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DBMS > Apache IoTDB vs. DataFS vs. InfinityDB vs. Memcached

System Properties Comparison Apache IoTDB vs. DataFS vs. InfinityDB vs. Memcached

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonDataFS  Xexclude from comparisonInfinityDB  Xexclude from comparisonMemcached  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 FlinkAll 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.A Java embedded Key-Value Store which extends the Java Map interfaceIn-memory key-value store, originally intended for caching
Primary database modelTime Series DBMSObject oriented DBMSKey-value storeKey-value store
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score18.08
Rank#32  Overall
#4  Key-value stores
Websiteiotdb.apache.orgnewdatabase.comboilerbay.comwww.memcached.org
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldev.mobiland.com/­Overview.xspboilerbay.com/­infinitydb/­manualgithub.com/­memcached/­memcached/­wiki
DeveloperApache Software FoundationMobiland AGBoiler Bay Inc.Danga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release2018201820022003
Current release1.1.0, April 20231.1.263, October 20224.01.6.27, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoBSD license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC
Server operating systemsAll OS with a Java VM (>= 1.8)WindowsAll OS with a Java VMFreeBSD
Linux
OS X
Unix
Windows
Data schemeyesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-free
Typing infopredefined data types such as float or dateyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysno
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 indexesyesnono infomanual creation possible, using inversions based on multi-value capabilityno
SQL infoSupport of SQLSQL-like query languagenonono
APIs and other access methodsJDBC
Native API
.NET Client API
Proprietary client DLL
WinRT client
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Proprietary protocol
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C
C#
C++
VB.Net
Java.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnono
Triggersyesno, except callback-events from server when changes happenednono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Proprietary Sharding systemnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnonenone infoRepcached, a Memcached patch, provides this functionallity
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 Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integritynoyesno infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlyesWindows-Profilenoyes infousing SASL (Simple Authentication and Security Layer) protocol

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More resources
Apache IoTDBDataFSInfinityDBMemcached
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