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DBMS > DuckDB vs. FileMaker vs. HarperDB vs. Riak KV

System Properties Comparison DuckDB vs. FileMaker vs. HarperDB vs. Riak KV

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Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonFileMaker  Xexclude from comparisonHarperDB  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSFileMaker is a cross-platform RDBMS that includes a GUI frontend.HarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.Distributed, fault tolerant key-value store
Primary database modelRelational DBMSRelational DBMSDocument storeKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.61
Rank#60  Overall
#34  Relational DBMS
Score45.20
Rank#20  Overall
#14  Relational DBMS
Score0.55
Rank#243  Overall
#38  Document stores
Score3.84
Rank#76  Overall
#9  Key-value stores
Websiteduckdb.orgwww.claris.com/­filemakerwww.harperdb.io
Technical documentationduckdb.org/­docswww.claris.com/­resources/­documentationdocs.harperdb.io/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperClaris infoa subsidiary of AppleHarperDBOpenSource, formerly Basho Technologies
Initial release2018198320172009
Current release1.0.0, June 202419.4.1, November 20213.1, August 20213.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercialcommercial infofree community edition availableOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Node.jsErlang
Server operating systemsserver-lessiOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Linux
OS X
Data schemeyesyesdynamic schemaschema-free
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesno
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.noyes infoA http query request can return the data in XML formatnono
Secondary indexesyesyesyesrestricted
SQL infoSupport of SQLyesyes infovia pluginsSQL-like data manipulation statementsno
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
Filemaker WebDirect
JDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HTTP API
Native Erlang Interface
Supported programming languagesC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
PHP.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnoyesCustom Functions infosince release 3.1Erlang
Triggersnoyesnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnonenoneA table resides as a whole on one (or more) nodes in a clusterSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication, warm standby infosince Version 14yes infothe nodes on which a table resides can be definedselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnosimple rights management via user accounts and connection to external directory servicesAccess rights for users and rolesyes, using Riak Security

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More resources
DuckDBFileMakerHarperDBRiak KV
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