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DBMS > BigObject vs. Google BigQuery vs. Graphite vs. Linter vs. MySQL

System Properties Comparison BigObject vs. Google BigQuery vs. Graphite vs. Linter vs. MySQL

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonGraphite  Xexclude from comparisonLinter  Xexclude from comparisonMySQL  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesLarge scale data warehouse service with append-only tablesData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperRDBMS for high security requirementsWidely used open source RDBMS
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSTime Series DBMSRelational DBMSRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score1061.34
Rank#2  Overall
#2  Relational DBMS
Websitebigobject.iocloud.google.com/­bigquerygithub.com/­graphite-project/­graphite-weblinter.ruwww.mysql.com
Technical documentationdocs.bigobject.iocloud.google.com/­bigquery/­docsgraphite.readthedocs.iodev.mysql.com/­doc
DeveloperBigObject, Inc.GoogleChris Davisrelex.ruOracle infosince 2010, originally MySQL AB, then Sun
Initial release20152010200619901995
Current release8.4.0, April 2024
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen Source infoApache 2.0commercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC and C++C and C++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedLinux
Unix
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyesyes
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.nonononoyes
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesnoyesyes infowith proprietary extensions
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIHTTP API
Sockets
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
JavaScript (Node.js)
Python
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
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 proceduresLuauser defined functions infoin JavaScriptnoyes infoproprietary syntax with the possibility to convert from PL/SQLyes infoproprietary syntax
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenonenonenonehorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnonoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoSince BigQuery is designed for querying datanoACIDACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes infolockingyesyes infotable locks or row locks depending on storage engine
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.yesnoyes
User concepts infoAccess controlnoAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)nofine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles

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More resources
BigObjectGoogle BigQueryGraphiteLinterMySQL
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