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DBMS > Apache IoTDB vs. KeyDB vs. Microsoft Access vs. Tkrzw

System Properties Comparison Apache IoTDB vs. KeyDB vs. Microsoft Access vs. Tkrzw

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonKeyDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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 FlinkAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelTime Series DBMSKey-value storeRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#159  Overall
#14  Time Series DBMS
Score0.63
Rank#232  Overall
#32  Key-value stores
Score93.76
Rank#12  Overall
#8  Relational DBMS
Score0.00
Rank#385  Overall
#61  Key-value stores
Websiteiotdb.apache.orggithub.com/­Snapchat/­KeyDB
keydb.dev
www.microsoft.com/­en-us/­microsoft-365/­accessdbmx.net/­tkrzw
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.keydb.devdeveloper.microsoft.com/­en-us/­access
DeveloperApache Software FoundationEQ Alpha Technology Ltd.MicrosoftMikio Hirabayashi
Initial release2018201919922020
Current release1.1.0, April 20231902 (16.0.11328.20222), March 20190.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSD-3commercial infoBundled with Microsoft OfficeOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++C++
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxWindows infoNot a real database server, but making use of DLLsLinux
macOS
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesno
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 indexesyesyes infoby using the Redis Search moduleyes
SQL infoSupport of SQLSQL-like query languagenoyes infobut not compliant to any SQL standardno
APIs and other access methodsJDBC
Native API
Proprietary protocol infoRESP - REdis Serialization ProtocoADO.NET
DAO
ODBC
OLE DB
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyesLuayes infosince Access 2010 using the ACE-engineno
Triggersyesnoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication
Source-replica replication
nonenone
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
Eventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoOptimistic locking, atomic execution of commands blocks and scriptsACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infousing specific database classes
User concepts infoAccess controlyessimple password-based access control and ACLno infoa simple user-level security was built in till version Access 2003no

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More resources
Apache IoTDBKeyDBMicrosoft AccessTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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