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DBMS > Google Cloud Firestore vs. GridGain vs. Manticore Search vs. PouchDB

System Properties Comparison Google Cloud Firestore vs. GridGain vs. Manticore Search vs. PouchDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonGridGain  Xexclude from comparisonManticore Search  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.GridGain is an in-memory computing platform, built on Apache IgniteMulti-storage database for search, including full-text search.JavaScript DBMS with an API inspired by CouchDB
Primary database modelDocument storeKey-value store
Relational DBMS
Search engineDocument store
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.36
Rank#53  Overall
#9  Document stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score2.34
Rank#112  Overall
#21  Document stores
Websitefirebase.google.com/­products/­firestorewww.gridgain.commanticoresearch.compouchdb.com
Technical documentationfirebase.google.com/­docs/­firestorewww.gridgain.com/­docs/­index.htmlmanual.manticoresearch.compouchdb.com/­guides
DeveloperGoogleGridGain Systems, Inc.Manticore SoftwareApache Software Foundation
Initial release2017200720172012
Current releaseGridGain 8.5.16.0, February 20237.1.1, June 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2Open Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC++JavaScript
Server operating systemshostedLinux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesFixed schemaschema-free
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanno
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.noyesCan index from XMLno
Secondary indexesyesyesyes infofull-text index on all search fieldsyes infovia views
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLSQL-like query languageno
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
C++
Java
PHP
Python
Ruby
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
JavaScript
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyes (compute grid and cache interceptors can be used instead)user defined functionsView functions in JavaScript
Triggersyes, with Cloud Functionsyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes (replicated cache)Synchronous replication based on Galera libraryMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowyes (compute grid and hadoop accelerator)noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDyes infoisolated transactions for atomic changes and binary logging for safe writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Security Hooks for custom implementationsnono

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More resources
Google Cloud FirestoreGridGainManticore SearchPouchDB
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