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DBMS > Firebase Realtime Database vs. Graph Engine vs. GridGain vs. Hawkular Metrics vs. OrigoDB

System Properties Comparison Firebase Realtime Database vs. Graph Engine vs. GridGain vs. Hawkular Metrics vs. OrigoDB

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonGridGain  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonOrigoDB  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.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineGridGain is an in-memory computing platform, built on Apache IgniteHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A fully ACID in-memory object graph database
Primary database modelDocument storeGraph DBMS
Key-value store
Key-value store
Relational DBMS
Time Series DBMSDocument store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.graphengine.iowww.gridgain.comwww.hawkular.orgorigodb.com
Technical documentationfirebase.google.com/­docs/­databasewww.graphengine.io/­docs/­manualwww.gridgain.com/­docs/­index.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guideorigodb.com/­docs
DeveloperGoogle infoacquired by Google 2014MicrosoftGridGain Systems, Inc.Community supported by Red HatRobert Friberg et al
Initial release20122010200720142009 infounder the name LiveDB
Current releaseGridGain 8.5.1
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicensecommercialOpen Source infoApache 2.0Open Source
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 language.NET and CJava, C++, .NetJavaC#
Server operating systemshosted.NETLinux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesUser defined using .NET types and collections
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.nonoyesnono infocan be achieved using .NET
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnonoANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP REST.NET Client API
HTTP API
LINQ
Supported programming languagesJava
JavaScript
Objective-C
C#
C++
F#
Visual Basic
C#
C++
Java
PHP
Python
Ruby
Scala
Go
Java
Python
Ruby
.Net
Server-side scripts infoStored procedureslimited functionality with using 'rules'yesyes (compute grid and cache interceptors can be used instead)noyes
TriggersCallbacks are triggered when data changesnoyes (cache interceptors and events)yes infovia Hawkular Alertingyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infobased on Cassandrahorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)selectable replication factor infobased on CassandraSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonononodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlyes, based on authentication and database rulesSecurity Hooks for custom implementationsnoRole based authorization

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More resources
Firebase Realtime DatabaseGraph Engine infoformer name: TrinityGridGainHawkular MetricsOrigoDB
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