DBMS > Atos Standard Common Repository vs. HyperSQL vs. jBASE vs. Microsoft Azure Synapse Analytics

System Properties Comparison Atos Standard Common Repository vs. HyperSQL vs. jBASE vs. Microsoft Azure Synapse Analytics

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	HyperSQL also known as HSQLDB  Xexclude from comparison	jBASE  Xexclude from comparison	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse  Xexclude from comparison
	This system has been discontinued and will be removed from the DB-Engines ranking.
Description	Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks	Multithreaded, transactional RDBMS written in Java also known as HSQLDB	A robust multi-value DBMS comprising development tools and middleware	Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database model	Document store Key-value store	Relational DBMS	Multivalue DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 3.23 Rank #93   Overall #48   Relational DBMS	Score 1.49 Rank #156   Overall #3   Multivalue DBMS	Score 19.93 Rank #31   Overall #19   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	hsqldb.org	www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbase	azure.microsoft.com/­services/­synapse-analytics
Technical documentation		hsqldb.org/­web/­hsqlDocsFrame.html	docs.rocketsoftware.com/­bundle?labelkey=jbase_5.9	docs.microsoft.com/­azure/­synapse-analytics
Developer	Atos Convergence Creators		Rocket Software (formerly Zumasys)	Microsoft
Initial release	2016	2001	1991	2016
Current release	1703	2.7.2, June 2023	5.7
License Commercial or Open Source	commercial	Open Source based on BSD license	commercial	commercial
Cloud-based only Only available as a cloud service	no	no	no	yes
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	Java		C++
Server operating systems	Linux	All OS with a Java VM Embedded (into Java applications) and Client-Server operating modes	AIX Linux Windows	hosted
Data scheme	Schema and schema-less with LDAP views	yes	schema-free	yes
Typing predefined data types such as float or date	optional	yes	optional	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	yes	no
Secondary indexes	yes	yes		yes
SQL Support of SQL	no	yes	Embedded SQL for jBASE in BASIC	yes
APIs and other access methods	LDAP	HTTP API JDBC via HTTP JDBC ODBC	JDBC ODBC Proprietary protocol RESTful HTTP API SOAP-based API	ADO.NET JDBC ODBC
Supported programming languages	All languages with LDAP bindings	All languages supporting JDBC/ODBC Java	.Net Basic Jabbascript Java	C# Java PHP
Server-side scripts Stored procedures	no	Java, SQL	yes	Transact SQL
Triggers	yes	yes	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none	Sharding	Sharding, horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	yes	none	yes	yes
MapReduce Offers an API for user-defined Map/Reduce methods		no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency		Immediate Consistency
Foreign keys Referential integrity	no	yes	no	no docs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	ACID	ACID
Concurrency Support for concurrent manipulation of data	yes	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.	yes	yes	yes
User concepts Access control	LDAP bind authentication	fine grained access rights according to SQL-standard	Access rights can be defined down to the item level	yes
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
	Atos Standard Common Repository	HyperSQL also known as HSQLDB	jBASE	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse
Recent citations in the 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		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 Analytics: Everything you need to know about Microsoft's cloud analytics platform 24 September 2023, DataScientest Azure Synapse vs. Databricks: Data Platform Comparison 2024 26 March 2024, eWeek Azure Synapse Link for Cosmos DB: New Analytics Capabilities 10 November 2023, InfoQ.com provided by Google News

Share this page