DBMS > Apache Jena - TDB vs. Apache Kylin vs. Databend vs. SiriDB vs. Yaacomo

System Properties Comparison Apache Jena - TDB vs. Apache Kylin vs. Databend vs. SiriDB vs. Yaacomo

Editorial information provided by DB-Engines

Name

Yaacomo seems to be discontinued and is removed from the DB-Engines ranking

Description

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

A distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stack

An open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexity

Open Source Time Series DBMS

OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing

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	1.25
Rank	#170	Overall
	#77	Relational DBMS

Score	0.34
Rank	#283	Overall
	#130	Relational DBMS

Score	0.07
Rank	#378	Overall
	#42	Time Series DBMS

Website

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

kylin.apache.org

github.com/datafuselabs/databend
www.databend.com

siridb.com

yaacomo.com

Technical documentation

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

kylin.apache.org/docs

docs.databend.com

docs.siridb.com

Developer

Apache Software Foundation

originally developed by HP Labs

Apache Software Foundation, originally contributed from eBay Inc

Databend Labs

Cesbit

Q2WEB GmbH

Initial release

2000

2015

2021

2017

2009

Current release

4.9.0, July 2023

3.1.0, July 2020

1.0.59, April 2023

License

Commercial or Open Source

Open Source

Apache License, Version 2.0

Open Source

Apache Version 2.0

Open Source

Apache Version 2.0

Open Source

MIT License

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.

Implementation language

Java

Rust

Server operating systems

All OS with a Java VM

Linux

hosted
Linux
macOS

Linux

Android
Linux
Windows

Data scheme

yes

RDF Schemas

yes

Typing

predefined data types such as float or date

yes

Numeric data

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

ANSI SQL for queries (using Apache Calcite)

yes

APIs and other access methods

Fuseki

REST-style SPARQL HTTP Interface
Jena RDF API
RIO

RDF Input/Output

JDBC
ODBC
RESTful HTTP API

CLI Client
JDBC
RESTful HTTP API

HTTP API

JDBC
ODBC

Supported programming languages

Java

Go
Java
JavaScript (Node.js)
Python
Rust

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

Server-side scripts

Stored procedures

yes

Triggers

yes

via event handler

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

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

Users with fine-grained authorization concept, user roles

simple rights management via user accounts

fine grained access rights according to SQL-standard

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