DBMS > Atos Standard Common Repository vs. Grakn
System Properties Comparison Atos Standard Common Repository vs. Grakn
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|Editorial information provided by DB-Engines|
|Name||Atos Standard Common Repository Xexclude from comparison||Grakn 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||Grakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.|
|Primary database model||Document store|
Relational DBMS Often described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
|Developer||Atos Convergence Creators||Grakn Labs|
|Current release||1703||1.8.0, June 2020|
|License Commercial or Open Source||commercial||Open Source GPL Version 3, commercial licenses available|
|Cloud-based only Only available as a cloud service||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||Linux||Linux|
|Data scheme||Schema and schema-less with LDAP views||yes|
|Typing predefined data types such as float or date||optional||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|
|SQL Support of SQL||no||no|
|APIs and other access methods||LDAP||console (shell)|
Workbase (visualisation software)
|Supported programming languages||All languages with LDAP bindings||All JVM based languages|
|Server-side scripts Stored procedures||no||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding cell division||Sharding by using Cassandra|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||Master-master replication by using Cassandra|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes by using Apache Kafka and Apache Zookeeper|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency or Eventual Consistency depending on configuration||Immediate Consistency|
|Foreign keys Referential integrity||no||no substituted by the relationship feature|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||Atomic execution of specific operations||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes|
|Durability Support for making data persistent||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||no|
|User concepts Access control||LDAP bind authentication||yes at REST API level; other APIs in progress|
|More information provided by the system vendor|
|Atos Standard Common Repository||Grakn|
|Specific characteristics||Grakn is the knowledge graph to organise complex networks of data and making it queryable,...|
|Competitive advantages||Expressive and flexible data model: The meta-schema of Grakn allows for modelling...|
|Typical application scenarios||Life sciences : Grakn makes working with biological data much easier and accelerates...|
|Licensing and pricing models||AGPL and Commercial . The commercial license is priced based on cluster resources...|
Comparing Graql to SQL — Part 2/2
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|Atos Standard Common Repository||Grakn|
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