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

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

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonNSDb  Xexclude from comparisonPlanetScale  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 FlinkDatabase as a Service offering based on Apache CouchDBScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesScalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelTime Series DBMSDocument storeTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score2.68
Rank#106  Overall
#20  Document stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Websiteiotdb.apache.orgwww.ibm.com/­products/­cloudantnsdb.ioplanetscale.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlcloud.ibm.com/­docs/­Cloudantnsdb.io/­Architectureplanetscale.com/­docs
DeveloperApache Software FoundationIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014PlanetScale
Initial release2018201020172020
Current release1.1.0, April 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaErlangJava, ScalaGo
Server operating systemsAll OS with a Java VM (>= 1.8)hostedLinux
macOS
Docker
Linux
macOS
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes: int, bigint, decimal, stringyes
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 indexesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like query languageyes infowith proprietary extensions
APIs and other access methodsJDBC
Native API
RESTful HTTP/JSON APIgRPC
HTTP REST
WebSocket
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C#
Java
JavaScript
Objective-C
PHP
Ruby
Java
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesView functions (Map-Reduce) in JavaScriptnoyes infoproprietary syntax
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 Sparkyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual ConsistencyEventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a document possiblenoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlyesAccess rights for users can be defined per databaseUsers with fine-grained authorization concept infono user groups or roles

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More resources
Apache IoTDBIBM CloudantNSDbPlanetScale
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