DBMS > Apache Jena - TDB vs. Cassandra vs. GridGain vs. Hazelcast vs. Hyprcubd

System Properties Comparison Apache Jena - TDB vs. Cassandra vs. GridGain vs. Hazelcast vs. Hyprcubd

Editorial information provided by DB-Engines

Name

Hyprcubd 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

Wide-column store based on ideas of BigTable and DynamoDB

Optimized for write access

GridGain is an in-memory computing platform, built on Apache Ignite

A widely adopted in-memory data grid

Serverless Time Series DBMS

Primary database model

RDF store

Wide column store

Key-value store
Relational DBMS

Key-value store

Time Series DBMS

Secondary database models

Vector DBMS

starting with release V5

Document store

JSON support with IMDG 3.12

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

Score	3.85
Rank	#86	Overall
	#3	RDF stores

Score	103.86
Rank	#12	Overall
	#1	Wide column stores

Score	1.53
Rank	#155	Overall
	#26	Key-value stores
	#73	Relational DBMS

Score	6.87
Rank	#55	Overall
	#6	Key-value stores

Website

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

cassandra.apache.org

www.gridgain.com

hazelcast.com

hyprcubd.com (offline)

Technical documentation

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

cassandra.apache.org/doc/latest

www.gridgain.com/docs/index.html

hazelcast.org/imdg/docs

Developer

Apache Software Foundation

originally developed by HP Labs

Apache Software Foundation

Apache top level project, originally developped by Facebook

GridGain Systems, Inc.

Hazelcast

Hyprcubd, Inc.

Initial release

2000

2008

2007

2008

Current release

4.9.0, July 2023

4.1.3, July 2023

GridGain 8.5.1

5.3.6, November 2023

License

Commercial or Open Source

Open Source

Apache License, Version 2.0

Open Source

Apache version 2

commercial

Open Source

Apache Version 2; commercial licenses available

commercial

Cloud-based only

Only available as a cloud service

yes

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Implementation language

Java

Java, C++, .Net

Java

Server operating systems

All OS with a Java VM

BSD
Linux
OS X
Windows

Linux
OS X
Solaris
Windows

All OS with a Java VM

hosted

Data scheme

yes

RDF Schemas

schema-free

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

time, int, uint, float, string

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.

yes

the object must implement a serialization strategy

Secondary indexes

yes

restricted

only equality queries, not always the best performing solution

yes

SQL

Support of SQL

SQL-like SELECT, DML and DDL statements (CQL)

ANSI-99 for query and DML statements, subset of DDL

SQL-like query language

APIs and other access methods

Fuseki

REST-style SPARQL HTTP Interface
Jena RDF API
RIO

RDF Input/Output

Proprietary protocol

CQL (Cassandra Query Language, an SQL-like language)
Thrift

HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data

JCache
JPA
Memcached protocol
RESTful HTTP API

gRPC (https)

Supported programming languages

Java

C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript

Node.js
Perl
PHP
Python
Ruby
Scala

C#
C++
Java
PHP
Python
Ruby
Scala

.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala

Server-side scripts

Stored procedures

yes

yes (compute grid and cache interceptors can be used instead)

yes

Event Listeners, Executor Services

Triggers

yes

via event handler

yes

yes (cache interceptors and events)

yes

Events

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

no "single point of failure"

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

selectable replication factor

Representation of geographical distribution of servers is possible

yes (replicated cache)

yes

Replicated Map

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

yes (compute grid and hadoop accelerator)

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

can be individually decided for each write operation

Immediate Consistency

Immediate Consistency or Eventual Consistency selectable by user

Raft Consensus Algorithm

Eventual Consistency

Foreign keys

Referential integrity

Transaction concepts

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

ACID

TDB Transactions

Atomicity and isolation are supported for single operations

ACID

one or two-phase-commit; repeatable reads; read commited

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

User concepts

Access control

Access control via Jena Security

Access rights for users can be defined per object

Security Hooks for custom implementations

Role-based access control

token access

More information provided by the system vendor

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