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DBMS > Apache IoTDB vs. atoti vs. DataFS vs. FoundationDB vs. H2

System Properties Comparison Apache IoTDB vs. atoti vs. DataFS vs. FoundationDB vs. H2

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonatoti  Xexclude from comparisonDataFS  Xexclude from comparisonFoundationDB  Xexclude from comparisonH2  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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 FlinkAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.All data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Ordered key-value store. Core features are complimented by layers.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.
Primary database modelTime Series DBMSObject oriented DBMSObject oriented DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMS
Secondary database modelsGraph DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Websiteiotdb.apache.orgatoti.ionewdatabase.comgithub.com/­apple/­foundationdbwww.h2database.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.atoti.iodev.mobiland.com/­Overview.xspapple.github.io/­foundationdbwww.h2database.com/­html/­main.html
DeveloperApache Software FoundationActiveViamMobiland AGFoundationDBThomas Mueller
Initial release2018201820132005
Current release1.1.0, April 20231.1.263, October 20226.2.28, November 20202.2.220, July 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree versions availablecommercialOpen Source infoApache 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++Java
Server operating systemsAll OS with a Java VM (>= 1.8)WindowsLinux
OS X
Windows
All OS with a Java VM
Data schemeyesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-free infosome layers support schemasyes
Typing infopredefined data types such as float or dateyesyesno infosome layers support typingyes
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.nonono
Secondary indexesyesnonoyes
SQL infoSupport of SQLSQL-like query languageMultidimensional Expressions (MDX)nosupported in specific SQL layer onlyyes
APIs and other access methodsJDBC
Native API
.NET Client API
Proprietary client DLL
WinRT client
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C
C#
C++
VB.Net
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Java
Server-side scripts infoStored proceduresyesPythonin SQL-layer onlyJava Stored Procedures and User-Defined Functions
Triggersyesno, except callback-events from server when changes happenednoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding, horizontal partitioningProprietary Sharding systemShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesWith clustering: 2 database servers on different computers operate on identical copies of a database
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
Immediate ConsistencyLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integritynoyesin SQL-layer onlyyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes, multi-version concurrency control (MVCC)
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.yesyesnoyes
User concepts infoAccess controlyesWindows-Profilenofine grained access rights according to SQL-standard

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More resources
Apache IoTDBatotiDataFSFoundationDBH2
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