DBMS > 4D vs. Infobright vs. Microsoft Azure Synapse Analytics vs. Valentina Server

System Properties Comparison 4D vs. Infobright vs. Microsoft Azure Synapse Analytics vs. Valentina Server

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	4D former name: 4th Dimension  Xexclude from comparison	Infobright  Xexclude from comparison	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse  Xexclude from comparison	Valentina Server  Xexclude from comparison
Description	Application development environment with integrated database management system	High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend	Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server	Object-relational database and reports server
Primary database model	Relational DBMS	Relational DBMS	Relational DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 2.47 Rank #110   Overall #54   Relational DBMS	Score 1.02 Rank #192   Overall #90   Relational DBMS	Score 19.93 Rank #31   Overall #19   Relational DBMS	Score 0.21 Rank #325   Overall #144   Relational DBMS
Website	www.4d.com	ignitetech.com/­softwarelibrary/­infobrightdb	azure.microsoft.com/­services/­synapse-analytics	www.valentina-db.net
Technical documentation	developer.4d.com		docs.microsoft.com/­azure/­synapse-analytics	valentina-db.com/­docs/­dokuwiki/­v5/­doku.php
Developer	4D, Inc	Ignite Technologies Inc.; formerly InfoBright Inc.	Microsoft	Paradigma Software
Initial release	1984	2005	2016	1999
Current release	v20, April 2023			5.7.5
License Commercial or Open Source	commercial	commercial The open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language		C	C++
Server operating systems	OS X Windows	Linux Windows	hosted	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.	yes	no	no
Secondary indexes	yes	no Knowledge Grid Technology used instead	yes	yes
SQL Support of SQL	yes close to SQL 92	yes	yes	yes
APIs and other access methods	ODBC RESTful HTTP API by using 4D Mobile SOAP webservices	ADO.NET JDBC ODBC	ADO.NET JDBC ODBC	ODBC
Supported programming languages	4D proprietary IDE PHP	.Net C C# C++ D Eiffel Erlang Haskell Java Objective-C OCaml Perl PHP Python Ruby Scheme Tcl	C# Java PHP	.Net C C# C++ Objective-C PHP Ruby Visual Basic Visual Basic.NET
Server-side scripts Stored procedures	yes	no	Transact SQL	yes
Triggers	yes	no	no	yes
Partitioning methods Methods for storing different data on different nodes	none	none	Sharding, horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	Multi-source replication	Source-replica replication	yes
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	no	no docs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	ACID	ACID
Concurrency Support for concurrent manipulation of data	yes	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.	no	yes		yes
User concepts Access control	Users and groups	fine grained access rights according to SQL-standard exploiting MySQL or PostgreSQL frontend capabilities	yes	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
	4D former name: 4th Dimension	Infobright	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse	Valentina Server
DB-Engines blog posts	MySQL, PostgreSQL and Redis are the winners of the March ranking 2 March 2016, Paul Andlinger show all
Recent citations in the news			General Available: Azure Synapse Runtime for Apache Spark 3.4 is now GA | Azure updates 8 April 2024, Microsoft Azure Synapse Analytics: Everything you need to know about Microsoft's cloud analytics platform 24 September 2023, DataScientest Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT | Amazon Web Services 18 October 2023, AWS Blog Azure Synapse Runtime for Apache Spark 3.2 End of Support | Azure updates 22 March 2024, Microsoft Azure Synapse vs. Databricks: Data Platform Comparison 2024 26 March 2024, eWeek 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