and notifications. NeDB does not have built-in support for real-time data push and would require additional libraries or services to achieve similar functionality.
Community and Support: RethinkDB has a larger and more active community compared to NeDB, which means better support, documentation, and resources available for developers using RethinkDB. NeDB, being less popular, may have limited resources and support in case of issues.
Data Processing: RethinkDB supports complex data processing operations like joins, aggregations, and map-reduce out of the box, making it suitable for data-centric applications. NeDB, on the other hand, does not have advanced data processing capabilities and is better suited for simple data storage and retrieval.
Deployment Options: RethinkDB can be deployed in a distributed setup across multiple nodes, offering high availability and fault tolerance. NeDB, being an embedded database, is typically deployed within the application itself and does not have built-in support for distributed deployments.

NeDB vs RethinkDB

Overview