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DBMS > Amazon CloudSearch vs. Apache Pinot vs. Google Cloud Firestore

System Properties Comparison Amazon CloudSearch vs. Apache Pinot vs. Google Cloud Firestore

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonApache Pinot  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.
Primary database modelSearch engineRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#133  Overall
#12  Search engines
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score6.63
Rank#54  Overall
#9  Document stores
Websiteaws.amazon.com/­cloudsearchpinot.apache.orgfirebase.google.com/­products/­firestore
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.pinot.apache.orgfirebase.google.com/­docs/­firestore
DeveloperAmazonApache Software Foundation and contributorsGoogle
Initial release201220152017
Current release1.0.0, September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedAll OS with a Java JDK11 or higherhosted
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.no
Secondary indexesyes infoall search fields are automatically indexedyes
SQL infoSupport of SQLnoSQL-like query languageno
APIs and other access methodsHTTP APIJDBCAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesGo
Java
Python
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud Functions
Triggersnoyes, with Cloud Functions
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredhorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.

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More resources
Amazon CloudSearchApache PinotGoogle Cloud Firestore
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