DBMS > Atos Standard Common Repository vs. Netezza vs. Postgres-XL vs. Transwarp Hippo

System Properties Comparison Atos Standard Common Repository vs. Netezza vs. Postgres-XL vs. Transwarp Hippo

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	Netezza Also called PureData System for Analytics by IBM  Xexclude from comparison	Postgres-XL  Xexclude from comparison	Transwarp Hippo  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	Data warehouse and analytics appliance part of IBM PureSystems	Based on PostgreSQL enhanced with MPP and write-scale-out cluster features	Cloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database model	Document store Key-value store	Relational DBMS	Relational DBMS	Vector DBMS
Secondary database models			Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 8.59 Rank #45   Overall #29   Relational DBMS	Score 0.53 Rank #254   Overall #117   Relational DBMS	Score 0.05 Rank #386   Overall #14   Vector DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	www.ibm.com/­products/­netezza	www.postgres-xl.org	www.transwarp.cn/­en/­subproduct/­hippo
Technical documentation			www.postgres-xl.org/­documentation
Developer	Atos Convergence Creators	IBM
Initial release	2016	2000	2014 since 2012, originally named StormDB	2023
Current release	1703		10 R1, October 2018	1.0, May 2023
License Commercial or Open Source	commercial	commercial	Open Source Mozilla public license	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	Java		C	C++
Server operating systems	Linux	Linux included in appliance	Linux macOS	Linux macOS
Data scheme	Schema and schema-less with LDAP views	yes	yes
Typing predefined data types such as float or date	optional	yes	yes	Vector, Numeric and String
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		yes XML type, but no XML query functionality	no
Secondary indexes	yes	yes	yes	no
SQL Support of SQL	no	yes	yes distributed, parallel query execution	no
APIs and other access methods	LDAP	JDBC ODBC OLE DB	ADO.NET JDBC native C library ODBC streaming API for large objects	RESTful HTTP API
Supported programming languages	All languages with LDAP bindings	C C++ Fortran Java Lua Perl Python R	.Net C C++ Delphi Erlang Java JavaScript (Node.js) Perl PHP Python Tcl	C++ Java Python
Server-side scripts Stored procedures	no	yes	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	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods		yes	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	no	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID	ACID MVCC	no
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
User concepts Access control	LDAP bind authentication	Users with fine-grained authorization concept	fine grained access rights according to SQL-standard	Role based access control and fine grained access rights
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More resources
	Atos Standard Common Repository	Netezza Also called PureData System for Analytics by IBM	Postgres-XL	Transwarp Hippo
Recent citations in the news	Infographic: What makes a Mobile Operator's setup future proof? 10 February 2024, Atos provided by Google News	Roundup: Telehouse, Cloudera, Netezza, EMC 31 May 2024, Data Center Knowledge IBM announces availability of the high-performance, cloud-native Netezza Performance Server as a Service on AWS 11 July 2023, ibm.com AWS and IBM Netezza come out in support of Iceberg in table format face-off 1 August 2023, The Register How to migrate a large data warehouse from IBM Netezza to Amazon Redshift with no downtime | Amazon Web Services 21 August 2019, AWS Blog Netezza Performance Server 12 August 2020, ibm.com provided by Google News

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