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DBMS > FileMaker vs. GeoMesa vs. Microsoft Azure Data Explorer vs. Pinecone

System Properties Comparison FileMaker vs. GeoMesa vs. Microsoft Azure Data Explorer vs. Pinecone

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Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonGeoMesa  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Fully managed big data interactive analytics platformA managed, cloud-native vector database
Primary database modelRelational DBMSSpatial DBMSRelational DBMS infocolumn orientedVector DBMS
Secondary database modelsDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score45.20
Rank#20  Overall
#14  Relational DBMS
Score0.78
Rank#214  Overall
#4  Spatial DBMS
Score3.28
Rank#83  Overall
#45  Relational DBMS
Score3.02
Rank#87  Overall
#3  Vector DBMS
Websitewww.claris.com/­filemakerwww.geomesa.orgazure.microsoft.com/­services/­data-explorerwww.pinecone.io
Technical documentationwww.claris.com/­resources/­documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.microsoft.com/­en-us/­azure/­data-explorerdocs.pinecone.io/­docs/­overview
DeveloperClaris infoa subsidiary of AppleCCRi and othersMicrosoftPinecone Systems, Inc
Initial release1983201420192019
Current release19.4.1, November 20215.0.1, July 2024cloud service with continuous releases
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScala
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
hostedhosted
Data schemeyesyesFixed schema with schema-less datatypes (dynamic)
Typing infopredefined data types such as float or dateyesyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesString, Number, Boolean
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 formatnoyesno
Secondary indexesyesyesall fields are automatically indexed
SQL infoSupport of SQLyes infovia pluginsnoKusto Query Language (KQL), SQL subsetno
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
RESTful HTTP API
Supported programming languagesPHP.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Python
Server-side scripts infoStored proceduresyesnoYes, possible languages: KQL, Python, R
Triggersyesnoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitioning methods infoMethods for storing different data on different nodesnonedepending on storage layerSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14depending on storage layeryes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesSpark connector (open source): github.com/­Azure/­azure-kusto-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.depending on storage layernono
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesyes infodepending on the DBMS used for storageAzure Active Directory Authentication

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More resources
FileMakerGeoMesaMicrosoft Azure Data ExplorerPinecone
DB-Engines blog posts

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