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DBMS > Google Cloud Firestore vs. Memcached vs. NuoDB vs. searchxml vs. SingleStore

System Properties Comparison Google Cloud Firestore vs. Memcached vs. NuoDB vs. searchxml vs. SingleStore

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonMemcached  Xexclude from comparisonNuoDB  Xexclude from comparisonsearchxml  Xexclude from comparisonSingleStore infoformer name was MemSQL  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.In-memory key-value store, originally intended for cachingNuoDB is a webscale distributed database that supports SQL and ACID transactionsDBMS for structured and unstructured content wrapped with an application serverMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelDocument storeKey-value storeRelational DBMSNative XML DBMS
Search engine
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.63
Rank#54  Overall
#9  Document stores
Score16.84
Rank#32  Overall
#4  Key-value stores
Score0.87
Rank#201  Overall
#94  Relational DBMS
Score0.00
Rank#385  Overall
#7  Native XML DBMS
#24  Search engines
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websitefirebase.google.com/­products/­firestorewww.memcached.orgwww.3ds.com/­nuodb-distributed-sql-databasewww.searchxml.net/­category/­productswww.singlestore.com
Technical documentationfirebase.google.com/­docs/­firestoregithub.com/­memcached/­memcached/­wikidoc.nuodb.comwww.searchxml.net/­support/­handoutsdocs.singlestore.com
DeveloperGoogleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalDassault Systèmes infooriginally NuoDB, Inc.informationpartners gmbhSingleStore Inc.
Initial release20172003201320152013
Current release1.6.29, June 20241.08.5, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoBSD licensecommercial infolimited edition freecommercialcommercial infofree developer edition 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 languageCC++C++C++, Go
Server operating systemshostedFreeBSD
Linux
OS X
Unix
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
WindowsLinux info64 bit version required
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonoyesno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLnonoyesnoyes infobut no triggers and foreign keys
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Proprietary protocolADO.NET
JDBC
ODBC
RESTful HTTP API
WebDAV
XQuery
XSLT
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
C++ infomost other programming languages supported via APIsBash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud FunctionsnoJava, SQLyes infoon the application serveryes
Triggersyes, with Cloud Functionsnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnonedata is dynamically stored/cached on the nodes where it is read/writtennoneSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnone infoRepcached, a Memcached patch, provides this functionallityyes infoManaged transparently by NuoDByes infosychronisation to multiple collectionsSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownononono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID infotunable commit protocolmultiple readers, single writerACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesnoyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTemporary tablenoyes
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.yes infousing SASL (Simple Authentication and Security Layer) protocolStandard SQL roles/ privileges, Administrative UsersDomain, group and role-based access control at the document level and for application servicesFine grained access control via users, groups and roles

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More resources
Google Cloud FirestoreMemcachedNuoDBsearchxmlSingleStore infoformer name was MemSQL
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