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DBMS > Apache IoTDB vs. BigchainDB vs. PouchDB vs. Transwarp KunDB vs. Warp 10

System Properties Comparison Apache IoTDB vs. BigchainDB vs. PouchDB vs. Transwarp KunDB vs. Warp 10

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonPouchDB  Xexclude from comparisonTranswarp KunDB  Xexclude from comparisonWarp 10  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 FlinkBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsJavaScript DBMS with an API inspired by CouchDBOLTP DBMS based on a distributed architecture and highly compatible with MySQL and OracleTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelTime Series DBMSDocument storeDocument storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.79
Rank#212  Overall
#36  Document stores
Score2.28
Rank#115  Overall
#21  Document stores
Score0.10
Rank#344  Overall
#151  Relational DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websiteiotdb.apache.orgwww.bigchaindb.compouchdb.comwww.transwarp.cn/­en/­product/­kundbwww.warp10.io
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlbigchaindb.readthedocs.io/­en/­latestpouchdb.com/­guideswww.warp10.io/­content/­02_Getting_started
DeveloperApache Software FoundationApache Software FoundationTranswarpSenX
Initial release2018201620122015
Current release1.1.0, April 20237.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL v3Open SourcecommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonJavaScriptJava
Server operating systemsAll OS with a Java VM (>= 1.8)Linuxserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Data schemeyesschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnonoyesyes
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 indexesyesyes infovia viewsyesno
SQL infoSupport of SQLSQL-like query languagenonoyesno
APIs and other access methodsJDBC
Native API
CLI Client
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
HTTP API
Jupyter
WebSocket
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresyesView functions in JavaScriptyesyes infoWarpScript
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingSharding infowith a proxy-based framework, named couchdb-loungehorizontal partitioningSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasselectable replication factorMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlyesyesnoyesMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Apache IoTDBBigchainDBPouchDBTranswarp KunDBWarp 10
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