DBMS > AllegroGraph vs. Sphinx vs. TempoIQ

System Properties Comparison AllegroGraph vs. Sphinx vs. TempoIQ

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Editorial information provided by DB-Engines

Name

TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.

Description

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

Open source search engine for searching in data from different sources, e.g. relational databases

Scalable analytics DBMS for sensor data, provided as a service (SaaS)

Primary database model

Document store

with version 6.5
Graph DBMS
RDF store
Vector DBMS

Search engine

Time Series DBMS

Secondary database models

Spatial DBMS

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

Score	0.71
Rank	#217	Overall
	#36	Document stores
	#18	Graph DBMS
	#7	RDF stores
	#15	Vector DBMS

Score	5.79
Rank	#56	Overall
	#5	Search engines

Website

allegrograph.com

sphinxsearch.com

tempoiq.com (offline)

Technical documentation

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

sphinxsearch.com/docs

Developer

Franz Inc.

Sphinx Technologies Inc.

TempoIQ

Initial release

2004

2001

2012

Current release

8.0, December 2023

3.5.1, February 2023

License

Commercial or Open Source

commercial

Limited community edition free

Open Source

GPL version 2, commercial licence available

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++

Server operating systems

Linux
OS X
Windows

FreeBSD
Linux
NetBSD
OS X
Solaris
Windows

Data scheme

yes

RDF schemas

yes

schema-free

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.

bulk load of XML files possible

Secondary indexes

yes

full-text index on all search fields

SQL

Support of SQL

SPARQL is used as query language

SQL-like query language (SphinxQL)

APIs and other access methods

RESTful HTTP API
SPARQL

Proprietary protocol

HTTP API

Supported programming languages

C#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala

C++

unofficial client library
Java
Perl

unofficial client library
PHP
Python
Ruby

unofficial client library

C#
Java
JavaScript

Node.js
Python
Ruby

Server-side scripts

Stored procedures

yes

JavaScript or Common Lisp

Triggers

yes

Realtime Alerts

Partitioning methods

Methods for storing different data on different nodes

with Federation

Sharding

Partitioning is done manually, search queries against distributed index is supported

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

none

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

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

The original contents of fields are not stored in the Sphinx index.

yes

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

simple authentication-based access control

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

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