DBMS > Altibase vs. Dgraph vs. JaguarDB vs. XTDB

System Properties Comparison Altibase vs. Dgraph vs. JaguarDB vs. XTDB

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Editorial information provided by DB-Engines

Name

Description

An enterprise grade, high-performance RDBMS

Distributed and scalable native Graph DBMS

Performant, highly scalable DBMS for AI and IoT applications

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

Primary database model

Relational DBMS

Graph DBMS

Key-value store
Vector DBMS

Document store

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

Score	0.87
Rank	#200	Overall
	#93	Relational DBMS

Score	1.39
Rank	#155	Overall
	#15	Graph DBMS

Score	0.00
Rank	#385	Overall
	#61	Key-value stores
	#16	Vector DBMS

Score	0.13
Rank	#330	Overall
	#45	Document stores

Website

altibase.com

dgraph.io

www.jaguardb.com

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

Technical documentation

github.com/ALTIBASE/Documents/tree/master/Manuals

dgraph.io/docs

www.jaguardb.com/support.html

www.xtdb.com/docs

Developer

Altibase

Dgraph Labs, Inc.

DataJaguar, Inc.

Juxt Ltd.

Initial release

1999

2016

2015

2019

Current release

v7.3, 2023, August 2023

3.3 July 2023

1.19, September 2021

License

Commercial or Open Source

commercial

Open source edition discontinued with March 2023

Open Source

Apache 2.0

Open Source

GPL V3.0

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

C++

the server part. Clients available in other languages

Clojure

Server operating systems

AIX
HP-UX
Linux

Linux
OS X
Windows

Linux

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

Data scheme

yes

schema-free

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.

Secondary indexes

yes

SQL

Support of SQL

ANSI SQL-92

A subset of ANSI SQL is implemented

but no views, foreign keys, triggers

limited SQL, making use of Apache Calcite

APIs and other access methods

JDBC
ODBC
Proprietary protocol

GraphQL query language
gRPC (using protocol buffers) API
HTTP API

JDBC
ODBC

HTTP REST
JDBC

Supported programming languages

C
C++
Java

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

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

Clojure
Java

Server-side scripts

Stored procedures

stored procedures and stored functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

yes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Synchronous replication via Raft

Multi-source replication

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

Eventual 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

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

Planned for future releases

rights management via user accounts

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More resources

Recent citations in the news

Altibase is Adopted for Presence Service to Provide User Information and Online Presence
8 April 2019, PR Newswire

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In-memory OLAP Database Market Is Booming (CAGR of 24.95%)
26 October 2018, openPR

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10 April 2020, UB Post

In-memory OLAP Database Industry Growth Factors, Applications, and Forecast by (2024-2034)
26 September 2024, La Funcion mx

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Dgraph on AWS: Setting up a horizontally scalable graph database
1 September 2020, AWS Blog

Dgraph raises $11.5 million for scalable graph database solutions
31 July 2019, VentureBeat

Graph Database Market size to grow by USD 7.40 billion between 2022 - 2027 | Growth Driven by Lack of standardization and programming flexibility - Technavio
13 December 2023, Yahoo Finance

Dgraph Rises to the Top Graph Database on GitHub With 11 G2 Badges and 11M Downloads
26 May 2021, Business Wire

provided by Google News

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