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

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

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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

Microsofts relational DBMS

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

TiDB is an open source distributed Hybrid Transactional/Analytical Processing (HTAP) database that supports MySQL and Spark SQL syntaxes.

Primary database model

Relational DBMS

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

Relational DBMS

RDF store

Relational DBMS

Secondary database models

Document store
Graph DBMS

Document store

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

Score	0.74
Rank	#196	Overall
	#98	Relational DBMS

Score	1015.30
Rank	#3	Overall
	#3	Relational DBMS

Score	0.50
Rank	#232	Overall
	#9	RDF stores

Score	2.08
Rank	#115	Overall
	#56	Relational DBMS

Website

www.alibabacloud.com/product/maxcompute

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

rdf4j.org

pingcap.com

Technical documentation

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

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

rdf4j.org/documentation

docs.pingcap.com/tidb/stable

Developer

Alibaba

Microsoft

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

PingCAP, Inc.

Initial release

2016

1989

2004

2016

Current release

SQL Server 2019, November 2019

4.0.10 , January 2021

License

Commercial or Open Source

commercial

restricted free version is available

Open Source

Eclipse Distribution License (EDL), v1.0.

Open Source

Apache 2.0

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

TiDB Cloud: Fully-managed TiDB Service. Bring everything great about TiDB to the cloud.

Implementation language

C++

Java

Go, Rust

Server operating systems

hosted

Linux
Windows

Linux
OS X
Unix
Windows

Linux

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.

yes

Secondary indexes

yes

SQL

Support of SQL

SQL-like query language

yes

APIs and other access methods

Fluentd
Flume
MaxCompute Console

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

Java API
RIO

RDF Input/Output
Sail API
SeRQL

Sesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL

JDBC
ODBC
Proprietary protocol

Supported programming languages

Java

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

Java
PHP
Python

Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

Server-side scripts

Stored procedures

user defined functions

in Java

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

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

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

none

horizontal partitioning (by key range)

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

yes, but depending on the SQL-Server Edition

none

Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

with TiSpark Connector

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

currently only supported in syntax

Transaction concepts

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

ACID

Isolation support depends on the API used

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

in-memory storage is supported as well

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 for users and roles

fine grained access rights according to SQL-standard

Users with fine-grained authorization concept. No user groups or roles.

More information provided by the system vendor

Specific characteristics

TiDB is an open-source NewSQL database built by PingCAP. TiDB supports Hybrid Transactional...
» more

Competitive advantages

In the current database landscape, infrastructure engineers often have to use one...
» more

Typical application scenarios

TiDB is designed to support both OLTP and OLAP scenarios. You can use TiDB , the...
» more

Key customers

Shopee (E-commerce) BookMyShow.com (E-commerce) Yiguo.com (E-commerce) JD Cloud &...
» more

Market metrics

25K+ GitHub Stars for TiDB, and 8K+ GitHub Stars for TiKV 1.6K+ members in TiDB Community...
» more

Licensing and pricing models

Open Source Apache 2.0 with either commercial licensing or fully-hosted DB-as-a-service...
» more

News

Announcing the TiDB Hacking Camp
5 March 2021

tidb-lite: A go-sqlmock Alternative for Easily Unit Testing Golang Database-Related Code
4 March 2021

TiGraph: 8,700x Computing Performance Achieved by Combining Graphs + the RDBMS Syntax
23 February 2021

How to Efficiently Choose the Right Database for Your Applications
16 February 2021

TiDB on JD Cloud: A Cloud-native Distributed Database Service
9 February 2021

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.