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DBMS > Amazon DocumentDB vs. Firebird vs. Google Cloud Firestore vs. Pinecone vs. SwayDB

System Properties Comparison Amazon DocumentDB vs. Firebird vs. Google Cloud Firestore vs. Pinecone vs. SwayDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonFirebird  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonPinecone  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceFirebird is an open source RDBMS forked from Borland's InterBaseCloud 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.A managed, cloud-native vector databaseAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelDocument storeRelational DBMSDocument storeVector DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Score3.23
Rank#92  Overall
#2  Vector DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Websiteaws.amazon.com/­documentdbwww.firebirdsql.orgfirebase.google.com/­products/­firestorewww.pinecone.ioswaydb.simer.au
Technical documentationaws.amazon.com/­documentdb/­resourceswww.firebirdsql.org/­en/­reference-manualsfirebase.google.com/­docs/­firestoredocs.pinecone.io/­docs/­overview
DeveloperFirebird FoundationGooglePinecone Systems, IncSimer Plaha
Initial release20192000 infoAs fork of Borland's InterBase201720192018
Current release5.0.0, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoInitial Developer's Public LicensecommercialcommercialOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++Scala
Server operating systemshostedAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
hostedhosted
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesString, Number, Booleanno
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
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoyesnonono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
PythonJava
Kotlin
Scala
Server-side scripts infoStored proceduresnoPSQLyes, Firebase Rules & Cloud Functionsno
Triggersnoyesyes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replicationMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDyesAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyesyes
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.noyes
User concepts infoAccess controlAccess rights for users and rolesUsers with fine-grained authorization conceptAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.no

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More resources
Amazon DocumentDBFirebirdGoogle Cloud FirestorePineconeSwayDB
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