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DBMS > Apache IoTDB vs. FoundationDB vs. GBase vs. Postgres-XL vs. SQream DB

System Properties Comparison Apache IoTDB vs. FoundationDB vs. GBase vs. Postgres-XL vs. SQream DB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonGBase  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSQream DB  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelTime Series DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websiteiotdb.apache.orggithub.com/­apple/­foundationdbwww.gbase.cnwww.postgres-xl.orgsqream.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlapple.github.io/­foundationdbwww.postgres-xl.org/­documentationdocs.sqream.com
DeveloperApache Software FoundationFoundationDBGeneral Data Technology Co., Ltd.SQream Technologies
Initial release2018201320042014 infosince 2012, originally named StormDB2017
Current release1.1.0, April 20236.2.28, November 2020GBase 8a, GBase 8s, GBase 8c10 R1, October 20182022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialOpen 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, Java, PythonCC++, CUDA, Haskell, Java, Scala
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
OS X
Windows
LinuxLinux
macOS
Linux
Data schemeyesschema-free infosome layers support schemasyesyesyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingyesyesyes, ANSI Standard SQL Types
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 infoXML type, but no XML query functionality
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLSQL-like query languagesupported in specific SQL layer onlyStandard with numerous extensionsyes infodistributed, parallel query executionyes
APIs and other access methodsJDBC
Native API
ADO.NET
C API
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.Net
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C#.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesin SQL-layer onlyuser defined functionsuser defined functionsuser defined functions in Python
Triggersyesnoyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardinghorizontal partitioning (by range, list and hash) and vertical partitioninghorizontal partitioninghorizontal and vertical 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 replicasyesyesnone
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
Linearizable consistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoin SQL-layer onlyyesyesno
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.yesno
User concepts infoAccess controlyesnoyesfine grained access rights according to SQL-standard

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More resources
Apache IoTDBFoundationDBGBasePostgres-XLSQream DB
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