DBMS > Blueflood vs. gStore vs. HyperSQL vs. Ingres vs. SAP SQL Anywhere

System Properties Comparison Blueflood vs. gStore vs. HyperSQL vs. Ingres vs. SAP SQL Anywhere

Editorial information provided by DB-Engines

Name

Description

Scalable TimeSeries DBMS based on Cassandra

A native Graph DBMS to store and maintain very large RDF datasets.

Multithreaded, transactional RDBMS written in Java

also known as HSQLDB

Well established RDBMS

RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments

Primary database model

Time Series DBMS

Graph DBMS
RDF store

Relational DBMS

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

Score	0.13
Rank	#346	Overall
	#33	Time Series DBMS

Score	0.14
Rank	#342	Overall
	#34	Graph DBMS
	#16	RDF stores

Score	3.23
Rank	#93	Overall
	#48	Relational DBMS

Score	3.80
Rank	#82	Overall
	#44	Relational DBMS

Score	3.95
Rank	#80	Overall
	#42	Relational DBMS

Website

blueflood.io

en.gstore.cn

hsqldb.org

www.actian.com/databases/ingres

www.sap.com/products/technology-platform/sql-anywhere.html

Technical documentation

github.com/rax-maas/blueflood/wiki

en.gstore.cn/#/enDocs

hsqldb.org/web/hsqlDocsFrame.html

docs.actian.com/ingres

help.sap.com/docs/SAP_SQL_Anywhere

Developer

Rackspace

Actian Corporation

SAP

formerly Sybase

Initial release

2013

2016

2001

1974

originally developed at University Berkely in early 1970s

1992

Current release

1.2, November 2023

2.7.2, June 2023

11.2, May 2022

17, July 2015

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

BSD

Open Source

based on BSD license

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java

C++

Java

Server operating systems

Linux
OS X

Linux

All OS with a Java VM

Embedded (into Java applications) and Client-Server operating modes

AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows

AIX
HP-UX
Linux
OS X
Solaris
Windows

Data scheme

predefined scheme

schema-free and OWL/RDFS-schema support

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

yes

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

HTTP REST

HTTP API
SPARQL 1.1

HTTP API

JDBC via HTTP
JDBC
ODBC

.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)

ADO.NET
HTTP API
JDBC
ODBC

Supported programming languages

C++
Java
JavaScript (Node.js)
PHP
Python

All languages supporting JDBC/ODBC
Java

C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby

Server-side scripts

Stored procedures

yes

Java, SQL

yes

yes, in C/C++, Java, .Net or Perl

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

based on Cassandra

none

horizontal partitioning

Ingres Star to access multiple databases simultaneously

none

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

based on Cassandra

none

Ingres Replicator

Source-replica replication

Database mirroring

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

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

yes

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

Users, roles and permissions, Role-Based Access Control (RBAC) supported

fine grained access rights according to SQL-standard

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