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DBMS > Apache Phoenix vs. CouchDB vs. FileMaker vs. Microsoft Azure Synapse Analytics vs. ToroDB

System Properties Comparison Apache Phoenix vs. CouchDB vs. FileMaker vs. Microsoft Azure Synapse Analytics vs. ToroDB

Editorial information provided by DB-Engines
NameApache Phoenix  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 comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA 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 ServerA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSDocument storeRelational DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  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
Websitephoenix.apache.orgcouchdb.apache.orgwww.claris.com/­filemakerazure.microsoft.com/­services/­synapse-analyticsgithub.com/­torodb/­server
Technical documentationphoenix.apache.orgdocs.couchdb.org/­en/­stablewww.claris.com/­resources/­documentationdocs.microsoft.com/­azure/­synapse-analytics
DeveloperApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerClaris infoa subsidiary of AppleMicrosoft8Kdata
Initial release20142005198320162016
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.3.3, December 202319.4.1, November 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2commercialcommercialOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangC++Java
Server operating systemsLinux
Unix
Windows
Android
BSD
Linux
OS X
Solaris
Windows
iOS infoclient part only
Linux
OS X
Windows
hostedAll OS with a Java 7 VM
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesyes infostring, integer, double, boolean, date, object_id
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 formatnono
Secondary indexesyesyes infovia viewsyesyes
SQL infoSupport of SQLyesnoyes infovia pluginsyes
APIs and other access methodsJDBCRESTful HTTP/JSON APIFilemaker WebDirect
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
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 proceduresuser defined functionsView functions in JavaScriptyesTransact SQL
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoimproved architecture with release 2.0noneSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Source-replica replication, warm standby infosince Version 14yesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single document possiblenoACIDno
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.yesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users can be defined per databasesimple rights management via user accounts and connection to external directory servicesyesAccess rights for users and roles

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More resources
Apache PhoenixCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"FileMakerMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseToroDB
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