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DBMS > Badger vs. Google Cloud Firestore vs. Graph Engine vs. HugeGraph vs. Memcached

System Properties Comparison Badger vs. Google Cloud Firestore vs. Graph Engine vs. HugeGraph vs. Memcached

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHugeGraph  Xexclude from comparisonMemcached  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.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.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA fast-speed and highly-scalable Graph DBMSIn-memory key-value store, originally intended for caching
Primary database modelKey-value storeDocument storeGraph DBMS
Key-value store
Graph DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score7.36
Rank#53  Overall
#9  Document stores
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Websitegithub.com/­dgraph-io/­badgerfirebase.google.com/­products/­firestorewww.graphengine.iogithub.com/­hugegraph
hugegraph.apache.org
www.memcached.org
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerfirebase.google.com/­docs/­firestorewww.graphengine.io/­docs/­manualhugegraph.apache.org/­docsgithub.com/­memcached/­memcached/­wiki
DeveloperDGraph LabsGoogleMicrosoftBaiduDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release20172017201020182003
Current release0.91.6.27, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoMIT LicenseOpen Source infoApache Version 2.0Open Source infoBSD license
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo.NET and CJavaC
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hosted.NETLinux
macOS
Unix
FreeBSD
Linux
OS X
Unix
Windows
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesno
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.nononono
Secondary indexesnoyesyes infoalso supports composite index and range indexno
SQL infoSupport of SQLnonononono
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP APIJava API
RESTful HTTP API
TinkerPop Gremlin
Proprietary protocol
Supported programming languagesGoGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
C++
F#
Visual Basic
Groovy
Java
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud Functionsyesasynchronous Gremlin script jobsno
Triggersnoyes, with Cloud Functionsnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioningyes infodepending on used storage backend, e.g. Cassandra and HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationyes infodepending on used storage backend, e.g. Cassandra and HBasenone infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflowvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
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.Users, roles and permissionsyes infousing SASL (Simple Authentication and Security Layer) protocol

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More resources
BadgerGoogle Cloud FirestoreGraph Engine infoformer name: TrinityHugeGraphMemcached
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