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DBMS > FileMaker vs. KeyDB vs. Splice Machine vs. Tkrzw

System Properties Comparison FileMaker vs. KeyDB vs. Splice Machine vs. Tkrzw

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Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonKeyDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA 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 modelRelational DBMSKey-value storeRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.claris.com/­filemakergithub.com/­Snapchat/­KeyDB
keydb.dev
splicemachine.comdbmx.net/­tkrzw
Technical documentationwww.claris.com/­resources/­documentationdocs.keydb.devsplicemachine.com/­how-it-works
DeveloperClaris infoa subsidiary of AppleEQ Alpha Technology Ltd.Splice MachineMikio Hirabayashi
Initial release1983201920142020
Current release19.4.1, November 20213.1, March 20210.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoBSD-3Open Source infoAGPL 3.0, commercial license availableOpen 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 languageC++JavaC++
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
LinuxLinux
OS X
Solaris
Windows
Linux
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.yes infoA http query request can return the data in XML formatnono
Secondary indexesyesyes infoby using the Redis Search moduleyes
SQL infoSupport of SQLyes infovia pluginsnoyesno
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
Proprietary protocol infoRESP - REdis Serialization ProtocoJDBC
Native Spark Datasource
ODBC
Supported programming languagesPHPC
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++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyesLuayes infoJavano
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14Multi-source replication
Source-replica replication
Multi-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong eventual consistency with CRDTs
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoOptimistic locking, atomic execution of commands blocks and scriptsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
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 controlsimple rights management via user accounts and connection to external directory servicessimple password-based access control and ACLAccess rights for users, groups and roles according to SQL-standardno

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More resources
FileMakerKeyDBSplice MachineTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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