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DBMS > Apache Impala vs. CouchDB vs. FileMaker vs. Microsoft Azure Synapse Analytics vs. PostGIS

System Properties Comparison Apache Impala vs. CouchDB vs. FileMaker vs. Microsoft Azure Synapse Analytics vs. PostGIS

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonFileMaker  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPostGIS  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerSpatial extension of PostgreSQL
Primary database modelRelational DBMSDocument storeRelational DBMSRelational DBMSSpatial DBMS
Secondary database modelsDocument storeSpatial DBMS infousing the Geocouch extensionRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score9.30
Rank#45  Overall
#7  Document stores
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Websiteimpala.apache.orgcouchdb.apache.orgwww.claris.com/­filemakerazure.microsoft.com/­services/­synapse-analyticspostgis.net
Technical documentationimpala.apache.org/­impala-docs.htmldocs.couchdb.org/­en/­stablewww.claris.com/­resources/­documentationdocs.microsoft.com/­azure/­synapse-analyticspostgis.net/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerClaris infoa subsidiary of AppleMicrosoft
Initial release20132005198320162005
Current release4.1.0, June 20223.3.3, December 202319.4.1, November 20213.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache version 2commercialcommercialOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ErlangC++C
Server operating systemsLinuxAndroid
BSD
Linux
OS X
Solaris
Windows
iOS infoclient part only
Linux
OS X
Windows
hosted
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonoyes infoA http query request can return the data in XML formatnoyes
Secondary indexesyesyes infovia viewsyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infovia pluginsyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON APIFilemaker WebDirect
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
PHPC#
Java
PHP
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceView functions in JavaScriptyesTransact SQLuser defined functions
Triggersnoyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoimproved architecture with release 2.0noneSharding, horizontal partitioningyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
Source-replica replication, warm standby infosince Version 14yesyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno 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 datanono infoatomic operations within a single document possiblenoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyesyes
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.nonono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users can be defined per databasesimple rights management via user accounts and connection to external directory servicesyesyes infobased on PostgreSQL

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Apache ImpalaCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"FileMakerMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePostGIS
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