DBMS > Apache Jena - TDB vs. Datomic vs. Microsoft Azure AI Search vs. ToroDB

System Properties Comparison Apache Jena - TDB vs. Datomic vs. Microsoft Azure AI Search vs. ToroDB

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Editorial information provided by DB-Engines

Name

ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

Description

A RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena framework

Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durability

Search-as-a-service for web and mobile app development

A MongoDB-compatible JSON document store, built on top of PostgreSQL

Primary database model

Secondary database models

Vector DBMS

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

Score	3.62
Rank	#83	Overall
	#3	RDF stores

Score	1.66
Rank	#144	Overall
	#66	Relational DBMS

Score	5.52
Rank	#59	Overall
	#6	Search engines

Website

jena.apache.org/documentation/tdb/index.html

www.datomic.com

azure.microsoft.com/en-us/services/search

github.com/torodb/server

Technical documentation

jena.apache.org/documentation/tdb/index.html

docs.datomic.com

learn.microsoft.com/en-us/azure/search

Developer

Apache Software Foundation

originally developed by HP Labs

Cognitect

Microsoft

8Kdata

Initial release

2000

2012

2015

2016

Current release

4.9.0, July 2023

1.0.6735, June 2023

License

Commercial or Open Source

Open Source

Apache License, Version 2.0

commercial

limited edition free

commercial

Open Source

AGPL-V3

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

Java

Java, Clojure

Java

Server operating systems

All OS with a Java VM

hosted

All OS with a Java 7 VM

Data scheme

yes

RDF Schemas

yes

schema-free

Typing

predefined data types such as float or date

yes

string, integer, double, boolean, date, object_id

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

APIs and other access methods

Fuseki

REST-style SPARQL HTTP Interface
Jena RDF API
RIO

RDF Input/Output

RESTful HTTP API

Supported programming languages

Java

Clojure
Java

C#
Java
JavaScript
Python

Server-side scripts

Stored procedures

yes

Transaction Functions

Triggers

yes

via event handler

By using transaction functions

Partitioning methods

Methods for storing different data on different nodes

none

But extensive use of caching in the application peers

Sharding

Implicit feature of the cloud service

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

But extensive use of caching in the application peers

yes

Implicit feature of the cloud service

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

ACID

TDB Transactions

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

using external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

recommended only for testing and development

User concepts

Access control

Access control via Jena Security

yes

using Azure authentication

Access rights for users and roles

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