DBMS > RocksDB vs. SiriDB vs. YottaDB

System Properties Comparison RocksDB vs. SiriDB vs. YottaDB

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Editorial information provided by DB-Engines

Name

Description

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

Open Source Time Series DBMS

A fast and solid embedded Key-value store

Primary database model

Key-value store

Time Series DBMS

Key-value store

Secondary database models

Relational DBMS

using the Octo plugin

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

Score	2.73
Rank	#97	Overall
	#15	Key-value stores

Score	0.00
Rank	#379	Overall
	#41	Time Series DBMS

Score	0.17
Rank	#314	Overall
	#44	Key-value stores

Website

rocksdb.org

siridb.com

yottadb.com

Technical documentation

github.com/facebook/rocksdb/wiki

docs.siridb.com

yottadb.com/resources/documentation

Developer

Facebook, Inc.

Cesbit

YottaDB, LLC

Initial release

2013

2017

2001

Current release

9.4.0, June 2024

License

Commercial or Open Source

Open Source

BSD

Open Source

MIT License

Open Source

AGPL 3.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++

Server operating systems

Linux

Docker
Linux

Data scheme

schema-free

yes

schema-free

Typing

predefined data types such as float or date

yes

Numeric data

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

by using the Octo plugin

APIs and other access methods

C++ API
Java API

HTTP API

PostgreSQL wire protocol

using the Octo plugin
Proprietary protocol

Supported programming languages

C
C++
Go
Java
Perl
Python
Ruby

C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R

C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
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

MapReduce

Offers an API for user-defined Map/Reduce methods

Foreign keys

Referential integrity

Transaction concepts

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

yes

optimistic locking

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

simple rights management via user accounts

Users and groups based on OS-security mechanisms

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