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DBMS > CouchDB vs. FileMaker vs. Google Cloud Datastore vs. Manticore Search

System Properties Comparison CouchDB vs. FileMaker vs. Google Cloud Datastore vs. Manticore Search

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Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonFileMaker  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonManticore Search  Xexclude from comparison
DescriptionA 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.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformMulti-storage database for search, including full-text search.
Primary database modelDocument storeRelational DBMSDocument storeSearch engine
Secondary database modelsSpatial DBMS infousing the Geocouch extensionTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.64
Rank#45  Overall
#7  Document stores
Score42.78
Rank#20  Overall
#14  Relational DBMS
Score3.98
Rank#70  Overall
#12  Document stores
Score0.23
Rank#300  Overall
#21  Search engines
Websitecouchdb.apache.orgwww.claris.com/­filemakercloud.google.com/­datastoremanticoresearch.com
Technical documentationdocs.couchdb.org/­en/­stablewww.claris.com/­resources/­documentationcloud.google.com/­datastore/­docsmanual.manticoresearch.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerClaris infoa subsidiary of AppleGoogleManticore Software
Initial release2005198320082017
Current release3.3.3, December 202319.4.1, November 20216.0, February 2023
License infoCommercial or Open SourceOpen Source infoApache version 2commercialcommercialOpen Source infoGPL version 2
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangC++
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
iOS infoclient part only
Linux
OS X
Windows
hostedFreeBSD
Linux
macOS
Windows
Data schemeschema-freeyesschema-freeFixed schema
Typing infopredefined data types such as float or datenoyesyes, details hereInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean
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 formatnoCan index from XML
Secondary indexesyes infovia viewsyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoyes infovia pluginsSQL-like query language (GQL)SQL-like query language
APIs and other access methodsRESTful HTTP/JSON APIFilemaker WebDirect
JDBC
ODBC
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
PHP.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresView functions in JavaScriptyesusing Google App Engineuser defined functions
TriggersyesyesCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0noneShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replication, warm standby infosince Version 14Multi-source replication using PaxosSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.
Foreign keys infoReferential integritynoyesyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possiblenoACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Manticore index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users can be defined per databasesimple rights management via user accounts and connection to external directory servicesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no

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CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"FileMakerGoogle Cloud DatastoreManticore Search
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