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DBMS > Apache IoTDB vs. FoundationDB vs. MaxDB vs. Postgres-XL vs. TigerGraph

System Properties Comparison Apache IoTDB vs. FoundationDB vs. MaxDB vs. Postgres-XL vs. TigerGraph

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonPostgres-XL  Xexclude from comparisonTigerGraph  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.A robust and reliable RDBMS optimized to run all major SAP solutionsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelTime Series DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument store
Spatial 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
Score2.26
Rank#114  Overall
#55  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websiteiotdb.apache.orggithub.com/­apple/­foundationdbmaxdb.sap.comwww.postgres-xl.orgwww.tigergraph.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlapple.github.io/­foundationdbmaxdb.sap.com/­documentationwww.postgres-xl.org/­documentationdocs.tigergraph.com
DeveloperApache Software FoundationFoundationDBSAP, acquired from Software AG (Adabas-D) in 1997
Initial release2018201319842014 infosince 2012, originally named StormDB2017
Current release1.1.0, April 20236.2.28, November 20207.9.10.12, February 202410 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial infoLimited community edition freeOpen Source infoMozilla public licensecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++CC++
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
macOS
Linux
Data schemeyesschema-free infosome layers support schemasyesyesyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingyesyesyes
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.nonoyes infoXML type, but no XML query functionalityno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like query languagesupported in specific SQL layer onlyyesyes infodistributed, parallel query executionSQL-like query language (GSQL)
APIs and other access methodsJDBC
Native API
ADO.NET
JDBC
ODBC
WebDAV
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C#
Java
Perl
PHP
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
Server-side scripts infoStored proceduresyesin SQL-layer onlyyesuser defined functionsyes
Triggersyesnoyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardingnonehorizontal partitioning
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
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Linearizable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoin SQL-layer onlyyesyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID infoMVCCACID
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.yesnonono
User concepts infoAccess controlyesnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardRole-based access control

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More resources
Apache IoTDBFoundationDBMaxDB infoformerly named Adabas-DPostgres-XLTigerGraph
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