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

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

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Name	ArcadeDB  Xexclude from comparison	Atos Standard Common Repository  Xexclude from comparison	InfinityDB  Xexclude from comparison	Sadas Engine  Xexclude from comparison
		This system has been discontinued and will be removed from the DB-Engines ranking.
Description	Fast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewritten	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
Primary database model	Document store Graph DBMS Key-value store Time Series DBMS in next version	Document store Key-value store	Key-value store	Relational DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.10 Rank #358   Overall #48   Document stores #38   Graph DBMS #52   Key-value stores #35   Time Series DBMS		Score 0.08 Rank #365   Overall #55   Key-value stores	Score 0.07 Rank #373   Overall #157   Relational DBMS
Website	arcadedb.com	atos.net/en/convergence-creators/portfolio/standard-common-repository	boilerbay.com	www.sadasengine.com
Technical documentation	docs.arcadedb.com		boilerbay.com/­infinitydb/­manual	www.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
Developer	Arcade Data	Atos Convergence Creators	Boiler Bay Inc.	SADAS s.r.l.
Initial release	2021	2016	2002	2006
Current release	September 2021	1703	4.0	8.0
License Commercial or Open Source	Open Source Apache Version 2.0	commercial	commercial	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	C++
Server operating systems	All OS with a Java VM	Linux	All OS with a Java VM	AIX Linux Windows
Data scheme	schema-free	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	yes	optional	yes all Java primitives, Date, CLOB, BLOB, huge sparse arrays	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.	no	yes	no	no
Secondary indexes	yes	yes	no manual creation possible, using inversions based on multi-value capability	yes
SQL Support of SQL	SQL-like query language, no joins	no	no	yes
APIs and other access methods	JDBC MongoDB API OpenCypher PostgreSQL wire protocol Redis API RESTful HTTP/JSON API TinkerPop Gremlin	LDAP	Access via java.util.concurrent.ConcurrentNavigableMap Interface Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)	JDBC ODBC Proprietary protocol
Supported programming languages	Java	All languages with LDAP bindings	Java	.Net C C# C++ Groovy Java PHP Python
Server-side scripts Stored procedures		no	no	no
Triggers		yes	no	no
Partitioning methods Methods for storing different data on different nodes		Sharding cell division	none	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	Source-replica replication	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	Immediate Consistency or Eventual Consistency depending on configuration	Immediate Consistency READ-COMMITTED or SERIALIZED	Immediate Consistency
Foreign keys Referential integrity	yes relationship in graphs	no	no manual creation possible, using inversions based on multi-value capability	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	Atomic execution of specific operations	ACID Optimistic locking for transactions; no isolation for bulk loads
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'
User concepts Access control		LDAP bind authentication	no	Access rights for users, groups and roles according to SQL-standard
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