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DBMS > Apache IoTDB vs. FoundationDB vs. IBM Cloudant vs. JaguarDB

System Properties Comparison Apache IoTDB vs. FoundationDB vs. IBM Cloudant vs. JaguarDB

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonJaguarDB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the 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 FlinkOrdered key-value store. Core features are complimented by layers.Database as a Service offering based on Apache CouchDBPerformant, highly scalable DBMS for AI and IoT applications
Primary database modelTime Series DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Document storeKey-value store
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Score0.06
Rank#381  Overall
#59  Key-value stores
#15  Vector DBMS
Websiteiotdb.apache.orggithub.com/­apple/­foundationdbwww.ibm.com/­products/­cloudantwww.jaguardb.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlapple.github.io/­foundationdbcloud.ibm.com/­docs/­Cloudantwww.jaguardb.com/­support.html
DeveloperApache Software FoundationFoundationDBIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014DataJaguar, Inc.
Initial release2018201320102015
Current release1.1.0, April 20236.2.28, November 20203.3 July 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialOpen Source infoGPL V3.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ErlangC++ infothe server part. Clients available in other languages
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
OS X
Windows
hostedLinux
Data schemeyesschema-free infosome layers support schemasschema-freeyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingnoyes
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 indexesyesnoyesyes
SQL infoSupport of SQLSQL-like query languagesupported in specific SQL layer onlynoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggers
APIs and other access methodsJDBC
Native API
RESTful HTTP/JSON APIJDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C#
Java
JavaScript
Objective-C
PHP
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesin SQL-layer onlyView functions (Map-Reduce) in JavaScriptno
Triggersyesnoyesno
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 replicasyesMulti-source replication
Source-replica replication
Multi-source replication
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
Linearizable consistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoin SQL-layer onlynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno infoatomic operations within a document possibleno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlyesnoAccess rights for users can be defined per databaserights management via user accounts

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More resources
Apache IoTDBFoundationDBIBM CloudantJaguarDB
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