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DBMS > FoundationDB vs. Google Cloud Firestore vs. HarperDB vs. Memcached

System Properties Comparison FoundationDB vs. Google Cloud Firestore vs. HarperDB vs. Memcached

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonHarperDB  Xexclude from comparisonMemcached  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionOrdered key-value store. Core features are complimented by layers.Cloud 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.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.In-memory key-value store, originally intended for caching
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Document storeDocument storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score0.55
Rank#248  Overall
#38  Document stores
Score19.42
Rank#32  Overall
#4  Key-value stores
Websitegithub.com/­apple/­foundationdbfirebase.google.com/­products/­firestorewww.harperdb.iowww.memcached.org
Technical documentationapple.github.io/­foundationdbfirebase.google.com/­docs/­firestoredocs.harperdb.io/­docsgithub.com/­memcached/­memcached/­wiki
DeveloperFoundationDBGoogleHarperDBDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release2013201720172003
Current release6.2.28, November 20203.1, August 20211.6.25, March 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infofree community edition availableOpen Source infoBSD license
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Node.jsC
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
FreeBSD
Linux
OS X
Unix
Windows
Data schemeschema-free infosome layers support schemasschema-freedynamic schemaschema-free
Typing infopredefined data types such as float or dateno infosome layers support typingyesyes infoJSON data typesno
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.nono
Secondary indexesnoyesyesno
SQL infoSupport of SQLsupported in specific SQL layer onlynoSQL-like data manipulation statementsno
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Proprietary protocol
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresin SQL-layer onlyyes, Firebase Rules & Cloud FunctionsCustom Functions infosince release 3.1no
Triggersnoyes, with Cloud Functionsnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingA table resides as a whole on one (or more) nodes in a clusternone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationyes infothe nodes on which a table resides can be definednone infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDBno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Access rights for users and rolesyes infousing SASL (Simple Authentication and Security Layer) protocol

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More resources
FoundationDBGoogle Cloud FirestoreHarperDBMemcached
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