DBMS > AllegroGraph vs. Dolt vs. XTDB

System Properties Comparison AllegroGraph vs. Dolt vs. XTDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

High performance, persistent RDF store with additional support for Graph DBMS

A MySQL compatible DBMS with Git-like versioning of data and schema

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

Primary database model

Document store

with version 6.5
Graph DBMS
RDF store
Vector DBMS

Relational DBMS

Document store

Secondary database models

Spatial DBMS

Document store

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

Score	0.72
Rank	#216	Overall
	#36	Document stores
	#19	Graph DBMS
	#8	RDF stores
	#15	Vector DBMS

Score	0.60
Rank	#232	Overall
	#106	Relational DBMS

Score	0.20
Rank	#314	Overall
	#46	Document stores

Website

allegrograph.com

github.com/dolthub/dolt
www.dolthub.com

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

Technical documentation

franz.com/agraph/support/documentation/current/agraph-introduction.html

docs.dolthub.com

www.xtdb.com/docs

Developer

Franz Inc.

DoltHub Inc

Juxt Ltd.

Initial release

2004

2018

2019

Current release

8.0, December 2023

1.19, September 2021

License

Commercial or Open Source

commercial

Limited community edition free

Open Source

Apache Version 2.0

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

Clojure

Server operating systems

Linux
OS X
Windows

Linux
macOS
Windows

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

Data scheme

yes

RDF schemas

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.

bulk load of XML files possible

Secondary indexes

yes

SQL

Support of SQL

SPARQL is used as query language

yes

limited SQL, making use of Apache Calcite

APIs and other access methods

RESTful HTTP API
SPARQL

CLI Client
HTTP REST

HTTP REST
JDBC

Supported programming languages

C#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala

Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

Clojure
Java

Server-side scripts

Stored procedures

yes

JavaScript or Common Lisp

yes

currently in alpha release

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

with Federation

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

A database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.

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 or Eventual Consistency depending on configuration

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.

User concepts

Access control

Users with fine-grained authorization concept, user roles and pluggable authentication

Only one user is configurable, and must be specified in the config file at startup

More information provided by the system vendor

News

Bloor Research – Vector Database Report
8 April 2025

Beyond STIX: Next-Level Cyber-Threat Intelligence
27 March 2025

Powering GenAI Apps with Knowledge Graphs
19 March 2025

100 Companies that Matter – Franz Inc.
17 March 2025

Why Agentic AI Needs Neuro-Symbolic Knowledge Graphs for Enterprise Intelligence
3 March 2025

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

Neuro-Symbolic AI: The Peak of Artificial Intelligence
16 November 2021, AiThority

Q&A: Can Neuro-Symbolic AI Solve AI’s Weaknesses?
8 April 2024, TDWI

Beyond STIX: Next-Level Cyber-Threat Intelligence
26 March 2025, Dark Reading

The key to quantum computing AI applications: Flexible programming languages
2 July 2022, VentureBeat

Is Deep Learning too superficial?
27 September 2018, AI Business

provided by Google News

An open-source data storage and visualization platform for collaborative qubit control
30 September 2024, Nature

Top 100+ Essential Data Science Tools & Repos: Streamline Your Workflow Today!
17 October 2024, Packt

7 Modern SQL Databases You Must Know in 2024
28 June 2024, KDnuggets

Git-for-Data, Version-Controlled Database Dolt Gets PostgreSQL-Flavor
25 November 2023, infoq.com

Radar Trends to Watch: July 2022
5 July 2022, O'Reilly Media

provided by Google News

Share this page