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DBMS > Firebase Realtime Database vs. Google Cloud Bigtable vs. H2GIS vs. OrientDB vs. WakandaDB

System Properties Comparison Firebase Realtime Database vs. Google Cloud Bigtable vs. H2GIS vs. OrientDB vs. WakandaDB

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonH2GIS  Xexclude from comparisonOrientDB  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Spatial extension of H2Multi-model DBMS (Document, Graph, Key/Value)WakandaDB 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
Wide column store
Spatial DBMSDocument store
Graph DBMS
Key-value store
Object oriented DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.64
Rank#39  Overall
#6  Document stores
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.08
Rank#368  Overall
#7  Spatial DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitefirebase.google.com/­products/­realtime-databasecloud.google.com/­bigtablewww.h2gis.orgorientdb.orgwakanda.github.io
Technical documentationfirebase.google.com/­docs/­databasecloud.google.com/­bigtable/­docswww.h2gis.org/­docs/­homewww.orientdb.com/­docs/­last/­index.htmlwakanda.github.io/­doc
DeveloperGoogle infoacquired by Google 2014GoogleCNRSOrientDB LTD; CallidusCloud; SAPWakanda SAS
Initial release20122015201320102012
Current release3.2.29, March 20242.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoLGPL 3.0Open Source infoApache version 2Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++, JavaScript
Server operating systemshostedhostedAll OS with a Java JDK (>= JDK 6)Linux
OS X
Windows
Data schemeschema-freeschema-freeyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes
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.nonononono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnonoyesSQL-like query language, no joinsno
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
RESTful HTTP API
Supported programming languagesJava
JavaScript
Objective-C
C#
C++
Go
Java
JavaScript (Node.js)
Python
Java.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
JavaScript
Server-side scripts infoStored procedureslimited functionality with using 'rules'noyes infobased on H2Java, Javascriptyes
TriggersCallbacks are triggered when data changesnoyesHooksyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesyes infobased on H2Multi-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesAtomic single-row operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlyes, based on authentication and database rulesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infobased on H2Access rights for users and roles; record level security configurableyes

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More resources
Firebase Realtime DatabaseGoogle Cloud BigtableH2GISOrientDBWakandaDB
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