DBMS > AgensGraph vs. EDB Postgres vs. H2 vs. XTDB

System Properties Comparison AgensGraph vs. EDB Postgres vs. H2 vs. XTDB

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Editorial information provided by DB-Engines

Name

Description

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

The EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.

Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.

A general purpose database with bitemporal SQL and Datalog and graph queries

Primary database model

Graph DBMS
Relational DBMS

Relational DBMS

Document store

Secondary database models

Document store
Spatial DBMS

Spatial 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	1.91
Rank	#130	Overall
	#60	Relational DBMS

Score	8.33
Rank	#46	Overall
	#30	Relational DBMS

Score	0.18
Rank	#332	Overall
	#46	Document stores

Website

bitnine.net/agensgraph

www.enterprisedb.com

www.h2database.com

github.com/xtdb/xtdb
www.xtdb.com

Technical documentation

bitnine.net/documentation

www.enterprisedb.com/docs

www.h2database.com/html/main.html

www.xtdb.com/docs

Developer

Bitnine Global Inc.

EnterpriseDB

Thomas Mueller

Juxt Ltd.

Initial release

2016

2005

2019

Current release

2.1, December 2018

14, December 2021

2.2.220, July 2023

1.19, September 2021

License

Commercial or Open Source

Open Source

Apache License 2.0

commercial

BSD for PostgreSQL-components

Open Source

dual-licence (Mozilla public license, Eclipse public license)

Open Source

MIT License

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

Clojure

Server operating systems

Linux
OS X
Windows

Linux
Windows

All OS with a Java VM

All OS with a Java 8 (and higher) VM
Linux

Data scheme

depending on used data model

yes

schema-free

Typing

predefined data types such as float or date

yes

yes, extensible-data-notation format

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.

yes

specific XML-type available, but no XML query functionality.

Secondary indexes

yes

SQL

Support of SQL

yes

standard with numerous extensions

yes

limited SQL, making use of Apache Calcite

APIs and other access methods

Cypher Query Language
JDBC

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

JDBC
ODBC

HTTP REST
JDBC

Supported programming languages

C
Java
JavaScript
Python

.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl

Java

Clojure
Java

Server-side scripts

Stored procedures

yes

user defined functions

realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.

Java Stored Procedures and User-Defined Functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

no, but can be realized using table inheritance

horizontal partitioning

by hash, list or range

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

Multi-source replication

With clustering: 2 database servers on different computers operate on identical copies of a database

yes, each node contains all data

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

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB

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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More resources

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