DBMS > Apache Jena - TDB vs. Cassandra vs. IBM Db2 vs. InfluxDB vs. Teradata

System Properties Comparison Apache Jena - TDB vs. Cassandra vs. IBM Db2 vs. InfluxDB vs. Teradata

Editorial information provided by DB-Engines

Name

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

Common in IBM host environments, 2 different versions for host and Windows/Linux

DBMS for storing time series, events and metrics

A hybrid cloud data analytics software platform (Teradata Vantage)

Primary database model

RDF store

Wide column store

Relational DBMS

Since Version 10.5 support for JSON/BSON documents compatible with MongoDB

Time Series DBMS

Relational DBMS

Secondary database models

Vector DBMS

starting with release V5

Document store
RDF store

in Db2 LUW (Linux, Unix, Windows)
Spatial DBMS

with Db2 Spatial Extender

Spatial DBMS

with GEO package

Document store
Graph DBMS
Spatial DBMS
Time Series DBMS

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

Score	3.75
Rank	#84	Overall
	#3	RDF stores

Score	101.89
Rank	#12	Overall
	#1	Wide column stores

Score	128.46
Rank	#8	Overall
	#5	Relational DBMS

Score	25.83
Rank	#28	Overall
	#1	Time Series DBMS

Score	45.33
Rank	#21	Overall
	#15	Relational DBMS

Website

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

cassandra.apache.org

www.ibm.com/products/db2

www.influxdata.com/products/influxdb-overview

www.teradata.com

Technical documentation

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

cassandra.apache.org/doc/latest

www.ibm.com/docs/en/db2

docs.influxdata.com/influxdb

docs.teradata.com

Developer

Apache Software Foundation

originally developed by HP Labs

Apache Software Foundation

Apache top level project, originally developped by Facebook

IBM

Teradata

Initial release

2000

2008

1983

host version

2013

1984

Current release

4.9.0, July 2023

4.1.3, July 2023

12.1, October 2016

2.7.6, April 2024

Teradata Vantage 1.0 MU2, January 2019

License

Commercial or Open Source

Open Source

Apache License, Version 2.0

Open Source

Apache version 2

commercial

free version is available

Open Source

MIT-License; commercial enterprise version available

commercial

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.

Astra DB: Multi-cloud DBaaS built on Apache Cassandra.

Implementation language

Java

C and C++

Server operating systems

All OS with a Java VM

BSD
Linux
OS X
Windows

AIX
HP-UX
Linux
Solaris
Windows
z/OS

Linux
OS X

through Homebrew

hosted
Linux

Data scheme

yes

RDF Schemas

schema-free

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

Numeric data and Strings

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.

yes

Secondary indexes

yes

restricted

only equality queries, not always the best performing solution

yes

Join-index to prejoin tables, aggregate index, sparse index, hash index

SQL

Support of SQL

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

yes

SQL-like query language

yes

SQL 2016 + extensions

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

ADO.NET
JDBC
JSON style queries

MongoDB compatible
ODBC
XQuery

HTTP API
JSON over UDP

.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB

Supported programming languages

Java

C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript

Node.js
Perl
PHP
Python
Ruby
Scala

C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic

.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala

C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby

Server-side scripts

Stored procedures

yes

UDFs, stored procedures, table functions in parallel

Triggers

yes

via event handler

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

no "single point of failure"

Sharding

only with Windows/Unix/Linux Version

Sharding

in enterprise version only

Sharding

Hashing

Replication methods

Methods for redundantly storing data on multiple nodes

none

selectable replication factor

Representation of geographical distribution of servers is possible

yes

with separate tools (MQ, InfoSphere)

selectable replication factor

in enterprise version only

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

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

Foreign keys

Referential integrity

yes

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

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

Depending on used storage engine

yes

User concepts

Access control

Access control via Jena Security

Access rights for users can be defined per object

fine grained access rights according to SQL-standard

simple rights management via user accounts

fine grained access rights according to SQL-standard

More information provided by the system vendor

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