DBMS > Cachelot.io vs. RDFox vs. Realm vs. TigerGraph vs. ToroDB

System Properties Comparison Cachelot.io vs. RDFox vs. Realm vs. TigerGraph vs. ToroDB

Editorial information provided by DB-Engines

Name

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

Description

In-memory caching system

High performance knowledge graph and semantic reasoning engine

A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data

A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time

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

Primary database model

Secondary database models

Relational DBMS

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

Score	0.00
Rank	#383	Overall
	#60	Key-value stores

Score	0.23
Rank	#308	Overall
	#25	Graph DBMS
	#14	RDF stores

Score	7.60
Rank	#52	Overall
	#9	Document stores

Score	1.83
Rank	#139	Overall
	#13	Graph DBMS

Website

cachelot.io

www.oxfordsemantic.tech

realm.io

www.tigergraph.com

github.com/torodb/server

Technical documentation

docs.oxfordsemantic.tech

realm.io/docs

docs.tigergraph.com

Developer

Oxford Semantic Technologies

Realm, acquired by MongoDB in May 2019

8Kdata

Initial release

2015

2017

2014

2017

2016

Current release

6.0, Septermber 2022

License

Commercial or Open Source

Open Source

Simplified BSD License

commercial

Open Source

commercial

Open Source

AGPL-V3

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++

Java

Server operating systems

FreeBSD
Linux
OS X

Linux
macOS
Windows

Android
Backend: server-less
iOS
Windows

Linux

All OS with a Java 7 VM

Data scheme

schema-free

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

SQL-like query language (GSQL)

APIs and other access methods

Memcached protocol

RESTful HTTP API
SPARQL 1.1

GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API

Supported programming languages

.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby

C
Java

.Net
Java

with Android only
Objective-C
React Native
Swift

C++
Java

Server-side scripts

Stored procedures

runs within the applications so server-side scripts are unnecessary

yes

Triggers

yes

Change Listeners

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

replication via a shared file system

none

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups

Immediate Consistency

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

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

In-memory capabilities

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

yes

In-Memory realm

User concepts

Access control

Roles, resources, and access types

yes

Role-based access control

Access rights for users and roles

More information provided by the system vendor

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More resources

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2 March 2016, Paul Andlinger

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