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DBMS > Amazon CloudSearch vs. Firebase Realtime Database vs. Hazelcast vs. Linter vs. OpenMLDB

System Properties Comparison Amazon CloudSearch vs. Firebase Realtime Database vs. Hazelcast vs. Linter vs. OpenMLDB

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHazelcast  Xexclude from comparisonLinter  Xexclude from comparisonOpenMLDB  Xexclude from comparison
DescriptionA 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.A widely adopted in-memory data gridRDBMS for high security requirementsAn open-source machine learning database that provides a feature platform for training and inference
Primary database modelSearch engineDocument storeKey-value storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Spatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#133  Overall
#12  Search engines
Score13.60
Rank#39  Overall
#6  Document stores
Score5.72
Rank#59  Overall
#6  Key-value stores
Score0.03
Rank#368  Overall
#156  Relational DBMS
Score0.11
Rank#339  Overall
#30  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchfirebase.google.com/­products/­realtime-databasehazelcast.comlinter.ruopenmldb.ai
Technical documentationdocs.aws.amazon.com/­cloudsearchfirebase.google.com/­docs/­databasehazelcast.org/­imdg/­docsopenmldb.ai/­docs/­zh/­main
DeveloperAmazonGoogle infoacquired by Google 2014Hazelcastrelex.ru4 Paradigm Inc.
Initial release20122012200819902020
Current release5.3.6, November 20232024-2 February 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source
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 languageJavaC and C++C++, Java, Scala
Server operating systemshostedhostedAll OS with a Java VMAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
Data schemeyesschema-freeschema-freeyesFixed schema
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyes infothe object must implement a serialization strategynono
Secondary indexesyes infoall search fields are automatically indexedyesyesyesyes
SQL infoSupport of SQLnonoSQL-like query languageyesyes
APIs and other access methodsHTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
JDBC
SQLAlchemy
Supported programming languagesJava
JavaScript
Objective-C
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'yes infoEvent Listeners, Executor Servicesyes infoproprietary syntax with the possibility to convert from PL/SQLno
TriggersnoCallbacks are triggered when data changesyes infoEventsyesno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyes infoReplicated MapSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
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 or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesone or two-phase-commit; repeatable reads; read commitedACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesyes
User concepts infoAccess controlauthentication via encrypted signaturesyes, based on authentication and database rulesRole-based access controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Amazon CloudSearchFirebase Realtime DatabaseHazelcastLinterOpenMLDB
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