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DBMS > Google Cloud Firestore vs. Microsoft Azure SQL Database vs. OpenEdge vs. Oracle Berkeley DB

System Properties Comparison Google Cloud Firestore vs. Microsoft Azure SQL Database vs. OpenEdge vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonOpenEdge  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionCloud 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.Database as a Service offering with high compatibility to Microsoft SQL ServerApplication development environment with integrated database management systemWidely used in-process key-value store
Primary database modelDocument storeRelational DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Websitefirebase.google.com/­products/­firestoreazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.progress.com/­openedgewww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationfirebase.google.com/­docs/­firestoredocs.microsoft.com/­en-us/­azure/­azure-sqldocumentation.progress.com/­output/­ua/­OpenEdge_latestdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperGoogleMicrosoftProgress Software CorporationOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2017201019841994
Current releaseV12OpenEdge 12.2, March 202018.1.40, May 2020
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, Java, C++ (depending on the Berkeley DB edition)
Server operating systemshostedhostedAIX
HP-UX
Linux
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.noyesyesyes infoonly with the Berkeley DB XML edition
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesyes infoclose to SQL 92yes infoSQL interfaced based on SQLite is available
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Progress proprietary ABL (Advanced Business Language).Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud FunctionsTransact SQLyesno
Triggersyes, with Cloud Functionsyesyesyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infosince Version 11.4none
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes, with always 3 replicas availableSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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, 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-standardUsers and groupsno

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More resources
Google Cloud FirestoreMicrosoft Azure SQL Database infoformerly SQL AzureOpenEdgeOracle Berkeley DB
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