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DBMS > FileMaker vs. Google Cloud Spanner vs. Microsoft Azure SQL Database vs. Pinecone vs. TimesTen

System Properties Comparison FileMaker vs. Google Cloud Spanner vs. Microsoft Azure SQL Database vs. Pinecone vs. TimesTen

Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonPinecone  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Database as a Service offering with high compatibility to Microsoft SQL ServerA managed, cloud-native vector databaseAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelRelational DBMSRelational DBMSRelational DBMSVector DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score45.20
Rank#20  Overall
#14  Relational DBMS
Score2.69
Rank#101  Overall
#51  Relational DBMS
Score72.95
Rank#16  Overall
#11  Relational DBMS
Score3.02
Rank#87  Overall
#3  Vector DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitewww.claris.com/­filemakercloud.google.com/­spannerazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.pinecone.iowww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationwww.claris.com/­resources/­documentationcloud.google.com/­spanner/­docsdocs.microsoft.com/­en-us/­azure/­azure-sqldocs.pinecone.io/­docs/­overviewdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperClaris infoa subsidiary of AppleGoogleMicrosoftPinecone Systems, IncOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release19832017201020191998
Current release19.4.1, November 2021V12Release 22.1
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial
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++
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
hostedhostedhostedIBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesString, Number, Booleanyes
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.yes infoA http query request can return the data in XML formatnoyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infovia pluginsyes infoQuery statements complying to ANSI 2011yesnoyes
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
ADO.NET
JDBC
ODBC
RESTful HTTP APIODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesPHPGo
Java
JavaScript (Node.js)
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
PythonC
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresyesnoTransact SQLPL/SQL
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14Multi-source replication with 3 replicas for regional instances.yes, with always 3 replicas availableMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoStrict serializable isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
FileMakerGoogle Cloud SpannerMicrosoft Azure SQL Database infoformerly SQL AzurePineconeTimesTen
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