DBMS > Ingres vs. KairosDB vs. OushuDB vs. SAP HANA

System Properties Comparison Ingres vs. KairosDB vs. OushuDB vs. SAP HANA

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Editorial information provided by DB-Engines

Name

Description

Well established RDBMS

Distributed Time Series DBMS based on Cassandra or H2

A data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning

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

Primary database model

Relational DBMS

Time Series DBMS

Relational DBMS

Secondary database models

Document store
Graph DBMS

with SAP Hana, Enterprise Edition
Spatial DBMS

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

Score	3.80
Rank	#82	Overall
	#44	Relational DBMS

Score	0.67
Rank	#233	Overall
	#20	Time Series DBMS

Score	0.10
Rank	#355	Overall
	#154	Relational DBMS

Score	44.27
Rank	#23	Overall
	#16	Relational DBMS

Website

www.actian.com/databases/ingres

github.com/kairosdb/kairosdb

www.oushu.com/product/oushuDB

www.sap.com/products/hana.html

Technical documentation

docs.actian.com/ingres

kairosdb.github.io

www.oushu.com/documentation

help.sap.com/hana

Developer

Actian Corporation

Oushu

SAP

Initial release

1974

originally developed at University Berkely in early 1970s

2013

2010

Current release

11.2, May 2022

1.2.2, November 2018

4.0.1, August 2020

2.0 SPS07 (April 4, 2023), April 2023

License

Commercial or Open Source

commercial

Open Source

Apache 2.0

commercial

Cloud-based only

Only available as a cloud service

also available as a cloud based service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java

Server operating systems

AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows

Linux
OS X
Windows

Linux

Appliance or cloud-service

Data scheme

yes

schema-free

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

Full-featured ANSI SQL support

yes

APIs and other access methods

.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)

Graphite protocol
HTTP REST
Telnet API

JDBC
ODBC

Supported programming languages

Java
JavaScript

Node.js
PHP
Python

C
C++

Server-side scripts

Stored procedures

yes

SQLScript, R

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

Ingres Star to access multiple databases simultaneously

Sharding

based on Cassandra

yes

Replication methods

Methods for redundantly storing data on multiple nodes

Ingres Replicator

selectable replication factor

based on Cassandra

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

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

simple password-based access control

Kerberos, SSL and role based access

yes

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