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DBMS > Apache Impala vs. FileMaker vs. Linter vs. Microsoft Azure Synapse Analytics vs. Yaacomo

System Properties Comparison Apache Impala vs. FileMaker vs. Linter vs. Microsoft Azure Synapse Analytics vs. Yaacomo

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonFileMaker  Xexclude from comparisonLinter  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionAnalytic DBMS for HadoopFileMaker is a cross-platform RDBMS that includes a GUI frontend.RDBMS for high security requirementsElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websiteimpala.apache.orgwww.claris.com/­filemakerlinter.ruazure.microsoft.com/­services/­synapse-analyticsyaacomo.com
Technical documentationimpala.apache.org/­impala-docs.htmlwww.claris.com/­resources/­documentationdocs.microsoft.com/­azure/­synapse-analytics
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaClaris infoa subsidiary of Applerelex.ruMicrosoftQ2WEB GmbH
Initial release20131983199020162009
Current release4.1.0, June 202219.4.1, November 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and C++C++
Server operating systemsLinuxiOS infoclient part only
Linux
OS X
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
hostedAndroid
Linux
Windows
Data schemeyesyesyesyesyes
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.noyes infoA http query request can return the data in XML formatnonono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infovia pluginsyesyesyes
APIs and other access methodsJDBC
ODBC
Filemaker WebDirect
JDBC
ODBC
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
ADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCPHPC
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C#
Java
PHP
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesyes infoproprietary syntax with the possibility to convert from PL/SQLTransact SQL
Triggersnoyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding, horizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication, warm standby infosince Version 14Source-replica replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno 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 datanonoACIDACIDACID
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 rights for users, groups and roles infobased on Apache Sentry and Kerberossimple rights management via user accounts and connection to external directory servicesfine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standard

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More resources
Apache ImpalaFileMakerLinterMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseYaacomo
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