DBMS > Apache IoTDB vs. Atos Standard Common Repository vs. Tibero
System Properties Comparison Apache IoTDB vs. Atos Standard Common Repository vs. Tibero
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|Editorial information provided by DB-Engines|
|Name||Apache IoTDB Xexclude from comparison||Atos Standard Common Repository Xexclude from comparison||Tibero Xexclude from comparison|
|This system has been discontinued and will be removed from the DB-Engines ranking.|
|Description||An IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and Flink||Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks||A secure RDBMS, designed for easy portability from Oracle|
|Primary database model||Time Series DBMS||Document store|
|Developer||Apache Software Foundation||Atos Convergence Creators||TmaxSoft|
|Current release||1.1.0, April 2023||1703||6, April 2015|
|License Commercial or Open Source||Open Source Apache Version 2.0||commercial||commercial|
|Cloud-based only Only available as a cloud service||no||no||no|
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|Implementation language||Java||Java||C and Assembler|
|Server operating systems||All OS with a Java VM (>= 1.8)||Linux||AIX|
|Data scheme||yes||Schema and schema-less with LDAP views||yes|
|Typing predefined data types such as float or date||yes||optional||yes|
|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||yes||yes|
|SQL Support of SQL||SQL-like query language||no||yes|
|APIs and other access methods||JDBC|
Oracle Call Interface (OCI)
|Supported programming languages||C|
|All languages with LDAP bindings||C|
|Server-side scripts Stored procedures||yes||no||Persistent Stored Procedure (PSM)|
|Partitioning methods Methods for storing different data on different nodes||horizontal partitioning (by time range) + vertical partitioning (by deviceId)||Sharding cell division||horizontal partitioning by range, hash, list or composite|
|Replication methods Methods for redundantly storing data on multiple nodes||selectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicas||yes||Multi-source replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||Integration with Hadoop and Spark||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency|
Strong Consistency with Raft
|Immediate Consistency or Eventual Consistency depending on configuration||Immediate Consistency|
|Foreign keys Referential integrity||no||no||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||Atomic execution of specific operations||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||yes||no planned for next version|
|User concepts Access control||yes||LDAP bind authentication||fine grained access rights according to SQL-standard (SQL 92, SQL 99)|
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|Apache IoTDB||Atos Standard Common Repository||Tibero|
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