DBMS > Atos Standard Common Repository vs. TiDB vs. Yaacomo
System Properties Comparison Atos Standard Common Repository vs. TiDB vs. Yaacomo
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|Editorial information provided by DB-Engines
|Atos Standard Common Repository Xexclude from comparison
|TiDB 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
|TiDB is an open source distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high availability.
|OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
|Primary database model
|Secondary database models
|Atos Convergence Creators
|7.6.0, January 2024
|License Commercial or Open Source
|Open Source Apache 2.0
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
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|TiDB Cloud: Fully-managed TiDB Service. Bring everything great about TiDB to the cloud.
|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
|Partitioning methods Methods for storing different data on different nodes
|Sharding cell division
|horizontal partitioning (by key range)
|Replication methods Methods for redundantly storing data on multiple nodes
|Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
|MapReduce Offers an API for user-defined Map/Reduce methods
|yes with TiSpark Connector
|Consistency concepts Methods to ensure consistency in a distributed system
|Immediate Consistency or Eventual Consistency depending on configuration
|Foreign keys Referential integrity
|yes full support since version 6.6
|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
|Fine grained access rights according to SQL-standard
|fine grained access rights according to SQL-standard
|More information provided by the system vendor
|Atos Standard Common Repository
|TiDB is an advanced open-source, distributed SQL database for modern application...
|- HORIZONTAL SCALING : TiDB grants total transparency into your data workloads without...
|Typical application scenarios
|TiDB is ideal for transactional applications that require extreme scalability and...
|Block, Pinterest, Catalyst, Bolt, Flipkart, Capcom, Shopee (E-commerce), JD Cloud...
|34K+ GitHub stars 5K+ members in TiDB Community Slack 1K+ community contributors...
|Licensing and pricing models
|TiDB Community : Free open source software (Apache 2.0) TiDB Self-Hosted : Enterprise...
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|Atos Standard Common Repository
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