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DBMS > Apache Phoenix vs. FileMaker vs. Google BigQuery vs. Hive vs. IBM Cloudant

System Properties Comparison Apache Phoenix vs. FileMaker vs. Google BigQuery vs. Hive vs. IBM Cloudant

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonFileMaker  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonHive  Xexclude from comparisonIBM Cloudant  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseFileMaker is a cross-platform RDBMS that includes a GUI frontend.Large scale data warehouse service with append-only tablesdata warehouse software for querying and managing large distributed datasets, built on HadoopDatabase as a Service offering based on Apache CouchDB
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score2.68
Rank#106  Overall
#20  Document stores
Websitephoenix.apache.orgwww.claris.com/­filemakercloud.google.com/­bigqueryhive.apache.orgwww.ibm.com/­products/­cloudant
Technical documentationphoenix.apache.orgwww.claris.com/­resources/­documentationcloud.google.com/­bigquery/­docscwiki.apache.org/­confluence/­display/­Hive/­Homecloud.ibm.com/­docs/­Cloudant
DeveloperApache Software FoundationClaris infoa subsidiary of AppleGoogleApache Software Foundation infoinitially developed by FacebookIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014
Initial release20141983201020122010
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201919.4.1, November 20213.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaErlang
Server operating systemsLinux
Unix
Windows
iOS infoclient part only
Linux
OS X
Windows
hostedAll OS with a Java VMhosted
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 formatnono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesyes infovia pluginsyesSQL-like DML and DDL statementsno
APIs and other access methodsJDBCFilemaker WebDirect
JDBC
ODBC
RESTful HTTP/JSON APIJDBC
ODBC
Thrift
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
PHP.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C++
Java
PHP
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
Server-side scripts infoStored proceduresuser defined functionsyesuser defined functions infoin JavaScriptyes infouser defined functions and integration of map-reduceView functions (Map-Reduce) in JavaScript
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replication, warm standby infosince Version 14selectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonoyes infoquery execution via MapReduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoSince BigQuery is designed for querying datanono infoatomic operations within a document possible
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoOptimistic locking
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.yesnono
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancysimple rights management via user accounts and connection to external directory servicesAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access rights for users, groups and rolesAccess rights for users can be defined per database

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Apache PhoenixFileMakerGoogle BigQueryHiveIBM Cloudant
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