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DBMS > Apache IoTDB vs. Hyprcubd vs. MarkLogic vs. SpatiaLite vs. YottaDB

System Properties Comparison Apache IoTDB vs. Hyprcubd vs. MarkLogic vs. SpatiaLite vs. YottaDB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonHyprcubd  Xexclude from comparisonMarkLogic  Xexclude from comparisonSpatiaLite  Xexclude from comparisonYottaDB  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded 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 DBMSOperational and transactional Enterprise NoSQL databaseSpatial extension of SQLiteA fast and solid embedded Key-value store
Primary database modelTime Series DBMSTime Series DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Spatial DBMSKey-value store
Secondary database modelsRelational DBMSRelational DBMS infousing the Octo plugin
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
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Score0.20
Rank#317  Overall
#47  Key-value stores
Websiteiotdb.apache.orghyprcubd.com (offline)www.marklogic.comwww.gaia-gis.it/­fossil/­libspatialite/­indexyottadb.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.marklogic.comwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlyottadb.com/­resources/­documentation
DeveloperApache Software FoundationHyprcubd, Inc.MarkLogic Corp.Alessandro FurieriYottaDB, LLC
Initial release2018200120082001
Current release1.1.0, April 202311.0, December 20225.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial inforestricted free version is availableOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC++C++C
Server operating systemsAll OS with a Java VM (>= 1.8)hostedLinux
OS X
Windows
server-lessDocker
Linux
Data schemeyesyesschema-free infoSchema can be enforcedyesschema-free
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringyesyesno
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.nonoyesnono
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLSQL-like query languageSQL-like query languageyes infoSQL92yesby using the Octo plugin
APIs and other access methodsJDBC
Native API
gRPC (https)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
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyesnoyes infovia XQuery or JavaScriptno
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)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 replicasyesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infocan act as a resource manager in an XA/JTA transactionACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
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.yesnoyes, with Range Indexesyesyes
User concepts infoAccess controlyestoken accessRole-based access control at the document and subdocument levelsnoUsers and groups based on OS-security mechanisms

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More resources
Apache IoTDBHyprcubdMarkLogicSpatiaLiteYottaDB
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