DBMS > Altibase vs. Heroic vs. Oracle Rdb vs. OushuDB vs. SAP HANA

System Properties Comparison Altibase vs. Heroic vs. Oracle Rdb vs. OushuDB vs. SAP HANA

Editorial information provided by DB-Engines

Name

Description

An enterprise grade, high-performance RDBMS

Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch

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	1.02
Rank	#189	Overall
	#88	Relational DBMS

Score	0.46
Rank	#265	Overall
	#22	Time Series DBMS

Score	1.14
Rank	#178	Overall
	#80	Relational DBMS

Score	0.10
Rank	#355	Overall
	#154	Relational DBMS

Score	44.27
Rank	#23	Overall
	#16	Relational DBMS

Website

altibase.com

github.com/spotify/heroic

www.oracle.com/database/technologies/related/rdb.html

www.oushu.com/product/oushuDB

www.sap.com/products/hana.html

Technical documentation

github.com/ALTIBASE/Documents/tree/master/Manuals

spotify.github.io/heroic

www.oracle.com/database/technologies/related/rdb-doc.html

www.oushu.com/documentation

help.sap.com/hana

Developer

Altibase

Spotify

Oracle, originally developed by Digital Equipment Corporation (DEC)

Oushu

SAP

Initial release

1999

2014

1984

2010

Current release

v7.3, 2023, August 2023

7.4.1.1, 2021

4.0.1, August 2020

2.0 SPS07 (April 4, 2023), April 2023

License

Commercial or Open Source

commercial

Open source edition discontinued with March 2023

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

C++

Java

Server operating systems

AIX
HP-UX
Linux

HP Open VMS

Linux

Appliance or cloud-service

Data scheme

yes

schema-free

Flexible Schema (defined schema, partial schema, 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.

Secondary indexes

yes

via Elasticsearch

yes

SQL

Support of SQL

ANSI SQL-92

yes

Full-featured ANSI SQL support

yes

APIs and other access methods

JDBC
ODBC
Proprietary protocol

HQL (Heroic Query Language, a JSON-based language)
HTTP API

JDBC
ODBC

Supported programming languages

C
C++
Java

C
C++

Server-side scripts

Stored procedures

stored procedures and stored functions

yes

SQLScript, R

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

yes

Replication methods

Methods for redundantly storing data on multiple nodes

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
Immediate Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

yes, on a single node

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

fine grained access rights according to SQL-standard

Kerberos, SSL and role based access

yes

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