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DBMS > Apache Phoenix vs. Google BigQuery vs. IBM Cloudant vs. Percona Server for MySQL

System Properties Comparison Apache Phoenix vs. Google BigQuery vs. IBM Cloudant vs. Percona Server for MySQL

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseLarge scale data warehouse service with append-only tablesDatabase as a Service offering based on Apache CouchDBEnhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.
Primary database modelRelational DBMSRelational DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score2.68
Rank#106  Overall
#20  Document stores
Score2.03
Rank#122  Overall
#57  Relational DBMS
Websitephoenix.apache.orgcloud.google.com/­bigquerywww.ibm.com/­products/­cloudantwww.percona.com/­software/­mysql-database/­percona-server
Technical documentationphoenix.apache.orgcloud.google.com/­bigquery/­docscloud.ibm.com/­docs/­Cloudantwww.percona.com/­downloads/­Percona-Server-LATEST
DeveloperApache Software FoundationGoogleIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Percona
Initial release2014201020102008
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20198.0.36-28, 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoGPL version 2
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaErlangC and C++
Server operating systemsLinux
Unix
Windows
hostedhostedLinux
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nononoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesyesnoyes
APIs and other access methodsJDBCRESTful HTTP/JSON APIRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
Ada
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsuser defined functions infoin JavaScriptView functions (Map-Reduce) in JavaScriptyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Multi-source replication
Source-replica replication
XtraDB Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying datano infoatomic operations within a document possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access rights for users can be defined per databaseUsers with fine-grained authorization concept infono user groups or roles

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Apache PhoenixGoogle BigQueryIBM CloudantPercona Server for MySQL
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