DBMS > Alibaba Cloud MaxCompute vs. Axibase vs. Microsoft SQL Server vs. RDF4J

System Properties Comparison Alibaba Cloud MaxCompute vs. Axibase vs. Microsoft SQL Server vs. RDF4J

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Editorial information provided by DB-Engines

Name

Description

MaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousing

Scalable TimeSeries DBMS based on HBase with integrated rule engine and visualization

Microsofts relational DBMS

RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.

Primary database model

Relational DBMS info

a graph-processing framework is available with the graphs being stored in tables

Time Series DBMS

Relational DBMS

RDF store

Secondary database models

Document store
Graph DBMS

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

Score	0.48
Rank	#222	Overall
	#106	Relational DBMS

Score	0.28
Rank	#261	Overall
	#19	Time Series DBMS

Score	1075.87
Rank	#3	Overall
	#3	Relational DBMS

Score	0.50
Rank	#220	Overall
	#9	RDF stores

Website

www.alibabacloud.com/product/maxcompute

axibase.com/products/axibase-time-series-database

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

rdf4j.org

Technical documentation

www.alibabacloud.com/help/product/27797.htm

github.com/axibase/atsd

docs.microsoft.com/en-ie/sql/sql-server/sql-server-technical-documentation

rdf4j.org/documentation

Developer

Alibaba

Axibase Corporation

Microsoft

Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.

Initial release

2016

2013

1989

2004

Current release

15585

SQL Server 2019, November 2019

License

Commercial or Open Source

commercial

commercial info

Community Edition (single node) is free, Enterprise Edition (distributed) is paid

commercial info

restricted free version is available

Open Source info

Eclipse Distribution License (EDL), v1.0.

Cloud-based only info

Only available as a cloud service

yes

DBaaS offerings (sponsored links) info

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

C++

Java

Server operating systems

hosted

Linux

Linux
Windows

Linux
OS X
Unix
Windows

Data scheme

yes

RDF Schemas

Typing

predefined data types such as float or date

yes

short, integer, long, float, double, decimal, string

yes

XML support info

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

SQL-like query language

yes

APIs and other access methods

Fluentd
Flume
MaxCompute Console

JDBC
Proprietary protocol (Network API)
RESTful HTTP API

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

Java API
RIO info

RDF Input/Output
Sail API
SeRQL info

Sesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL

Supported programming languages

Java

Go
Java
PHP
Python
R
Ruby

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

Java
PHP
Python

Server-side scripts info

Stored procedures

user defined functions info

in Java

yes

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

yes

Triggers

yes

Partitioning methods info

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

Sharding

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

none

Replication methods info

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

Source-replica replication

yes, but depending on the SQL-Server Edition

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys info

Referential integrity

yes

Transaction concepts info

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

ACID

Isolation support depends on the API used

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

in-memory storage is supported as well

In-memory capabilities info

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

yes

User concepts info

Access control

Access rights for users and roles

fine grained access rights according to SQL-standard

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