What are the best databases to use for Node.js applications?

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score 56 · Accepted Answer

PostgreSQL

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Top Pro

Strong community

PostgreSQL has a strong community backing it, with guides, tutorials and support for any kind of problem a developer may have. See More

Top Con

Not suited for small apps

Because of it's complexity and power, it may be an overkill to use PostgreSQL in small applications that will not make use of it's full power. See More

Specs

JSON?:Yes

Top Pro

Fully ACID compliant

PostgreSQL is known to have a very holistic approach to robustness and data integrity which is reflected by it being fully ACID compliant. PostgreSQL has always been strict about making sure data is valid before allowing it into the database, and there is no way for a client to bypass those checks. Depending on your requirements, ACID compliance might be important. See More

Top Pro

High performance

PostgreSQL performance increases with each release, this is also proven by many benchmark tests. Notable performance features include: As PostgreSQL only supports one storage engine, it has been able to integrate and optimise it and with the rest of the database. This has resulted in multiple benefits such as the ability to allow different transaction types to co-exist efficiently without the need to select storage engine types once for each table ahead of time. On the fly data compression resulting in less IO required for reading. Asynchronous + synchronous Replication. PostgreSQL supports a asynchronous API for use by client applications. It is reported to increase performance by up to 40% and is not supported by MySQL. Designed to scale very well with large numbers of cores at high concurrency levels. See More

Top Pro

Support for JSON data type

JSON data can be stored as a column with optional indexes. In 9.4 (upcoming at the time of this writing), JSONB will be a binary version of JSON that will save space. It's like the best of the NO-SQL world without having to give up ACID and Relationships. This means that cascading deletes can be done in a single Transaction across multiple JSON documents. See More

Top Pro

Multiple node packages available

There are many packages (like Sequelize) that integrate deeply with the features Postgres offers. See More

Top Pro

Actively developed

Regular fixes and features are released See More

Top Pro

Support for geographic objects

PostgreSQL can be extended to have geographic object support through PostGIS and allows for location queries to be run through SQL. See More

Top Pro

Support Perl and Python for coding stored procedures

Postgres supports popular languages for coding stored procedures, such as Perl and Python. So, you can fairly easy transform just DB-server to reliable Service with complex business logic. See More

See All

The Best 1 of 14 OptionsWhy?

My Recommendation for PostgreSQL

My Recommendation for PostgreSQL

Strong community

Not suited for small apps

Fully ACID compliant

High performance

Support for JSON data type

Multiple node packages available

Actively developed

Support for geographic objects

Support Perl and Python for coding stored procedures

13 Other Options Considered

My Recommendation for RethinkDB

My Recommendation for RethinkDB

Easy install

Cannot run queries from its CLI

CLI and web administration tools

No user accounts

Powerful query language

Changefeeds (change listeners)

Horizontal scalability

Ease of cluster setup

Auto master promotion

My Recommendation for CouchDB

My Recommendation for CouchDB

Simple Map/Reduce support

Can only achieve consistency through replication and verification

Replicate and sync with the browser via PouchDB

Useful for applications where versioning is important

Sharding and Clustering support

Master-Master replication

Works well between physical network partitions

Available

My Recommendation for Redis

My Recommendation for Redis

Redis is written in ANSI C and therefore doesn't have a VM

My Recommendation for MongoDB

My Recommendation for MongoDB

Easy to scale

Reported to lose or corrupt data

Doesn't require a unified data structure

Need many search features

Perfect documentation and tutorials

Document Stores may be not suited for relational data

Uses JSON

Great speed

My Recommendation for SQLite

My Recommendation for SQLite

Flexible

Limited locking

My Recommendation for OrientDB

My Recommendation for OrientDB

Free clustering support

Bulk inserts may cause an out of memory crash

Open Source commercial friendly license (Apache 2)

Learning curve

Multi-model database (document, object, graph)

Not well known

Enterprise version available

Performance

Full text search

Multi-master replication

Supports sql as well as other query languages

Distributed Graph Database with relational type Documents

My Recommendation for MySQL

My Recommendation for MySQL

Lots of community support available

Error messages usually are not very detailed

Multiple third-party tools that help working with MySQL

Easy to start working with

Scalable

Backed by Oracle

My Recommendation for ArangoDB

My Recommendation for ArangoDB

Easy cluster setup

Supports joins

Powerful Java Driver (Sync & Async)

Transaction save

JavaScript-API