DBMS > AnzoGraph DB vs. gStore vs. Kyligence Enterprise vs. Microsoft Azure Synapse Analytics

System Properties Comparison AnzoGraph DB vs. gStore vs. Kyligence Enterprise vs. Microsoft Azure Synapse Analytics

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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

A native Graph DBMS to store and maintain very large RDF datasets.

A distributed analytics engine for big data, built on top of Apache Kylin

Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server

Primary database model

Graph DBMS
RDF store

Relational DBMS

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

Score	0.23
Rank	#307	Overall
	#24	Graph DBMS
	#13	RDF stores

Score	0.04
Rank	#359	Overall
	#37	Graph DBMS
	#18	RDF stores

Score	0.40
Rank	#269	Overall
	#124	Relational DBMS

Score	20.56
Rank	#31	Overall
	#19	Relational DBMS

Website

cambridgesemantics.com/anzograph

en.gstore.cn

kyligence.io/kyligence-enterprise

azure.microsoft.com/services/synapse-analytics

Technical documentation

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

en.gstore.cn/#/enDocs

docs.microsoft.com/azure/synapse-analytics

Developer

Cambridge Semantics

Kyligence, Inc.

Microsoft

Initial release

2018

2016

Current release

2.3, January 2021

1.2, November 2023

License

Commercial or Open Source

commercial

free trial version available

Open Source

BSD

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C++

Java

C++

Server operating systems

Linux

hosted

Data scheme

Schema-free and OWL/RDFS-schema support

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.

ANSI SQL for queries (using Apache Calcite)

yes

APIs and other access methods

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

HTTP API
SPARQL 1.1

JDBC
ODBC
RESTful HTTP API

ADO.NET
JDBC
ODBC

Supported programming languages

C++
Java
Python

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

C#
Java
PHP

Server-side scripts

Stored procedures

user defined functions and aggregates

yes

Transact SQL

Triggers

Partitioning methods

Methods for storing different data on different nodes

Automatic sharding

Sharding, horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication in MPP-Cluster

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Kerberos/HDFS data loading

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency in MPP-Cluster

Immediate Consistency

Foreign keys

Referential integrity

not needed in graphs

docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-table-constraints

Transaction concepts

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

ACID

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

Access rights for users and roles

Users, roles and permissions, Role-Based Access Control (RBAC) supported

yes

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More resources

Recent citations in the news

AnzoGraph review: A graph database for deep analytics
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