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DBMS > eXtremeDB vs. FileMaker vs. Graph Engine vs. Microsoft Azure Synapse Analytics

System Properties Comparison eXtremeDB vs. FileMaker vs. Graph Engine vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonFileMaker  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringFileMaker is a cross-platform RDBMS that includes a GUI frontend.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSGraph DBMS
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitewww.mcobject.comwww.claris.com/­filemakerwww.graphengine.ioazure.microsoft.com/­services/­synapse-analytics
Technical documentationwww.mcobject.com/­docs/­extremedb.htmwww.claris.com/­resources/­documentationwww.graphengine.io/­docs/­manualdocs.microsoft.com/­azure/­synapse-analytics
DeveloperMcObjectClaris infoa subsidiary of AppleMicrosoftMicrosoft
Initial release2001198320102016
Current release8.2, 202119.4.1, November 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT Licensecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++.NET and CC++
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
iOS infoclient part only
Linux
OS X
Windows
.NEThosted
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.no infosupport of XML interfaces availableyes infoA http query request can return the data in XML formatnono
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infowith the option: eXtremeSQLyes infovia pluginsnoyes
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Filemaker WebDirect
JDBC
ODBC
RESTful HTTP APIADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
PHPC#
C++
F#
Visual Basic
C#
Java
PHP
Server-side scripts infoStored proceduresyesyesyesTransact SQL
Triggersyes infoby defining eventsyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingnonehorizontal partitioningSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Source-replica replication, warm standby infosince Version 14yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesyes
More information provided by the system vendor
eXtremeDBFileMakerGraph Engine infoformer name: TrinityMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
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Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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More resources
eXtremeDBFileMakerGraph Engine infoformer name: TrinityMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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