DBMS > Apache Doris vs. Apache Jena - TDB vs. Microsoft Azure Synapse Analytics

System Properties Comparison Apache Doris vs. Apache Jena - TDB vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines

Name

Description

An MPP-based analytics DBMS embracing the MySQL protocol

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

Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server

Primary database model

Relational DBMS

RDF store

Relational DBMS

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

Score	0.60
Rank	#247	Overall
	#113	Relational DBMS

Score	3.62
Rank	#83	Overall
	#3	RDF stores

Score	19.93
Rank	#31	Overall
	#19	Relational DBMS

Website

doris.apache.org
github.com/apache/doris

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

azure.microsoft.com/services/synapse-analytics

Technical documentation

github.com/apache/doris/wiki

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

docs.microsoft.com/azure/synapse-analytics

Developer

Apache Software Foundation, originally contributed from Baidu

Apache Software Foundation

originally developed by HP Labs

Microsoft

Initial release

2017

2000

2016

Current release

1.2.2, February 2023

4.9.0, July 2023

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

Apache License, Version 2.0

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

C++

Server operating systems

Linux

All OS with a Java VM

hosted

Data scheme

yes

RDF Schemas

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

yes

APIs and other access methods

JDBC
MySQL client

Fuseki

REST-style SPARQL HTTP Interface
Jena RDF API
RIO

RDF Input/Output

ADO.NET
JDBC
ODBC

Supported programming languages

Java

C#
Java
PHP

Server-side scripts

Stored procedures

user defined functions

yes

Transact SQL

Triggers

yes

via event handler

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

none

Sharding, horizontal partitioning

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

docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-table-constraints

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

In-memory capabilities

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

User concepts

Access control

fine grained access rights according to SQL-standard

Access control via Jena Security

yes

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