DBMS > Apache Jena - TDB vs. ArcadeDB vs. Brytlyt vs. Drizzle vs. Riak TS

System Properties Comparison Apache Jena - TDB vs. ArcadeDB vs. Brytlyt vs. Drizzle vs. Riak TS

Editorial information provided by DB-Engines

Name

Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle 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

Fast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewritten

Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQL

MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.

Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KV

Primary database model

RDF store

Document store
Graph DBMS
Key-value store
Time Series DBMS

in next version

Relational 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	0.02
Rank	#366	Overall
	#50	Document stores
	#38	Graph DBMS
	#53	Key-value stores
	#36	Time Series DBMS

Score	0.29
Rank	#288	Overall
	#131	Relational DBMS

Score	0.20
Rank	#319	Overall
	#27	Time Series DBMS

Website

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

arcadedb.com

brytlyt.io

Technical documentation

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

docs.arcadedb.com

docs.brytlyt.io

www.tiot.jp/riak-docs/riak/ts/latest

Developer

Apache Software Foundation

originally developed by HP Labs

Arcade Data

Brytlyt

Drizzle project, originally started by Brian Aker

Open Source, formerly Basho Technologies

Initial release

2000

2021

2016

2008

2015

Current release

4.9.0, July 2023

September 2021

5.0, August 2023

7.2.4, September 2012

3.0.0, September 2022

License

Commercial or Open Source

Open Source

Apache License, Version 2.0

Open Source

Apache Version 2.0

commercial

Open Source

GNU GPL

Open Source

Cloud-based only

Only available as a cloud service

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Implementation language

Java

C, C++ and CUDA

C++

Erlang

Server operating systems

All OS with a Java VM

Linux
OS X
Windows

FreeBSD
Linux
OS X

Linux
OS X

Data scheme

yes

RDF Schemas

schema-free

yes

schema-free

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.

yes

specific XML-type available, but no XML query functionality.

Secondary indexes

yes

restricted

SQL

Support of SQL

SQL-like query language, no joins

yes

with proprietary extensions

yes, limited

APIs and other access methods

Fuseki

REST-style SPARQL HTTP Interface
Jena RDF API
RIO

RDF Input/Output

JDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

JDBC

HTTP API
Native Erlang Interface

Supported programming languages

Java

.Net
C
C++
Delphi
Java
Perl
Python
Tcl

C
C++
Java
PHP

unofficial client library
C#
C++

unofficial client library
Clojure

unofficial client library
Dart

unofficial client library
Erlang
Go

unofficial client library
Groovy

unofficial client library
Haskell

unofficial client library
Java
JavaScript

unofficial client library
Lisp

unofficial client library
Perl

unofficial client library
PHP
Python
Ruby
Scala

unofficial client library
Smalltalk

unofficial client library

Server-side scripts

Stored procedures

yes

user defined functions

in PL/pgSQL

Erlang

Triggers

yes

via event handler

yes

hooks for callbacks inside the server can be used.

yes

pre-commit hooks and post-commit hooks

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

Source-replica replication

Multi-source replication
Source-replica replication

selectable replication factor

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

yes

relationship in graphs

yes

links between datasets can be stored

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

Durability

Support for making data persistent

yes

User concepts

Access control

Access control via Jena Security

fine grained access rights according to SQL-standard

Pluggable authentication mechanisms

e.g. LDAP, HTTP

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