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DBMS > Apache IoTDB vs. HBase vs. IBM Cloudant vs. NSDb

System Properties Comparison Apache IoTDB vs. HBase vs. IBM Cloudant vs. NSDb

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonHBase  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonNSDb  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 FlinkWide-column store based on Apache Hadoop and on concepts of BigTableDatabase as a Service offering based on Apache CouchDBScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelTime Series DBMSWide column storeDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score2.68
Rank#106  Overall
#20  Document stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websiteiotdb.apache.orghbase.apache.orgwww.ibm.com/­products/­cloudantnsdb.io
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlhbase.apache.org/­book.htmlcloud.ibm.com/­docs/­Cloudantnsdb.io/­Architecture
DeveloperApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by PowersetIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014
Initial release2018200820102017
Current release1.1.0, April 20232.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaErlangJava, Scala
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
Unix
Windows infousing Cygwin
hostedLinux
macOS
Data schemeyesschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROnoyes: int, bigint, decimal, string
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 indexesyesnoyesall fields are automatically indexed
SQL infoSupport of SQLSQL-like query languagenonoSQL-like query language
APIs and other access methodsJDBC
Native API
Java API
RESTful HTTP API
Thrift
RESTful HTTP/JSON APIgRPC
HTTP REST
WebSocket
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
C#
Java
JavaScript
Objective-C
PHP
Ruby
Java
Scala
Server-side scripts infoStored proceduresyesyes infoCoprocessors in JavaView functions (Map-Reduce) in JavaScriptno
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate Consistency or Eventual ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)no infoatomic operations within a document possibleno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlyesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users can be defined per database

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More resources
Apache IoTDBHBaseIBM CloudantNSDb
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