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DBMS > Apache IoTDB vs. H2 vs. Oracle NoSQL vs. RDFox vs. Realm

System Properties Comparison Apache IoTDB vs. H2 vs. Oracle NoSQL vs. RDFox vs. Realm

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonH2  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonRDFox  Xexclude from comparisonRealm  Xexclude from comparison
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 FlinkFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesHigh performance knowledge graph and semantic reasoning engineA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelTime Series DBMSRelational DBMSDocument store
Key-value store
Relational DBMS
Graph DBMS
RDF store
Document store
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score2.95
Rank#100  Overall
#17  Document stores
#17  Key-value stores
#50  Relational DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score7.60
Rank#52  Overall
#9  Document stores
Websiteiotdb.apache.orgwww.h2database.comwww.oracle.com/­database/­nosql/­technologies/­nosqlwww.oxfordsemantic.techrealm.io
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.h2database.com/­html/­main.htmldocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmldocs.oxfordsemantic.techrealm.io/­docs
DeveloperApache Software FoundationThomas MuellerOracleOxford Semantic TechnologiesRealm, acquired by MongoDB in May 2019
Initial release20182005201120172014
Current release1.1.0, April 20232.2.220, July 202323.3, December 20236.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)commercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJavaC++
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java VMLinux
Solaris SPARC/x86
Linux
macOS
Windows
Android
Backend: server-less
iOS
Windows
Data schemeyesyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.yes infoRDF schemasyes
Typing infopredefined data types such as float or dateyesyesoptionalyesyes
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.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesSQL-like DML and DDL statementsnono
APIs and other access methodsJDBC
Native API
JDBC
ODBC
RESTful HTTP APIRESTful HTTP API
SPARQL 1.1
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
JavaC
C#
Go
Java
JavaScript (Node.js)
Python
C
Java
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresyesJava Stored Procedures and User-Defined Functionsnono inforuns within the applications so server-side scripts are unnecessary
Triggersyesyesnoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasWith clustering: 2 database servers on different computers operate on identical copies of a databaseElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featurereplication via a shared file systemnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDconfigurable infoACID within a storage node (=shard)ACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infooff heap cacheyesyes infoIn-Memory realm
User concepts infoAccess controlyesfine grained access rights according to SQL-standardAccess rights for users and rolesRoles, resources, and access typesyes

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More resources
Apache IoTDBH2Oracle NoSQLRDFoxRealm
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