DBMS > Atos Standard Common Repository vs. InfinityDB vs. Sadas Engine vs. Transwarp Hippo

System Properties Comparison Atos Standard Common Repository vs. InfinityDB vs. Sadas Engine vs. Transwarp Hippo

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	InfinityDB  Xexclude from comparison	Sadas Engine  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	A Java embedded Key-Value Store which extends the Java Map interface	SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments	Cloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database model	Document store Key-value store	Key-value store	Relational DBMS	Vector DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.08 Rank #365   Overall #55   Key-value stores	Score 0.07 Rank #373   Overall #157   Relational DBMS	Score 0.05 Rank #386   Overall #16   Vector DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	boilerbay.com	www.sadasengine.com	www.transwarp.cn/­en/­subproduct/­hippo
Technical documentation		boilerbay.com/­infinitydb/­manual	www.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
Developer	Atos Convergence Creators	Boiler Bay Inc.	SADAS s.r.l.
Initial release	2016	2002	2006	2023
Current release	1703	4.0	8.0	1.0, May 2023
License Commercial or Open Source	commercial	commercial	commercial free trial version available	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	Java	C++	C++
Server operating systems	Linux	All OS with a Java VM	AIX Linux Windows	Linux macOS
Data scheme	Schema and schema-less with LDAP views	yes nested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade	yes
Typing predefined data types such as float or date	optional	yes all Java primitives, Date, CLOB, BLOB, huge sparse arrays	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	no	no	no
Secondary indexes	yes	no manual creation possible, using inversions based on multi-value capability	yes	no
SQL Support of SQL	no	no	yes	no
APIs and other access methods	LDAP	Access via java.util.concurrent.ConcurrentNavigableMap Interface Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)	JDBC ODBC Proprietary protocol	RESTful HTTP API
Supported programming languages	All languages with LDAP bindings	Java	.Net C C# C++ Groovy Java PHP Python	C++ Java Python
Server-side scripts Stored procedures	no	no	no	no
Triggers	yes	no	no	no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none	horizontal partitioning	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	none	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 READ-COMMITTED or SERIALIZED	Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no manual creation possible, using inversions based on multi-value capability	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	Atomic execution of specific operations	ACID Optimistic locking for transactions; no isolation for bulk loads		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 managed by 'Learn by Usage'	yes
User concepts Access control	LDAP bind authentication	no	Access rights for users, groups and roles according to SQL-standard	Role based access control and fine grained access rights
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.

Share this page