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DBMS > Google Cloud Firestore vs. GridGain vs. Memcached vs. Percona Server for MongoDB vs. Speedb

System Properties Comparison Google Cloud Firestore vs. GridGain vs. Memcached vs. Percona Server for MongoDB vs. Speedb

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonGridGain  Xexclude from comparisonMemcached  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSpeedb  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 IgniteIn-memory key-value store, originally intended for cachingA drop-in replacement for MongoDB Community Edition with enterprise-grade features.An embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDB
Primary database modelDocument storeColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Key-value storeDocument storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.63
Rank#54  Overall
#9  Document stores
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score16.84
Rank#32  Overall
#4  Key-value stores
Score0.50
Rank#250  Overall
#39  Document stores
Score0.20
Rank#310  Overall
#44  Key-value stores
Websitefirebase.google.com/­products/­firestorewww.gridgain.comwww.memcached.orgwww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.speedb.io
Technical documentationfirebase.google.com/­docs/­firestorewww.gridgain.com/­docs/­index.htmlgithub.com/­memcached/­memcached/­wikidocs.percona.com/­percona-distribution-for-mongodb
DeveloperGoogleGridGain Systems, Inc.Danga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalPerconaSpeedb
Initial release20172007200320152020
Current releaseGridGain 8.5.11.6.29, June 20243.4.10-2.10, November 2017
License infoCommercial or Open Sourcecommercialcommercial, open sourceOpen Source infoBSD licenseOpen Source infoGPL Version 2Open Source infoApache Version 2.0; commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .Net, Python, REST, SQLCC++C++
Server operating systemshostedLinux
OS X
Solaris
Windows
z/OS
FreeBSD
Linux
OS X
Unix
Windows
LinuxLinux
Windows
Data schemeschema-freeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyesno
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.noyesnono
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLnonono
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
Proprietary protocolproprietary protocol using JSON
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyes (compute grid and cache interceptors can be used instead)noJavaScriptno
Triggersyes, with Cloud Functionsyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes (replicated cache)none infoRepcached, a Memcached patch, provides this functionallitySource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowyes (compute grid and hadoop accelerator)noyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnonoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infovia In-Memory Engineyes
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.Role-based access control
Security Hooks for custom implementations
yes infousing SASL (Simple Authentication and Security Layer) protocolAccess rights for users and rolesno

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More resources
Google Cloud FirestoreGridGainMemcachedPercona Server for MongoDBSpeedb
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