DBMS > Atos Standard Common Repository vs. InfinityDB vs. NSDb vs. Sadas Engine

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

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Editorial information provided by DB-Engines
Name	Atos Standard Common Repository  Xexclude from comparison	InfinityDB  Xexclude from comparison	NSDb  Xexclude from comparison	Sadas Engine  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	Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes	SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database model	Document store Key-value store	Key-value store	Time Series DBMS	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart		Score 0.08 Rank #365   Overall #55   Key-value stores	Score 0.08 Rank #369   Overall #40   Time Series DBMS	Score 0.07 Rank #373   Overall #157   Relational DBMS
Website	atos.net/en/convergence-creators/portfolio/standard-common-repository	boilerbay.com	nsdb.io	www.sadasengine.com
Technical documentation		boilerbay.com/­infinitydb/­manual	nsdb.io/­Architecture	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	2017	2006
Current release	1703	4.0		8.0
License Commercial or Open Source	commercial	commercial	Open Source Apache Version 2.0	commercial free trial version available
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	Java, Scala	C++
Server operating systems	Linux	All OS with a Java VM	Linux macOS	AIX Linux Windows
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: int, bigint, decimal, string	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	no
Secondary indexes	yes	no manual creation possible, using inversions based on multi-value capability	all fields are automatically indexed	yes
SQL Support of SQL	no	no	SQL-like query language	yes
APIs and other access methods	LDAP	Access via java.util.concurrent.ConcurrentNavigableMap Interface Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)	gRPC HTTP REST WebSocket	JDBC ODBC Proprietary protocol
Supported programming languages	All languages with LDAP bindings	Java	Java Scala	.Net C C# C++ Groovy Java PHP Python
Server-side scripts Stored procedures	no	no	no	no
Triggers	yes	no		no
Partitioning methods Methods for storing different data on different nodes	Sharding cell division	none	Sharding	horizontal partitioning
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	Eventual Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no manual creation possible, using inversions based on multi-value capability	no	yes
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	Using Apache Lucene	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'
User concepts Access control	LDAP bind authentication	no		Access rights for users, groups and roles according to SQL-standard
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