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DBMS > Apache IoTDB vs. FatDB vs. Hazelcast vs. IBM Cloudant

System Properties Comparison Apache IoTDB vs. FatDB vs. Hazelcast vs. IBM Cloudant

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonFatDB  Xexclude from comparisonHazelcast  Xexclude from comparisonIBM Cloudant  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from 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 FlinkA .NET NoSQL DBMS that can integrate with and extend SQL Server.A widely adopted in-memory data gridDatabase as a Service offering based on Apache CouchDB
Primary database modelTime Series DBMSDocument store
Key-value store
Key-value storeDocument store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score2.68
Rank#106  Overall
#20  Document stores
Websiteiotdb.apache.orghazelcast.comwww.ibm.com/­products/­cloudant
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlhazelcast.org/­imdg/­docscloud.ibm.com/­docs/­Cloudant
DeveloperApache Software FoundationFatCloudHazelcastIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014
Initial release2018201220082010
Current release1.1.0, April 20235.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC#JavaErlang
Server operating systemsAll OS with a Java VM (>= 1.8)WindowsAll OS with a Java VMhosted
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.noyes infothe object must implement a serialization strategyno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageno infoVia inetgration in SQL ServerSQL-like query languageno
APIs and other access methodsJDBC
Native API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JCache
JPA
Memcached protocol
RESTful HTTP API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C#.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C#
Java
JavaScript
Objective-C
PHP
Ruby
Server-side scripts infoStored proceduresyesyes infovia applicationsyes infoEvent Listeners, Executor ServicesView functions (Map-Reduce) in JavaScript
Triggersyesyes infovia applicationsyes infoEventsyes
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 replicasselectable replication factoryes infoReplicated MapMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyesyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoone or two-phase-commit; repeatable reads; read commitedno infoatomic operations within a document possible
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoOptimistic locking
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.yesyesno
User concepts infoAccess controlyesno infoCan implement custom security layer via applicationsRole-based access controlAccess rights for users can be defined per database

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More resources
Apache IoTDBFatDBHazelcastIBM Cloudant
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