DBMS > AnzoGraph DB vs. Cubrid vs. JaguarDB vs. Sadas Engine

System Properties Comparison AnzoGraph DB vs. Cubrid vs. JaguarDB vs. Sadas Engine

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

Scalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualization

CUBRID is an open-source SQL-based relational database management system with object extensions for OLTP

Performant, highly scalable DBMS for AI and IoT applications

SADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environments

Primary database model

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

Score	0.16
Rank	#297	Overall
	#25	Graph DBMS
	#13	RDF stores

Score	1.20
Rank	#160	Overall
	#76	Relational DBMS

Score	0.00
Rank	#354	Overall
	#54	Key-value stores

Score	0.00
Rank	#354	Overall
	#152	Relational DBMS

Website

www.cambridgesemantics.com/anzograph

cubrid.com (korean)
cubrid.org (english)

www.datajaguar.com

www.sadasengine.com

Technical documentation

docs.cambridgesemantics.com/anzograph/userdoc/home.htm

cubrid.org/manuals

www.datajaguar.com/support.php

www.sadasengine.com/index.php/downloads/documentation-columnar-db

Developer

Cambridge Semantics

CUBRID Corporation, CUBRID Foundation

DataJaguar, Inc.

SADAS s.r.l.

Initial release

2018

2008

2015

2006

Current release

2.3, January 2021

11.0, January 2021

2.9.4 September 2018

8.0

License

Commercial or Open Source

commercial

free trial version available

Open Source

Apache Version 2.0

Open Source

GPL V3.0

commercial

free trial version available

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, C++, Java

C++

the server part. Clients available in other languages

C++

Server operating systems

Linux

Linux
Windows

Linux

AIX
Linux
Windows

Data scheme

Schema-free and OWL/RDFS-schema support

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

SPARQL and SPARQL* as primary query language. Cypher preview.

yes

A subset of ANSI SQL is implemented

but no views, foreign keys, triggers

yes

APIs and other access methods

Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL

ADO.NET
JDBC
ODBC
OLE DB

JDBC
ODBC

JDBC
ODBC
Proprietary protocol

Supported programming languages

C++
Java
Python

C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby

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

.Net
C
C#
C++
Groovy
Java
PHP
Python

Server-side scripts

Stored procedures

user defined functions and aggregates

Java Stored Procedures

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Automatic sharding

none

Sharding

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication in MPP-Cluster

Source-replica replication

Multi-source replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Kerberos/HDFS data loading

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency in MPP-Cluster

Immediate Consistency

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

not needed in graphs

yes

Transaction concepts

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

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

managed by 'Learn by Usage'

User concepts

Access control

Access rights for users and roles

fine grained access rights according to SQL-standard

rights management via user accounts

Access rights for users, groups and roles according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

AnzoGraph review: A graph database for deep analytics
15 April 2019, InfoWorld

Cambridge Semantics Announces Major Upgrades to Its Award-Winning AnzoGraph® DB, Including Free Edition for Commercial Use
23 January 2020, Business Wire

Cambridge Semantics Fits AnzoGraph DB with More Speed, Free Access
23 January 2020, Solutions Review

Cambridge Semantics Announces AnzoGraph™ Graph-Based Online Analytics Support for Amazon Neptune and Graph Databases
15 February 2018, Business Wire

Global Metadata Management Tools Market Size, Share & Industry Trends Analysis Report, 2021 - 2027
9 May 2022, Yahoo Finance

provided by Google News

Job opportunities

Technical Sales Specialist
Katana Graph, New York, NY

Sr. Sales Engineer (Austin or US Remote)
Katana Graph, Austin, TX

Technical Sales Specialist
Katana Graph, Austin, TX

Principal Streaming Data Engineer
Medidata Solutions, New York, NY

Principal Software Engineer
Cambridge Semantics, San Diego, CA

Software Engineer
SAIC, O'Fallon, IL

jobs by

Share this page