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DBMS > Apache Impala vs. Google BigQuery vs. Graphite vs. MySQL

System Properties Comparison Apache Impala vs. Google BigQuery vs. Graphite vs. MySQL

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonGraphite  Xexclude from comparisonMySQL  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopLarge scale data warehouse service with append-only tablesData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperWidely used open source RDBMS
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score61.90
Rank#19  Overall
#13  Relational DBMS
Score4.75
Rank#75  Overall
#5  Time Series DBMS
Score1087.72
Rank#2  Overall
#2  Relational DBMS
Websiteimpala.apache.orgcloud.google.com/­bigquerygithub.com/­graphite-project/­graphite-webwww.mysql.com
Technical documentationimpala.apache.org/­impala-docs.htmlcloud.google.com/­bigquery/­docsgraphite.readthedocs.iodev.mysql.com/­doc
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaGoogleChris DavisOracle infosince 2010, originally MySQL AB, then Sun
Initial release2013201020061995
Current release4.1.0, June 20228.3.0, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache 2.0Open Source infoGPL version 2. Commercial licenses with extended functionallity are available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++PythonC and C++
Server operating systemsLinuxhostedLinux
Unix
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes
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 indexesyesnonoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnoyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON APIHTTP API
Sockets
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functions infoin JavaScriptnoyes infoproprietary syntax
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonehorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoSince BigQuery is designed for querying datanoACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingyes infotable locks or row locks depending on storage engine
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.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess 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 roles

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More resources
Apache ImpalaGoogle BigQueryGraphiteMySQL
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