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DBMS > Firebird vs. Google Cloud Datastore vs. Microsoft Azure AI Search vs. Rockset vs. STSdb

System Properties Comparison Firebird vs. Google Cloud Datastore vs. Microsoft Azure AI Search vs. Rockset vs. STSdb

Editorial information provided by DB-Engines
NameFirebird  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRockset  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionFirebird is an open source RDBMS forked from Borland's InterBaseAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformSearch-as-a-service for web and mobile app developmentA scalable, reliable search and analytics service in the cloud, built on RocksDBKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSDocument storeSearch engineDocument storeKey-value store
Secondary database modelsVector DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score5.52
Rank#59  Overall
#6  Search engines
Score0.82
Rank#212  Overall
#36  Document stores
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitewww.firebirdsql.orgcloud.google.com/­datastoreazure.microsoft.com/­en-us/­services/­searchrockset.comgithub.com/­STSSoft/­STSdb4
Technical documentationwww.firebirdsql.org/­en/­reference-manualscloud.google.com/­datastore/­docslearn.microsoft.com/­en-us/­azure/­searchdocs.rockset.com
DeveloperFirebird FoundationGoogleMicrosoftRocksetSTS Soft SC
Initial release2000 infoAs fork of Borland's InterBase2008201520192011
Current release5.0.0, January 2024V14.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoInitial Developer's Public LicensecommercialcommercialcommercialOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++C#
Server operating systemsAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
hostedhostedhostedWindows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes, details hereyesdynamic typingyes infoprimitive types and user defined types (classes)
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 infoingestion from XML files supported
Secondary indexesyesyesyesall fields are automatically indexedno
SQL infoSupport of SQLyesSQL-like query language (GQL)noRead-only SQL queries, including JOINsno
APIs and other access methodsADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
RESTful HTTP APIHTTP REST.NET Client API
Supported programming languagesC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
JavaScript
Python
Go
Java
JavaScript (Node.js)
Python
C#
Java
Server-side scripts infoStored proceduresPSQLusing Google App Enginenonono
TriggersyesCallbacks using the Google Apps Enginenonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud serviceAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using Paxosyes infoImplicit feature of the cloud serviceyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyes infovia ReferenceProperties or Ancestor pathsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsnonono
Concurrency infoSupport for concurrent manipulation of datayes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyesyesyes
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.nono
User concepts infoAccess controlUsers with fine-grained authorization conceptAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infousing Azure authenticationAccess rights for users and organizations can be defined via Rockset consoleno

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More resources
FirebirdGoogle Cloud DatastoreMicrosoft Azure AI SearchRocksetSTSdb
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