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DBMS > Google Cloud Firestore vs. GridGain vs. HugeGraph vs. Memcached vs. WakandaDB

System Properties Comparison Google Cloud Firestore vs. GridGain vs. HugeGraph vs. Memcached vs. WakandaDB

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonGridGain  Xexclude from comparisonHugeGraph  Xexclude from comparisonMemcached  Xexclude from comparisonWakandaDB  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 IgniteA fast-speed and highly-scalable Graph DBMSIn-memory key-value store, originally intended for cachingWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument storeKey-value store
Relational DBMS
Graph DBMSKey-value storeObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitefirebase.google.com/­products/­firestorewww.gridgain.comgithub.com/­hugegraph
hugegraph.apache.org
www.memcached.orgwakanda.github.io
Technical documentationfirebase.google.com/­docs/­firestorewww.gridgain.com/­docs/­index.htmlhugegraph.apache.org/­docsgithub.com/­memcached/­memcached/­wikiwakanda.github.io/­doc
DeveloperGoogleGridGain Systems, Inc.BaiduDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalWakanda SAS
Initial release20172007201820032012
Current releaseGridGain 8.5.10.91.6.27, May 20242.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoBSD licenseOpen Source infoAGPLv3, extended 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++, .NetJavaCC++, JavaScript
Server operating systemshostedLinux
OS X
Solaris
Windows
Linux
macOS
Unix
FreeBSD
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 indexesyesyesyes infoalso supports composite index and range indexno
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
Java API
RESTful HTTP API
TinkerPop Gremlin
Proprietary protocolRESTful HTTP API
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
C++
Java
PHP
Python
Ruby
Scala
Groovy
Java
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyes (compute grid and cache interceptors can be used instead)asynchronous Gremlin script jobsnoyes
Triggersyes, with Cloud Functionsyes (cache interceptors and events)nonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes (replicated cache)yes infodepending on used storage backend, e.g. Cassandra and HBasenone infoRepcached, a Memcached patch, provides this functionallitynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowyes (compute grid and hadoop accelerator)via hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
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 implementationsUsers, roles and permissionsyes infousing SASL (Simple Authentication and Security Layer) protocolyes

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More resources
Google Cloud FirestoreGridGainHugeGraphMemcachedWakandaDB
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