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DBMS > FileMaker vs. Google Cloud Firestore vs. Kyligence Enterprise vs. Microsoft Azure Synapse Analytics vs. Splice Machine

System Properties Comparison FileMaker vs. Google Cloud Firestore vs. Kyligence Enterprise vs. Microsoft Azure Synapse Analytics vs. Splice Machine

Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.Cloud 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.A distributed analytics engine for big data, built on top of Apache KylinElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSDocument storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.claris.com/­filemakerfirebase.google.com/­products/­firestorekyligence.io/­kyligence-enterpriseazure.microsoft.com/­services/­synapse-analyticssplicemachine.com
Technical documentationwww.claris.com/­resources/­documentationfirebase.google.com/­docs/­firestoredocs.microsoft.com/­azure/­synapse-analyticssplicemachine.com/­how-it-works
DeveloperClaris infoa subsidiary of AppleGoogleKyligence, Inc.MicrosoftSplice Machine
Initial release19832017201620162014
Current release19.4.1, November 20213.1, March 2021
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Java
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
hostedLinuxhostedLinux
OS X
Solaris
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 formatnonono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infovia pluginsnoANSI SQL for queries (using Apache Calcite)yesyes
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesPHPGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
Java
PHP
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesyes, Firebase Rules & Cloud FunctionsTransact SQLyes infoJava
Triggersyesyes, with Cloud Functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding, horizontal partitioningShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14Multi-source replicationyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud DataflowyesnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
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.noyes
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. Security Rules for 3rd party authentication using Firebase Auth.yesAccess rights for users, groups and roles according to SQL-standard

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More resources
FileMakerGoogle Cloud FirestoreKyligence EnterpriseMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSplice Machine
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