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DBMS > Amazon CloudSearch vs. FeatureBase vs. Firebase Realtime Database vs. IBM Db2 Event Store vs. OrigoDB

System Properties Comparison Amazon CloudSearch vs. FeatureBase vs. Firebase Realtime Database vs. IBM Db2 Event Store vs. OrigoDB

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonFeatureBase  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Distributed Event Store optimized for Internet of Things use casesA fully ACID in-memory object graph database
Primary database modelSearch engineRelational DBMSDocument storeEvent Store
Time Series DBMS
Document store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websiteaws.amazon.com/­cloudsearchwww.featurebase.comfirebase.google.com/­products/­realtime-databasewww.ibm.com/­products/­db2-event-storeorigodb.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.featurebase.comfirebase.google.com/­docs/­databasewww.ibm.com/­docs/­en/­db2-event-storeorigodb.com/­docs
DeveloperAmazonMolecula and Pilosa Open Source ContributorsGoogle infoacquired by Google 2014IBMRobert Friberg et al
Initial release20122017201220172009 infounder the name LiveDB
Current release2022, May 20222.0
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infofree developer edition availableOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++C#
Server operating systemshostedLinux
macOS
hostedLinux infoLinux, macOS, Windows for the developer additionLinux
Windows
Data schemeyesyesschema-freeyesyes
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.nononono infocan be achieved using .NET
Secondary indexesyes infoall search fields are automatically indexednoyesnoyes
SQL infoSupport of SQLnoSQL queriesnoyes infothrough the embedded Spark runtimeno
APIs and other access methodsHTTP APIgRPC
JDBC
Kafka Connector
ODBC
Android
iOS
JavaScript API
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
Supported programming languagesJava
Python
Java
JavaScript
Objective-C
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'yesyes
TriggersnonoCallbacks are triggered when data changesnoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesActive-active shard replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency
Foreign keys infoReferential integritynoyesnonodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyes, using Linux fsyncyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlauthentication via encrypted signaturesyes, based on authentication and database rulesfine grained access rights according to SQL-standardRole based authorization

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More resources
Amazon CloudSearchFeatureBaseFirebase Realtime DatabaseIBM Db2 Event StoreOrigoDB
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