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DBMS > Apache IoTDB vs. Hyprcubd vs. OpenTenBase vs. RethinkDB vs. Sphinx

System Properties Comparison Apache IoTDB vs. Hyprcubd vs. OpenTenBase vs. RethinkDB vs. Sphinx

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonHyprcubd  Xexclude from comparisonOpenTenBase  Xexclude from comparisonRethinkDB  Xexclude from comparisonSphinx  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 DBMSAn enterprise-level distributed HTAP open source database based on PostgreSQLDBMS for the Web with a mechanism to push updated query results to applications in realtime.Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelTime Series DBMSTime Series DBMSRelational DBMSDocument storeSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Score5.98
Rank#56  Overall
#5  Search engines
Websiteiotdb.apache.orghyprcubd.com (offline)github.com/­OpenTenBase/­OpenTenBase
www.opentenbase.org
rethinkdb.comsphinxsearch.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.opentenbase.org
docs.opentenbase.org/­en
rethinkdb.com/­docssphinxsearch.com/­docs
DeveloperApache Software FoundationHyprcubd, Inc.OpenAtom Foundation, previously TencentThe Linux Foundation infosince July 2017Sphinx Technologies Inc.
Initial release201820092001
Current release1.1.0, April 20232.5, January 20242.4.1, August 20203.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoBSD-3Open Source infoApache Version 2Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC++C++
Server operating systemsAll OS with a Java VM (>= 1.8)hostedLinuxLinux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringyesyes infostring, binary, float, bool, date, geometryno
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.nonono
Secondary indexesyesnoyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languageSQL-like query languageyesnoSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
Native API
gRPC (https)Proprietary protocol
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
Go
Java
PHP
Python
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesnono
TriggersyesnoyesClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingSharding inforange basedSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDAtomic single-document operationsno
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes infoMVCC basedyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlyestoken accessAccess rights for users, groups and roles according to SQL-standardyes infousers and table-level permissionsno

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More resources
Apache IoTDBHyprcubdOpenTenBaseRethinkDBSphinx
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