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DBMS > Amazon CloudSearch vs. Badger vs. BigchainDB vs. GigaSpaces vs. Google Cloud Firestore

System Properties Comparison Amazon CloudSearch vs. Badger vs. BigchainDB vs. GigaSpaces vs. Google Cloud Firestore

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonBadger  Xexclude from comparisonBigchainDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.BigchainDB is scalable blockchain database offering decentralization, immutability and native assetsHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsCloud 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 engineKey-value storeDocument storeDocument store
Object oriented DBMS infoValues are user defined objects
Document store
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.85
Rank#208  Overall
#35  Document stores
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Websiteaws.amazon.com/­cloudsearchgithub.com/­dgraph-io/­badgerwww.bigchaindb.comwww.gigaspaces.comfirebase.google.com/­products/­firestore
Technical documentationdocs.aws.amazon.com/­cloudsearchgodoc.org/­github.com/­dgraph-io/­badgerbigchaindb.readthedocs.io/­en/­latestdocs.gigaspaces.com/­latest/­landing.htmlfirebase.google.com/­docs/­firestore
DeveloperAmazonDGraph LabsGigaspaces TechnologiesGoogle
Initial release20122017201620002017
Current release15.5, September 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoAGPL v3Open Source infoApache Version 2; Commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoPythonJava, C++, .Net
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
LinuxLinux
macOS
Solaris
Windows
hosted
Data schemeyesschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnonoyesyes
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.nonono infoXML can be used for describing objects metadatano
Secondary indexesyes infoall search fields are automatically indexednoyesyes
SQL infoSupport of SQLnononoSQL-99 for query and DML statementsno
APIs and other access methodsHTTP APICLI Client
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesGoGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C++
Java
Python
Scala
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Server-side scripts infoStored proceduresnonoyesyes, Firebase Rules & Cloud Functions
Triggersnonoyes, event driven architectureyes, with Cloud Functions
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnoneselectable replication factorMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoMap-Reduce pattern can be built with XAP task executorsUsing Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlauthentication via encrypted signaturesnoyesRole-based access controlAccess 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 CloudSearchBadgerBigchainDBGigaSpacesGoogle Cloud Firestore
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