DBMS > AgensGraph vs. atoti vs. RocksDB vs. Yaacomo

System Properties Comparison AgensGraph vs. atoti vs. RocksDB vs. Yaacomo

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Editorial information provided by DB-Engines

Name

Yaacomo seems to be discontinued and is removed from the DB-Engines ranking

Description

Multi-model database supporting relational and graph data models and built upon PostgreSQL

An in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.

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

OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing

Primary database model

Graph DBMS
Relational DBMS

Object oriented DBMS

Key-value store

Relational DBMS

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

Score	0.23
Rank	#315	Overall
	#26	Graph DBMS
	#140	Relational DBMS

Score	0.61
Rank	#243	Overall
	#10	Object oriented DBMS

Score	3.41
Rank	#86	Overall
	#11	Key-value stores

Website

bitnine.net/agensgraph

atoti.io

rocksdb.org

yaacomo.com

Technical documentation

bitnine.net/documentation

docs.atoti.io

github.com/facebook/rocksdb/wiki

Developer

Bitnine Global Inc.

ActiveViam

Facebook, Inc.

Q2WEB GmbH

Initial release

2016

2013

2009

Current release

2.1, December 2018

9.2.1, May 2024

License

Commercial or Open Source

Open Source

Apache License 2.0

commercial

free versions available

Open Source

BSD

commercial

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

Java

C++

Server operating systems

Linux
OS X
Windows

Linux

Android
Linux
Windows

Data scheme

depending on used data model

schema-free

yes

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

Multidimensional Expressions (MDX)

yes

APIs and other access methods

Cypher Query Language
JDBC

C++ API
Java API

JDBC
ODBC

Supported programming languages

C
Java
JavaScript
Python

C
C++
Go
Java
Perl
Python
Ruby

Server-side scripts

Stored procedures

yes

Python

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

no, but can be realized using table inheritance

Sharding, horizontal partitioning

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

yes

Source-replica replication

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

yes

Transaction concepts

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

ACID

yes

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

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

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