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DBMS > Apache Impala vs. FileMaker vs. Ultipa

System Properties Comparison Apache Impala vs. FileMaker vs. Ultipa

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonFileMaker  Xexclude from comparisonUltipa  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopFileMaker is a cross-platform RDBMS that includes a GUI frontend.High performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument store
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
Score0.13
Rank#335  Overall
#31  Graph DBMS
Websiteimpala.apache.orgwww.claris.com/­filemakerwww.ultipa.com
Technical documentationimpala.apache.org/­impala-docs.htmlwww.claris.com/­resources/­documentationwww.ultipa.com/­document
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaClaris infoa subsidiary of AppleUltipa
Initial release201319832019
Current release4.1.0, June 202219.4.1, November 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemsLinuxiOS infoclient part only
Linux
OS X
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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 format
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infovia plugins
APIs and other access methodsJDBC
ODBC
Filemaker WebDirect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCPHPC++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication, warm standby infosince Version 14
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
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 services

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More resources
Apache ImpalaFileMakerUltipa
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