DBMS > Atos Standard Common Repository vs. Google Cloud Datastore vs. TimescaleDB
System Properties Comparison Atos Standard Common Repository vs. Google Cloud Datastore vs. TimescaleDB
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|Editorial information provided by DB-Engines|
|Name||Atos Standard Common Repository Xexclude from comparison||Google Cloud Datastore Xexclude from comparison||TimescaleDB 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||Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform||A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL|
|Primary database model||Document store|
|Document store||Time Series DBMS|
|Secondary database models||Relational DBMS|
|Developer||Atos Convergence Creators||Timescale|
|Current release||1703||2.11.0, May 2023|
|License Commercial or Open Source||commercial||commercial||Open Source Apache 2.0|
|Cloud-based only Only available as a cloud service||no||yes||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||Linux||hosted||Linux|
|Data scheme||Schema and schema-less with LDAP views||schema-free||yes|
|Typing predefined data types such as float or date||optional||yes, details here||numerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types|
|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||yes|
|SQL Support of SQL||no||SQL-like query language (GQL)||yes full PostgreSQL SQL syntax|
|APIs and other access methods||LDAP||gRPC (using protocol buffers) API|
RESTful HTTP/JSON API
native C library
streaming API for large objects
|Supported programming languages||All languages with LDAP bindings||.Net|
|Server-side scripts Stored procedures||no||using Google App Engine||user defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell|
|Triggers||yes||Callbacks using the Google Apps Engine||yes|
|Partitioning methods Methods for storing different data on different nodes||Sharding cell division||Sharding||yes, across time and space (hash partitioning) attributes|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||Multi-source replication using Paxos||Source-replica replication with hot standby and reads on replicas|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes using Google Cloud Dataflow||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency or Eventual Consistency depending on configuration||Immediate Consistency or Eventual Consistency depending on type of query and configuration Strong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.||Immediate Consistency|
|Foreign keys Referential integrity||no||yes via ReferenceProperties or Ancestor paths||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||Atomic execution of specific operations||ACID Serializable Isolation within Transactions, Read Committed outside of Transactions||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||no||no|
|User concepts Access control||LDAP bind authentication||Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)||fine grained access rights according to SQL-standard|
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|Atos Standard Common Repository||Google Cloud Datastore||TimescaleDB|
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