DBMS > Apache Jena - TDB vs. Hyprcubd vs. Ingres vs. Microsoft Azure Synapse Analytics vs. Ultipa

System Properties Comparison Apache Jena - TDB vs. Hyprcubd vs. Ingres vs. Microsoft Azure Synapse Analytics vs. Ultipa

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

Serverless Time Series DBMS

Well established RDBMS

Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server

High performance Graph DBMS supporting HTAP high availability cluster deployment

Primary database model

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

Score	3.62
Rank	#83	Overall
	#3	RDF stores

Score	3.80
Rank	#82	Overall
	#44	Relational DBMS

Score	19.93
Rank	#31	Overall
	#19	Relational DBMS

Score	0.19
Rank	#330	Overall
	#30	Graph DBMS

Website

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

hyprcubd.com (offline)

www.actian.com/databases/ingres

azure.microsoft.com/services/synapse-analytics

www.ultipa.com

Technical documentation

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

docs.actian.com/ingres

docs.microsoft.com/azure/synapse-analytics

www.ultipa.com/document

Developer

Apache Software Foundation

originally developed by HP Labs

Hyprcubd, Inc.

Actian Corporation

Microsoft

Ultipa

Initial release

2000

1974

originally developed at University Berkely in early 1970s

2016

2019

Current release

4.9.0, July 2023

11.2, May 2022

License

Commercial or Open Source

Open Source

Apache License, Version 2.0

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

Java

C++

Server operating systems

All OS with a Java VM

hosted

AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows

hosted

Data scheme

yes

RDF Schemas

yes

Typing

predefined data types such as float or date

yes

time, int, uint, float, string

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.

but tools for importing/exporting data from/to XML-files available

Secondary indexes

yes

SQL

Support of SQL

SQL-like query language

yes

APIs and other access methods

Fuseki

REST-style SPARQL HTTP Interface
Jena RDF API
RIO

RDF Input/Output

gRPC (https)

.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)

ADO.NET
JDBC
ODBC

RESTful HTTP API

Supported programming languages

Java

C#
Java
PHP

C++
Go
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

yes

Transact SQL

Triggers

yes

via event handler

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

Ingres Star to access multiple databases simultaneously

Sharding, horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

Ingres Replicator

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-table-constraints

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

MVCC

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.

User concepts

Access control

Access control via Jena Security

token access

fine grained access rights according to SQL-standard

yes

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