DBMS > Fujitsu Enterprise Postgres vs. GeoMesa vs. JaguarDB vs. Valentina Server

System Properties Comparison Fujitsu Enterprise Postgres vs. GeoMesa vs. JaguarDB vs. Valentina Server

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	Fujitsu Enterprise Postgres  Xexclude from comparison	GeoMesa  Xexclude from comparison	JaguarDB  Xexclude from comparison	Valentina Server  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.	GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.	Performant, highly scalable DBMS for AI and IoT applications	Object-relational database and reports server
Primary database model	Relational DBMS	Spatial DBMS	Key-value store Vector 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 0.86 Rank #205   Overall #4   Spatial DBMS	Score 0.06 Rank #381   Overall #59   Key-value stores #13   Vector DBMS	Score 0.21 Rank #325   Overall #144   Relational DBMS
Website	www.postgresql.fastware.com	www.geomesa.org	www.jaguardb.com	www.valentina-db.net
Technical documentation	www.postgresql.fastware.com/­product-manuals	www.geomesa.org/­documentation/­stable/­user/­index.html	www.jaguardb.com/­support.html	valentina-db.com/­docs/­dokuwiki/­v5/­doku.php
Developer	PostgreSQL Global Development Group, Fujitsu Australia Software Technology	CCRi and others	DataJaguar, Inc.	Paradigma Software
Initial release		2014	2015	1999
Current release	Fujitsu Enterprise Postgres 14, January 2022	5.0.0, May 2024	3.3 July 2023	5.7.5
License Commercial or Open Source	commercial	Open Source Apache License 2.0	Open Source GPL V3.0	commercial
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	Scala	C++ the server part. Clients available in other languages
Server operating systems	Linux Windows		Linux	Linux OS X 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
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	yes	no	A subset of ANSI SQL is implemented but no views, foreign keys, triggers	yes
APIs and other access methods	ADO.NET JDBC native C library ODBC streaming API for large objects		JDBC ODBC	ODBC
Supported programming languages	.Net C C++ Delphi Java JavaScript (Node.js) Perl PHP Python Tcl		C C++ Go Java JavaScript (Node.js) PHP Python Ruby Scala	.Net C C# C++ Objective-C PHP Ruby Visual Basic Visual Basic.NET
Server-side scripts Stored procedures	user defined functions	no	no	yes
Triggers	yes	no	no	yes
Partitioning methods Methods for storing different data on different nodes	partitioning by range, list and by hash	depending on storage layer	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	Source-replica replication	depending on storage layer	Multi-source replication
MapReduce Offers an API for user-defined Map/Reduce methods	no	yes	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	depending on storage layer	Eventual Consistency
Foreign keys Referential integrity	yes	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	no	no
Concurrency Support for concurrent manipulation of data	yes, multi-version concurrency control (MVCC)	yes	yes
Durability Support for making data persistent	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.		depending on storage layer	no	yes
User concepts Access control	fine grained access rights according to SQL-standard	yes depending on the DBMS used for storage	rights management via user accounts	fine grained access rights according to SQL-standard
More information provided by the system vendor We invite representatives of system vendors to contact us for updating and extending the system information, and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.
Related products and services We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
More resources
	Fujitsu Enterprise Postgres	GeoMesa	JaguarDB	Valentina Server
DB-Engines blog posts		Spatial database management systems 6 April 2021, Matthias Gelbmann show all
Recent citations in the news	Fujitsu Develops Column-Oriented Data-Processing Engine Enabling Fast, High-Volume Data Analysis in Database ... 26 February 2015, Fujitsu Fujitsu Develops Database Integration Technology to Accelerate IoT Data Analysis 17 March 2017, Fujitsu Fujitsu recognized as winner of 2023 Microsoft Japan Healthcare & Life Sciences Partner of the Year Award for its ... 28 June 2023, Fujitsu Latest News 17 September 2020, IBM Newsroom Primary Data says stop, Hammerspace, Innodisk cooks some SSDs, and Fujitsu goes blockchain 22 May 2018, The Register provided by Google News			A Look at Valentina — SitePoint 18 April 2014, SitePoint MySQL GUI Tools for Windows and Ubuntu/Linux: Top 8 free or open source 7 December 2018, H2S Media provided by Google News

Share this page