DBMS > Atos Standard Common Repository vs. StarRocks vs. Yaacomo
System Properties Comparison Atos Standard Common Repository vs. StarRocks vs. Yaacomo
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|Editorial information provided by DB-Engines
|Atos Standard Common Repository Xexclude from comparison
|StarRocks 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
|An open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics Forked from Apache Doris
|OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
|Primary database model
|Atos Convergence Creators
|The Linux Foundation since Feb 2023
|2.5.3, March 2023
|License Commercial or Open Source
|Open Source Apache Version 2.0
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
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|CelerData Cloud – Realtime-analytics delivered at the push of a button
|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.
|SQL Support of SQL
|APIs and other access methods
|Supported programming languages
|All languages with LDAP bindings
|Server-side scripts Stored procedures
|user defined functions
|Partitioning methods Methods for storing different data on different nodes
|Sharding cell division
|horizontal partitioning (by range and hash)
|Replication methods Methods for redundantly storing data on multiple nodes
|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.
|User concepts Access control
|LDAP bind authentication
|Role based access control and fine grained access rights
|fine grained access rights according to SQL-standard
|More information provided by the system vendor
|Atos Standard Common Repository
|StarRocks is an open-source, high-performance columnar analytical database that enables...
|One of the challenges of data lakehouse is to provide fast and interactive query...
|Typical application scenarios
|Real-time analytics Fraud detection System monitoring analytics User facing analytics...
|Trip.com Yoozoo Zepp health Airbnb Lenovo Tencent
|4.4k stars, 223 contributors on GitHub 971 members on Slack *a s of April 2023:
|Licensing and pricing models
|Apache-2.0 license Pay-as-you-go BYOC cloud service by CelerData
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|Atos Standard Common Repository
|Recent citations in the news
StarRocks analytical DB heads to Linux Foundation
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StarRocks' real-time analytics engine moves to the cloud
StarRocks brings open source OLAP database to the cloud
StarRocks Launches Beta of Cloud Service for Its Analytics Engine
provided by Google News
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