DBMS > Apache Jena - TDB vs. Apache Pinot vs. Coveo vs. SAP HANA

System Properties Comparison Apache Jena - TDB vs. Apache Pinot vs. Coveo vs. SAP HANA

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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

Realtime distributed OLAP datastore, designed to answer OLAP queries with low latency

AI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code development

In-memory, column based data store. Available as appliance or cloud service

Primary database model

Secondary database models

Document store
Graph DBMS

with SAP Hana, Enterprise Edition
Spatial DBMS

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

Score	3.75
Rank	#84	Overall
	#3	RDF stores

Score	0.40
Rank	#270	Overall
	#125	Relational DBMS

Score	2.28
Rank	#114	Overall
	#11	Search engines

Score	44.69
Rank	#22	Overall
	#16	Relational DBMS

Website

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

pinot.apache.org

www.coveo.com

www.sap.com/products/hana.html

Technical documentation

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

docs.pinot.apache.org

docs.coveo.com

help.sap.com/hana

Developer

Apache Software Foundation

originally developed by HP Labs

Apache Software Foundation and contributors

Coveo

SAP

Initial release

2000

2015

2012

2010

Current release

4.9.0, July 2023

1.0.0, September 2023

2.0 SPS07 (April 4, 2023), April 2023

License

Commercial or Open Source

Open Source

Apache License, Version 2.0

Open Source

Apache Version 2.0

commercial

Cloud-based only

Only available as a cloud service

yes

also available as a cloud based service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

Server operating systems

All OS with a Java VM

All OS with a Java JDK11 or higher

hosted

Appliance or cloud-service

Data scheme

yes

RDF Schemas

yes

hybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configuration

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

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

JDBC

RESTful HTTP API

JDBC
ODBC

Supported programming languages

Java

Go
Java
Python

C#
Java
JavaScript
Python

Server-side scripts

Stored procedures

yes

SQLScript, R

Triggers

yes

via event handler

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

yes

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

TDB Transactions

yes

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

User concepts

Access control

Access control via Jena Security

granular access controls, API key management, content filters

yes

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