DBMS > Alibaba Cloud Table Store vs. Apache Jena - TDB vs. Microsoft SQL Server vs. SQream DB

System Properties Comparison Alibaba Cloud Table Store vs. Apache Jena - TDB vs. Microsoft SQL Server vs. SQream DB

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Editorial information provided by DB-Engines

Name

Description

A fully managed Wide Column Store for large quantities of semi-structured data with real-time access

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

Microsofts flagship relational DBMS

a GPU-based, columnar RDBMS for big data analytics workloads

Primary database model

Wide column store

RDF store

Relational DBMS

Secondary database models

Document store
Graph DBMS
Spatial DBMS

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

Score	0.25
Rank	#294	Overall
	#12	Wide column stores

Score	2.91
Rank	#93	Overall
	#3	RDF stores

Score	807.76
Rank	#3	Overall
	#3	Relational DBMS

Score	0.62
Rank	#234	Overall
	#109	Relational DBMS

Website

www.alibabacloud.com/product/table-store

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

www.microsoft.com/en-us/sql-server

sqream.com

Technical documentation

www.alibabacloud.com/help/en/tablestore

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

learn.microsoft.com/en-US/sql/sql-server

docs.sqream.com

Developer

Alibaba

Apache Software Foundation

originally developed by HP Labs

Microsoft

SQream Technologies

Initial release

2016

2000

1989

2017

Current release

4.9.0, July 2023

SQL Server 2022, November 2022

2022.1.6, December 2022

License

Commercial or Open Source

commercial

Open Source

Apache License, Version 2.0

commercial

restricted free version is available

commercial

Cloud-based only

Only available as a cloud service

yes

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Implementation language

Java

C++

C++, CUDA, Haskell, Java, Scala

Server operating systems

hosted

All OS with a Java VM

Linux
Windows

Linux

Data scheme

schema-free

yes

RDF Schemas

yes

Typing

predefined data types such as float or date

yes

yes, ANSI Standard SQL Types

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

SQL

Support of SQL

yes

APIs and other access methods

HTTP API

Fuseki

REST-style SPARQL HTTP Interface
Jena RDF API
RIO

RDF Input/Output

ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)

.Net
JDBC
ODBC

Supported programming languages

Java
Python

Java

C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic

C++
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

yes

Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java

user defined functions in Python

Triggers

yes

via event handler

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

none

tables can be distributed across several files (horizontal partitioning); sharding through federation

horizontal and vertical partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

none

yes, but depending on the SQL-Server Edition

none

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

Atomic single-row operations

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.

yes

User concepts

Access control

Access rights based on subaccounts and tokens

Access control via Jena Security

fine grained access rights according to SQL-standard

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