DBMS > Atos Standard Common Repository vs. Microsoft Azure Synapse Analytics vs. Postgres-XL vs. Tkrzw

System Properties Comparison Atos Standard Common Repository vs. Microsoft Azure Synapse Analytics vs. Postgres-XL vs. Tkrzw

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse  Xexclude from comparison	Postgres-XL  Xexclude from comparison	Tkrzw Successor of Tokyo Cabinet and Kyoto Cabinet  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	Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server	Based on PostgreSQL enhanced with MPP and write-scale-out cluster features	A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database model	Document store Key-value store	Relational DBMS	Relational DBMS	Key-value store
Secondary database models			Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 19.93 Rank #31   Overall #19   Relational DBMS	Score 0.53 Rank #254   Overall #117   Relational DBMS	Score 0.07 Rank #372   Overall #57   Key-value stores
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	azure.microsoft.com/­services/­synapse-analytics	www.postgres-xl.org	dbmx.net/­tkrzw
Technical documentation		docs.microsoft.com/­azure/­synapse-analytics	www.postgres-xl.org/­documentation
Developer	Atos Convergence Creators	Microsoft		Mikio Hirabayashi
Initial release	2016	2016	2014 since 2012, originally named StormDB	2020
Current release	1703		10 R1, October 2018	0.9.3, August 2020
License Commercial or Open Source	commercial	commercial	Open Source Mozilla public license	Open Source Apache Version 2.0
Cloud-based only Only available as a cloud service	no	yes	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	C++	C	C++
Server operating systems	Linux	hosted	Linux macOS	Linux macOS
Data scheme	Schema and schema-less with LDAP views	yes	yes	schema-free
Typing predefined data types such as float or date	optional	yes	yes	no
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 XML type, but no XML query functionality	no
Secondary indexes	yes	yes	yes
SQL Support of SQL	no	yes	yes distributed, parallel query execution	no
APIs and other access methods	LDAP	ADO.NET JDBC ODBC	ADO.NET JDBC native C library ODBC streaming API for large objects
Supported programming languages	All languages with LDAP bindings	C# Java PHP	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl	C++ Java Python Ruby
Server-side scripts Stored procedures	no	Transact SQL	user defined functions	no
Triggers	yes	no	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	Sharding, horizontal partitioning	horizontal partitioning	none
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes		none
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	Immediate Consistency
Foreign keys Referential integrity	no	no docs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	ACID MVCC
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		no	yes using specific database classes
User concepts Access control	LDAP bind authentication	yes	fine grained access rights according to SQL-standard	no
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	Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse	Postgres-XL	Tkrzw Successor of Tokyo Cabinet and Kyoto Cabinet
Recent citations in the news		General Available: Azure Synapse Runtime for Apache Spark 3.4 is now GA | Azure updates 8 April 2024, azure.microsoft.com Azure Synapse Runtime for Apache Spark 3.2 End of Support | Azure updates 22 March 2024, azure.microsoft.com 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 vs. Databricks: Data Platform Comparison 2024 26 March 2024, eWeek provided by Google News

Share this page