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DBMS > Apache IoTDB vs. Atos Standard Common Repository vs. Datomic vs. Rockset vs. STSdb

System Properties Comparison Apache IoTDB vs. Atos Standard Common Repository vs. Datomic vs. Rockset vs. STSdb

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDatomic  Xexclude from comparisonRockset  Xexclude from comparisonSTSdb  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA scalable, reliable search and analytics service in the cloud, built on RocksDBKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelTime Series DBMSDocument store
Key-value store
Relational DBMSDocument storeKey-value store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score0.04
Rank#360  Overall
#52  Key-value stores
Websiteiotdb.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.datomic.comrockset.comgithub.com/­STSSoft/­STSdb4
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.datomic.comdocs.rockset.com
DeveloperApache Software FoundationAtos Convergence CreatorsCognitectRocksetSTS Soft SC
Initial release20182016201220192011
Current release1.1.0, April 202317031.0.6735, June 20234.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial infolimited edition freecommercialOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava, ClojureC++C#
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxAll OS with a Java VMhostedWindows
Data schemeyesSchema and schema-less with LDAP viewsyesschema-freeyes
Typing infopredefined data types such as float or dateyesoptionalyesdynamic typingyes infoprimitive types and user defined types (classes)
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyesnono infoingestion from XML files supported
Secondary indexesyesyesyesall fields are automatically indexedno
SQL infoSupport of SQLSQL-like query languagenonoRead-only SQL queries, including JOINsno
APIs and other access methodsJDBC
Native API
LDAPRESTful HTTP APIHTTP REST.NET Client API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
All languages with LDAP bindingsClojure
Java
Go
Java
JavaScript (Node.js)
Python
C#
Java
Server-side scripts infoStored proceduresyesnoyes infoTransaction Functionsnono
TriggersyesyesBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infocell divisionnone infoBut extensive use of caching in the application peersAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesnone infoBut extensive use of caching in the application peersyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes inforecommended only for testing and development
User concepts infoAccess controlyesLDAP bind authenticationnoAccess rights for users and organizations can be defined via Rockset consoleno

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More resources
Apache IoTDBAtos Standard Common RepositoryDatomicRocksetSTSdb
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