DBMS > Fujitsu Enterprise Postgres vs. HyperSQL vs. Machbase Neo vs. Sadas Engine

System Properties Comparison Fujitsu Enterprise Postgres vs. HyperSQL vs. Machbase Neo vs. Sadas Engine

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Editorial information provided by DB-Engines
Name	Fujitsu Enterprise Postgres  Xexclude from comparison	HyperSQL also known as HSQLDB  Xexclude from comparison	Machbase Neo Former name was Infiniflux  Xexclude from comparison	Sadas Engine  Xexclude from comparison
Description	Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.	Multithreaded, transactional RDBMS written in Java also known as HSQLDB	TimeSeries DBMS for AIoT and BigData	SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database model	Relational DBMS	Relational DBMS	Time Series DBMS	Relational DBMS
Secondary database models	Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.37 Rank #278   Overall #128   Relational DBMS	Score 3.23 Rank #93   Overall #48   Relational DBMS	Score 0.17 Rank #337   Overall #30   Time Series DBMS	Score 0.07 Rank #373   Overall #157   Relational DBMS
Website	www.postgresql.fastware.com	hsqldb.org	machbase.com	www.sadasengine.com
Technical documentation	www.postgresql.fastware.com/­product-manuals	hsqldb.org/­web/­hsqlDocsFrame.html	machbase.com/­dbms	www.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
Developer	PostgreSQL Global Development Group, Fujitsu Australia Software Technology		Machbase	SADAS s.r.l.
Initial release		2001	2013	2006
Current release	Fujitsu Enterprise Postgres 14, January 2022	2.7.2, June 2023	V8.0, August 2023	8.0
License Commercial or Open Source	commercial	Open Source based on BSD license	commercial free test version available	commercial free trial version available
Cloud-based only Only available as a cloud service	no	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	C	Java	C	C++
Server operating systems	Linux Windows	All OS with a Java VM Embedded (into Java applications) and Client-Server operating modes	Linux macOS Windows	AIX Linux Windows
Data scheme	yes	yes	yes	yes
Typing predefined data types such as float or date	yes	yes	yes	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.		no	no	no
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	yes	yes	SQL-like query language	yes
APIs and other access methods	ADO.NET JDBC native C library ODBC streaming API for large objects	HTTP API JDBC via HTTP JDBC ODBC	gRPC HTTP REST JDBC MQTT (Message Queue Telemetry Transport) ODBC	JDBC ODBC Proprietary protocol
Supported programming languages	.Net C C++ Delphi Java JavaScript (Node.js) Perl PHP Python Tcl	All languages supporting JDBC/ODBC Java	C C# C++ Go Java JavaScript PHP via ODBC Python R via ODBC Scala	.Net C C# C++ Groovy Java PHP Python
Server-side scripts Stored procedures	user defined functions	Java, SQL	no	no
Triggers	yes	yes	no	no
Partitioning methods Methods for storing different data on different nodes	partitioning by range, list and by hash	none	Sharding	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	Source-replica replication	none	selectable replication factor	none
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Immediate Consistency		Immediate Consistency
Foreign keys Referential integrity	yes	yes	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	ACID	no
Concurrency Support for concurrent manipulation of data	yes, multi-version concurrency control (MVCC)	yes	yes	yes
Durability Support for making data persistent	yes	yes	no	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.		yes	yes volatile and lookup table	yes managed by 'Learn by Usage'
User concepts Access control	fine grained access rights according to SQL-standard	fine grained access rights according to SQL-standard	simple password-based access control	Access rights for users, groups and roles according to SQL-standard
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More resources
	Fujitsu Enterprise Postgres	HyperSQL also known as HSQLDB	Machbase Neo Former name was Infiniflux	Sadas Engine
Recent citations in the news	Fujitsu Develops Column-Oriented Data-Processing Engine Enabling Fast, High-Volume Data Analysis in Database ... 26 February 2015, Fujitsu Expert Insight 202009 KAC 4 September 2023, Fujitsu Fujitsu recognized as winner of 2023 Microsoft Japan Healthcare & Life Sciences Partner of the Year Award for its ... 28 June 2023, Fujitsu Primary Data says stop, Hammerspace, Innodisk cooks some SSDs, and Fujitsu goes blockchain 22 May 2018, The Register DCPMM 1 August 2020, Fujitsu provided by Google News	HyperSQL DataBase flaw leaves library vulnerable to RCE 24 October 2022, The Daily Swig Introduction to JDBC with HSQLDB tutorial 14 November 2022, TheServerSide.com provided by Google News

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