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DBMS > AgensGraph vs. Amazon CloudSearch vs. Firebase Realtime Database vs. Oracle Berkeley DB vs. OrigoDB

System Properties Comparison AgensGraph vs. Amazon CloudSearch vs. Firebase Realtime Database vs. Oracle Berkeley DB vs. OrigoDB

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAmazon CloudSearch  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA hosted search engine service by Amazon with the data stored in Amazons cloudCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Widely used in-process key-value storeA fully ACID in-memory object graph database
Primary database modelGraph DBMS
Relational DBMS
Search engineDocument storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score1.85
Rank#137  Overall
#12  Search engines
Score14.29
Rank#39  Overall
#6  Document stores
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websitebitnine.net/­agensgraphaws.amazon.com/­cloudsearchfirebase.google.com/­products/­realtime-databasewww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlorigodb.com
Technical documentationbitnine.net/­documentationdocs.aws.amazon.com/­cloudsearchfirebase.google.com/­docs/­databasedocs.oracle.com/­cd/­E17076_05/­html/­index.htmlorigodb.com/­docs
DeveloperBitnine Global Inc.AmazonGoogle infoacquired by Google 2014Oracle infooriginally developed by Sleepycat, which was acquired by OracleRobert Friberg et al
Initial release20162012201219942009 infounder the name LiveDB
Current release2.1, December 201818.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercialOpen Source infocommercial license availableOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC, Java, C++ (depending on the Berkeley DB edition)C#
Server operating systemsLinux
OS X
Windows
hostedhostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Windows
Data schemedepending on used data modelyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoUser 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.nonoyes infoonly with the Berkeley DB XML editionno infocan be achieved using .NET
Secondary indexesyesyes infoall search fields are automatically indexedyesyesyes
SQL infoSupport of SQLyesnonoyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsCypher Query Language
JDBC
HTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
.NET Client API
HTTP API
LINQ
Supported programming languagesC
Java
JavaScript
Python
Java
JavaScript
Objective-C
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
.Net
Server-side scripts infoStored proceduresyesnolimited functionality with using 'rules'noyes
TriggersnonoCallbacks are triggered when data changesyes infoonly for the SQL APIyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceyes infoautomatic partitioning across Amazon Search Instance as requirednonehorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infomanaged transparently by AWSSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Foreign keys infoReferential integrityyesnononodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardauthentication via encrypted signaturesyes, based on authentication and database rulesnoRole based authorization

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More resources
AgensGraphAmazon CloudSearchFirebase Realtime DatabaseOracle Berkeley DBOrigoDB
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