DBMS > Apache Doris vs. Ingres vs. SAP HANA vs. TDSQL for MySQL

System Properties Comparison Apache Doris vs. Ingres vs. SAP HANA vs. TDSQL for MySQL

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Editorial information provided by DB-Engines

Name

Description

An MPP-based analytics DBMS embracing the MySQL protocol

Well established RDBMS

In-memory, column based data store. Available as appliance or cloud service

A high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.

Primary database model

Relational DBMS

Secondary database models

Document store
Graph DBMS

with SAP Hana, Enterprise Edition
Spatial DBMS

Document store
Spatial DBMS

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

Score	0.57
Rank	#244	Overall
	#113	Relational DBMS

Score	4.11
Rank	#81	Overall
	#44	Relational DBMS

Score	44.69
Rank	#22	Overall
	#16	Relational DBMS

Score	0.85
Rank	#205	Overall
	#95	Relational DBMS

Website

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

www.actian.com/databases/ingres

www.sap.com/products/hana.html

www.tencentcloud.com/products/dcdb

Technical documentation

github.com/apache/doris/wiki

docs.actian.com/ingres

help.sap.com/hana

www.tencentcloud.com/document/product/1042

Developer

Apache Software Foundation, originally contributed from Baidu

Actian Corporation

SAP

Tencent

Initial release

2017

1974

originally developed at University Berkely in early 1970s

2010

2013

Current release

1.2.2, February 2023

11.2, May 2022

2.0 SPS07 (April 4, 2023), April 2023

License

Commercial or Open Source

Open Source

Apache Version 2.0

commercial

Cloud-based only

Only available as a cloud service

also available as a cloud based service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

Server operating systems

Linux

AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows

Appliance or cloud-service

hosted

Data scheme

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.

but tools for importing/exporting data from/to XML-files available

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

JDBC
MySQL client

.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)

JDBC
ODBC

Supported programming languages

Java

C
C#
C++
Java
PHP
Python
Ruby

Server-side scripts

Stored procedures

user defined functions

yes

SQLScript, R

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

Ingres Star to access multiple databases simultaneously

yes

Automatic sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

Ingres Replicator

yes

Multi-source replication
Source-replica replication

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

MVCC

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

fine grained access rights according to SQL-standard

yes

Users with fine-grained authorization concept

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