DBMS > RocksDB vs. SurrealDB vs. ToroDB

System Properties Comparison RocksDB vs. SurrealDB vs. ToroDB

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Editorial information provided by DB-Engines

Name

ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

Description

Embeddable persistent key-value store optimized for fast storage (flash and RAM)

A fully ACID transactional, developer-friendly, multi-model DBMS

A MongoDB-compatible JSON document store, built on top of PostgreSQL

Primary database model

Key-value store

Document store
Graph DBMS

Document store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	2.89
Rank	#97	Overall
	#16	Key-value stores

Score	1.04
Rank	#180	Overall
	#30	Document stores
	#17	Graph DBMS

Website

rocksdb.org

surrealdb.com

github.com/torodb/server

Technical documentation

github.com/facebook/rocksdb/wiki

surrealdb.com/docs

Developer

Facebook, Inc.

SurrealDB Ltd

8Kdata

Initial release

2013

2022

2016

Current release

9.4.0, June 2024

v1.5.0, May 2024

License

Commercial or Open Source

Open Source

BSD

Open Source

AGPL-V3

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++

Rust

Java

Server operating systems

Linux

Linux
macOS
Windows

All OS with a Java 7 VM

Data scheme

schema-free

Typing

predefined data types such as float or date

yes

string, integer, double, boolean, date, object_id

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

SQL

Support of SQL

SQL-like query language

APIs and other access methods

C++ API
Java API

GraphQL
RESTful HTTP API
WebSocket

Supported programming languages

C
C++
Go
Java
Perl
Python
Ruby

Deno
Go
JavaScript (Node.js)
Rust

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

yes

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

yes, based on authentication and database rules

Access rights for users and roles

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