DBMS > RocksDB vs. SQream DB vs. SurrealDB

System Properties Comparison RocksDB vs. SQream DB vs. SurrealDB

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Editorial information provided by DB-Engines

Name

Description

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

a GPU-based, columnar RDBMS for big data analytics workloads

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

Primary database model

Key-value store

Relational DBMS

Document store
Graph DBMS

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

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

Score	0.64
Rank	#230	Overall
	#106	Relational DBMS

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

Website

rocksdb.org

sqream.com

surrealdb.com

Technical documentation

github.com/facebook/rocksdb/wiki

docs.sqream.com

surrealdb.com/docs

Developer

Facebook, Inc.

SQream Technologies

SurrealDB Ltd

Initial release

2013

2017

2022

Current release

9.4.0, June 2024

2022.1.6, December 2022

v1.5.0, May 2024

License

Commercial or Open Source

Open Source

BSD

commercial

Open Source

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++

C++, CUDA, Haskell, Java, Scala

Rust

Server operating systems

Linux

Linux
macOS
Windows

Data scheme

schema-free

yes

schema-free

Typing

predefined data types such as float or date

yes, ANSI Standard SQL Types

yes

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

yes

SQL-like query language

APIs and other access methods

C++ API
Java API

.Net
JDBC
ODBC

GraphQL
RESTful HTTP API
WebSocket

Supported programming languages

C
C++
Go
Java
Perl
Python
Ruby

C++
Java
JavaScript (Node.js)
Python

Deno
Go
JavaScript (Node.js)
Rust

Server-side scripts

Stored procedures

user defined functions in Python

Triggers

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

horizontal and vertical partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

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

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