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DBMS > Google BigQuery vs. Hawkular Metrics vs. Percona Server for MySQL vs. RethinkDB

System Properties Comparison Google BigQuery vs. Hawkular Metrics vs. Percona Server for MySQL vs. RethinkDB

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparisonRethinkDB  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Enhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.DBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelRelational DBMSTime Series DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score2.10
Rank#119  Overall
#57  Relational DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Websitecloud.google.com/­bigquerywww.hawkular.orgwww.percona.com/­software/­mysql-database/­percona-serverrethinkdb.com
Technical documentationcloud.google.com/­bigquery/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.percona.com/­downloads/­Percona-Server-LATESTrethinkdb.com/­docs
DeveloperGoogleCommunity supported by Red HatPerconaThe Linux Foundation infosince July 2017
Initial release2010201420082009
Current release8.0.36-28, 20242.4.1, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGPL version 2Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C++
Server operating systemshostedLinux
OS X
Windows
LinuxLinux
OS X
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infostring, binary, float, bool, date, geometry
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.nonoyesno
Secondary indexesnonoyesyes
SQL infoSupport of SQLyesnoyesno
APIs and other access methodsRESTful HTTP/JSON APIHTTP RESTADO.NET
JDBC
ODBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Go
Java
Python
Ruby
Ada
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnoyes
Triggersnoyes infovia Hawkular AlertingyesClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
XtraDB Cluster
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying datanoACIDAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC based
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.nonoyesno
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)noUsers with fine-grained authorization concept infono user groups or rolesyes infousers and table-level permissions

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More resources
Google BigQueryHawkular MetricsPercona Server for MySQLRethinkDB
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