DBMS > Atos Standard Common Repository vs. InfluxDB vs. Yaacomo
System Properties Comparison Atos Standard Common Repository vs. InfluxDB vs. Yaacomo
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|Editorial information provided by DB-Engines
|Atos Standard Common Repository Xexclude from comparison
|InfluxDB 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
|DBMS for storing time series, events and metrics
|OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
|Primary database model
|Time Series DBMS
|Secondary database models
|Spatial DBMS with GEO package
|Atos Convergence Creators
|2.7.5, January 2024
|License Commercial or Open Source
|Open Source MIT-License; commercial enterprise version available
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
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|Server operating systems
OS X through Homebrew
|Schema and schema-less with LDAP views
|Typing predefined data types such as float or date
|Numeric data and Strings
|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.
|SQL Support of SQL
|SQL-like query language
|APIs and other access methods
JSON over UDP
|Supported programming languages
|All languages with LDAP bindings
|Server-side scripts Stored procedures
|Partitioning methods Methods for storing different data on different nodes
|Sharding cell division
|Sharding in enterprise version only
|Replication methods Methods for redundantly storing data on multiple nodes
|selectable replication factor in enterprise version only
|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
|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.
|yes Depending on used storage engine
|User concepts Access control
|LDAP bind authentication
|simple rights management via user accounts
|fine grained access rights according to SQL-standard
|More information provided by the system vendor
|Atos Standard Common Repository
|InfluxData is the creator of InfluxDB , the open source time series database. It...
|Time to Value InfluxDB is available in all the popular languages and frameworks,...
|Typical application scenarios
|IoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
|InfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
|Fastest-growing database to drive 25,500 GitHub stars Over 750,000 daily active instances
|Licensing and pricing models
|Open source core with closed source clustering available either on-premise or on...
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|Atos Standard Common Repository
|DB-Engines blog posts
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