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DBMS > Apache IoTDB vs. Hyprcubd vs. InterSystems Caché vs. MarkLogic

System Properties Comparison Apache IoTDB vs. Hyprcubd vs. InterSystems Caché vs. MarkLogic

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonHyprcubd  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMarkLogic  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is 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 FlinkServerless Time Series DBMSA multi-model DBMS and application serverOperational and transactional Enterprise NoSQL database
Primary database modelTime Series DBMSTime Series DBMSKey-value store
Object oriented DBMS
Relational DBMS
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Websiteiotdb.apache.orghyprcubd.com (offline)www.intersystems.com/­products/­cachewww.marklogic.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.intersystems.comdocs.marklogic.com
DeveloperApache Software FoundationHyprcubd, Inc.InterSystemsMarkLogic Corp.
Initial release201819972001
Current release1.1.0, April 20232018.1.4, May 202011.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++
Server operating systemsAll OS with a Java VM (>= 1.8)hostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyesdepending on used data modelschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringyesyes
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.nonoyesyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like query languageyesyes infoSQL92
APIs and other access methodsJDBC
Native API
gRPC (https).NET Client API
JDBC
ODBC
RESTful HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C#
C++
Java
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnoyesyes infovia XQuery or JavaScript
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes, with Range Indexes
User concepts infoAccess controlyestoken accessAccess rights for users, groups and rolesRole-based access control at the document and subdocument levels

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More resources
Apache IoTDBHyprcubdInterSystems CachéMarkLogic
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