DBMS > CouchDB vs. FileMaker vs. HarperDB
System Properties Comparison CouchDB vs. FileMaker vs. HarperDB
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|Editorial information provided by DB-Engines|
|Name||CouchDB stands for "Cluster Of Unreliable Commodity Hardware" Xexclude from comparison||FileMaker Xexclude from comparison||HarperDB Xexclude from comparison|
|Description||A native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.||FileMaker is a cross-platform RDBMS that includes a GUI frontend.||Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.|
|Primary database model||Document store||Relational DBMS||Document store|
|Secondary database models||Spatial DBMS using the Geocouch extension|
|Developer||Apache Software Foundation Apache top-level project, originally developed by Damien Katz, a former Lotus Notes developer||FileMaker a subsidiary of Apple||HarperDB|
|Current release||3.3.2, April 2023||19.4.1, November 2021||3.1, August 2021|
|License Commercial or Open Source||Open Source Apache version 2||commercial||commercial free community edition available|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||Android|
|iOS client part only|
|Data scheme||schema-free||yes||dynamic schema|
|Typing predefined data types such as float or date||no||yes||yes JSON data types|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||yes A http query request can return the data in XML format||no|
|Secondary indexes||yes via views||yes||yes|
|SQL Support of SQL||no||yes via plugins||SQL-like data manipulation statements|
|APIs and other access methods||RESTful HTTP/JSON API||Filemaker WebDirect|
RESTful HTTP/JSON API
|Supported programming languages||C|
|Partitioning methods Methods for storing different data on different nodes||Sharding improved architecture with release 2.0||none||A table resides as a whole on one (or more) nodes in a cluster|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication|
|Source-replica replication, warm standby since Version 14||yes the nodes on which a table resides can be defined|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no atomic operations within a single document possible||no||Atomic execution of specific operations|
|Concurrency Support for concurrent manipulation of data||yes strategy: optimistic locking||yes||yes|
|Durability Support for making data persistent||yes||yes||yes, using LMDB|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||yes|
|User concepts Access control||Access rights for users can be defined per database||simple rights management via user accounts and connection to external directory services||Access rights for users and roles|
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|CouchDB stands for "Cluster Of Unreliable Commodity Hardware"||FileMaker||HarperDB|
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