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DBMS > Google Cloud Bigtable vs. Google Cloud Firestore vs. Interbase vs. Quasardb

System Properties Comparison Google Cloud Bigtable vs. Google Cloud Firestore vs. Interbase vs. Quasardb

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonInterbase  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Cloud 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.Light-weight proven RDBMS infooriginally from BorlandDistributed, high-performance timeseries database
Primary database modelKey-value store
Wide column store
Document storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score7.85
Rank#51  Overall
#8  Document stores
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitecloud.google.com/­bigtablefirebase.google.com/­products/­firestorewww.embarcadero.com/­products/­interbasequasar.ai
Technical documentationcloud.google.com/­bigtable/­docsfirebase.google.com/­docs/­firestoredocs.embarcadero.com/­products/­interbasedoc.quasar.ai/­master
DeveloperGoogleGoogleEmbarcaderoquasardb
Initial release2015201719842009
Current releaseInterBase 2020, December 20193.14.1, January 2024
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++
Server operating systemshostedhostedAndroid
iOS
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyesyes infointeger and binary
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 infoexport as XML data possibleno
Secondary indexesnoyesyesyes infowith tags
SQL infoSupport of SQLnonoyesSQL-like query language
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
ODBC
HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud Functionsyes infoInterbase procedure and trigger languageno
Triggersnoyes, with Cloud Functionsyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replicationInterbase Change ViewsSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesUsing Cloud Dataflownowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient mode
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.fine grained access rights according to SQL-standardCryptographically strong user authentication and audit trail

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More resources
Google Cloud BigtableGoogle Cloud FirestoreInterbaseQuasardb
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