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DBMS > Apache Kylin vs. Apache Phoenix vs. Dolt vs. FileMaker vs. Microsoft Azure Synapse Analytics

System Properties Comparison Apache Kylin vs. Apache Phoenix vs. Dolt vs. FileMaker vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonApache Phoenix  Xexclude from comparisonDolt  Xexclude from comparisonFileMaker  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackA scale-out RDBMS with evolutionary schema built on Apache HBaseA MySQL compatible DBMS with Git-like versioning of data and schemaFileMaker is a cross-platform RDBMS that includes a GUI frontend.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitekylin.apache.orgphoenix.apache.orggithub.com/­dolthub/­dolt
www.dolthub.com
www.claris.com/­filemakerazure.microsoft.com/­services/­synapse-analytics
Technical documentationkylin.apache.org/­docsphoenix.apache.orgdocs.dolthub.comwww.claris.com/­resources/­documentationdocs.microsoft.com/­azure/­synapse-analytics
DeveloperApache Software Foundation, originally contributed from eBay IncApache Software FoundationDoltHub IncClaris infoa subsidiary of AppleMicrosoft
Initial release20152014201819832016
Current release3.1.0, July 20205.0-HBase2, July 2018 and 4.15-HBase1, December 201919.4.1, November 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaGoC++
Server operating systemsLinuxLinux
Unix
Windows
Linux
macOS
Windows
iOS infoclient part only
Linux
OS X
Windows
hosted
Data schemeyesyes infolate-bound, schema-on-read capabilitiesyesyesyes
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.nononoyes infoA http query request can return the data in XML formatno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)yesyesyes infovia pluginsyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCCLI Client
HTTP REST
Filemaker WebDirect
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
PHPC#
Java
PHP
Server-side scripts infoStored proceduresuser defined functionsyes infocurrently in alpha releaseyesTransact SQL
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
A database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Source-replica replication, warm standby infosince Version 14yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno 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 dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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 controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyOnly one user is configurable, and must be specified in the config file at startupsimple rights management via user accounts and connection to external directory servicesyes

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More resources
Apache KylinApache PhoenixDoltFileMakerMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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