DBMS > Atos Standard Common Repository vs. eXtremeDB vs. Yaacomo
System Properties Comparison Atos Standard Common Repository vs. eXtremeDB vs. Yaacomo
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|Editorial information provided by DB-Engines
|Atos Standard Common Repository Xexclude from comparison
|eXtremeDB Xexclude from comparison
|Yaacomo Xexclude from comparison
|This system has been discontinued and will be removed from the DB-Engines ranking.
|Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
|Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks
|Natively in-memory DBMS with options for persistency, high-availability and clustering
|OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
|Primary database model
Time Series DBMS
|Atos Convergence Creators
|License Commercial or Open Source
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
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|C and C++
|Server operating systems
|Schema and schema-less with LDAP views
|Typing predefined data types such as float or date
|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 support of XML interfaces available
|SQL Support of SQL
|yes with the option: eXtremeSQL
|APIs and other access methods
|.NET Client API
RESTful HTTP API
|Supported programming languages
|All languages with LDAP bindings
|Server-side scripts Stored procedures
|yes by defining events
|Partitioning methods Methods for storing different data on different nodes
|Sharding cell division
|horizontal partitioning / sharding
|Replication methods Methods for redundantly storing data on multiple nodes
|Active Replication Fabric™ for IoT
Multi-source replication by means of eXtremeDB Cluster option
Source-replica replication by means of eXtremeDB High Availability option
|MapReduce Offers an API for user-defined Map/Reduce methods
|Consistency concepts Methods to ensure consistency in a distributed system
|Immediate Consistency or Eventual Consistency depending on configuration
|Foreign keys Referential integrity
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|Atomic execution of specific operations
|Concurrency Support for concurrent manipulation of data
|yes Optimistic (MVCC) and pessimistic (locking) strategies available
|Durability Support for making data persistent
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.
|User concepts Access control
|LDAP bind authentication
|fine grained access rights according to SQL-standard
|More information provided by the system vendor
|Atos Standard Common Repository
|eXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
|eXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
|Typical application scenarios
|IoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
|Schneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
|With hundreds of customers and over 30 million devices/applications using the product...
|Licensing and pricing models
|For server use cases, there is a simple per-server license irrespective of the number...
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|Atos Standard Common Repository
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