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DBMS > Apache IoTDB vs. FileMaker vs. Geode vs. Heroic vs. IBM Db2 warehouse

System Properties Comparison Apache IoTDB vs. FileMaker vs. Geode vs. Heroic vs. IBM Db2 warehouse

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonFileMaker  Xexclude from comparisonGeode  Xexclude from comparisonHeroic  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  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 FlinkFileMaker is a cross-platform RDBMS that includes a GUI frontend.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchCloud-based data warehousing service
Primary database modelTime Series DBMSRelational DBMSKey-value storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score1.37
Rank#160  Overall
#74  Relational DBMS
Websiteiotdb.apache.orgwww.claris.com/­filemakergeode.apache.orggithub.com/­spotify/­heroicwww.ibm.com/­products/­db2/­warehouse
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.claris.com/­resources/­documentationgeode.apache.org/­docsspotify.github.io/­heroic
DeveloperApache Software FoundationClaris infoa subsidiary of AppleOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.SpotifyIBM
Initial release20181983200220142014
Current release1.1.0, April 202319.4.1, November 20211.1, February 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava
Server operating systemsAll OS with a Java VM (>= 1.8)iOS infoclient part only
Linux
OS X
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredhosted
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 infoA http query request can return the data in XML formatnonono infoImport/export of XML data possible
Secondary indexesyesyesnoyes infovia Elasticsearchyes
SQL infoSupport of SQLSQL-like query languageyes infovia pluginsSQL-like query language (OQL)noyes
APIs and other access methodsJDBC
Native API
Filemaker WebDirect
JDBC
ODBC
Java Client API
Memcached protocol
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
.NET Client API
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
PHP.Net
All JVM based languages
C++
Groovy
Java
Scala
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresyesyesuser defined functionsnoPL/SQL, SQL PL
Triggersyesyesyes infoCache Event Listenersnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-replica replication, warm standby infosince Version 14Multi-source replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyes, on a single nodenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlyessimple rights management via user accounts and connection to external directory servicesAccess rights per client and object definablefine grained access rights according to SQL-standard

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More resources
Apache IoTDBFileMakerGeodeHeroicIBM Db2 warehouse infoformerly named IBM dashDB
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