DBMS > Altibase vs. Apache Jena - TDB vs. Heroic vs. IBM Db2 Event Store

System Properties Comparison Altibase vs. Apache Jena - TDB vs. Heroic vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines

Name

Description

An enterprise grade, high-performance RDBMS

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

Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch

Distributed Event Store optimized for Internet of Things use cases

Primary database model

Relational DBMS

RDF store

Time Series DBMS

Event Store
Time Series DBMS

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

Score	0.87
Rank	#200	Overall
	#93	Relational DBMS

Score	2.91
Rank	#93	Overall
	#3	RDF stores

Score	0.13
Rank	#335	Overall
	#29	Time Series DBMS

Score	0.18
Rank	#315	Overall
	#2	Event Stores
	#26	Time Series DBMS

Website

altibase.com

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

github.com/spotify/heroic

www.ibm.com/products/db2-event-store

Technical documentation

github.com/ALTIBASE/Documents/tree/master/Manuals

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

spotify.github.io/heroic

www.ibm.com/docs/en/db2-event-store

Developer

Altibase

Apache Software Foundation

originally developed by HP Labs

Spotify

IBM

Initial release

1999

2000

2014

2017

Current release

v7.3, 2023, August 2023

4.9.0, July 2023

2.0

License

Commercial or Open Source

commercial

Open source edition discontinued with March 2023

Open Source

Apache License, Version 2.0

Open Source

Apache 2.0

commercial

free developer edition available

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

C and C++

Server operating systems

AIX
HP-UX
Linux

All OS with a Java VM

Linux

Linux, macOS, Windows for the developer addition

Data scheme

yes

RDF Schemas

schema-free

yes

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.

Secondary indexes

yes

via Elasticsearch

SQL

Support of SQL

ANSI SQL-92

yes

through the embedded Spark runtime

APIs and other access methods

JDBC
ODBC
Proprietary protocol

Fuseki

REST-style SPARQL HTTP Interface
Jena RDF API
RIO

RDF Input/Output

HQL (Heroic Query Language, a JSON-based language)
HTTP API

ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API

Supported programming languages

C
C++
Java

Java

C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic

Server-side scripts

Stored procedures

stored procedures and stored functions

yes

Triggers

yes

via event handler

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

yes

Active-active shard 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

Eventual Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

TDB Transactions

Concurrency

Support for concurrent manipulation of data

yes

No - written data is immutable

Durability

Support for making data persistent

yes

Yes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage

In-memory capabilities

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

yes

User concepts

Access control

fine grained access rights according to SQL-standard

Access control via Jena Security

fine grained access rights according to SQL-standard

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