DBMS > OpenMLDB vs. RocksDB vs. SurrealDB

System Properties Comparison OpenMLDB vs. RocksDB vs. SurrealDB

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Editorial information provided by DB-Engines

Name

Description

An open-source machine learning database that provides a feature platform for training and inference

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

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

Primary database model

Time Series DBMS

Key-value store

Document store
Graph DBMS

Secondary database models

Relational DBMS

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

Score	0.04
Rank	#358	Overall
	#37	Time Series DBMS

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

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

Website

openmldb.ai

rocksdb.org

surrealdb.com

Technical documentation

openmldb.ai/docs/zh/main

github.com/facebook/rocksdb/wiki

surrealdb.com/docs

Developer

4 Paradigm Inc.

Facebook, Inc.

SurrealDB Ltd

Initial release

2020

2013

2022

Current release

2024-2 February 2024

9.4.0, June 2024

v1.5.0, May 2024

License

Commercial or Open Source

Open Source

BSD

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++, Java, Scala

C++

Rust

Server operating systems

Linux

Linux
macOS
Windows

Data scheme

Fixed schema

schema-free

Typing

predefined data types such as float or date

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

yes

SQL

Support of SQL

yes

SQL-like query language

APIs and other access methods

JDBC
SQLAlchemy

C++ API
Java API

GraphQL
RESTful HTTP API
WebSocket

Supported programming languages

C++
Go
Java
Python
Scala

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

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

yes

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

fine grained access rights according to SQL-standard

yes, based on authentication and database rules

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