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DBMS > Apache IoTDB vs. Databricks vs. FileMaker vs. InterSystems IRIS vs. TimesTen

System Properties Comparison Apache IoTDB vs. Databricks vs. FileMaker vs. InterSystems IRIS vs. TimesTen

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonDatabricks  Xexclude from comparisonFileMaker  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonTimesTen  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 FlinkThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.FileMaker is a cross-platform RDBMS that includes a GUI frontend.A containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityIn-Memory RDBMS compatible to Oracle
Primary database modelTime Series DBMSDocument store
Relational DBMS
Relational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score3.54
Rank#84  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websiteiotdb.apache.orgwww.databricks.comwww.claris.com/­filemakerwww.intersystems.com/­products/­intersystems-iriswww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.databricks.comwww.claris.com/­resources/­documentationdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.oracle.com/­database/­timesten-18.1
DeveloperApache Software FoundationDatabricksClaris infoa subsidiary of AppleInterSystemsOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20182013198320181998
Current release1.1.0, April 202319.4.1, November 20212023.3, June 202311 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsAll OS with a Java VM (>= 1.8)hostediOS infoclient part only
Linux
OS X
Windows
AIX
Linux
macOS
Ubuntu
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesdepending on used data modelyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesyes infoA http query request can return the data in XML formatyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like query languagewith Databricks SQLyes infovia pluginsyesyes
APIs and other access methodsJDBC
Native API
JDBC
ODBC
RESTful HTTP API
Filemaker WebDirect
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Python
R
Scala
PHP.Net
C++
Java
JavaScript (Node.js)
Python
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesyesyesPL/SQL
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesSource-replica replication, warm standby infosince Version 14Source-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlyessimple rights management via user accounts and connection to external directory servicesyesfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache IoTDBDatabricksFileMakerInterSystems IRISTimesTen
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
InterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
» more

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Apache IoTDBDatabricksFileMakerInterSystems IRISTimesTen
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