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DBMS > Google BigQuery vs. LMDB vs. MySQL vs. Oracle

System Properties Comparison Google BigQuery vs. LMDB vs. MySQL vs. Oracle

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonLMDB  Xexclude from comparisonMySQL  Xexclude from comparisonOracle  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesA high performant, light-weight, embedded key-value database libraryWidely used open source RDBMSWidely used RDBMS
Primary database modelRelational DBMSKey-value storeRelational DBMS infoKey/Value like access via memcached APIRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.90
Rank#19  Overall
#13  Relational DBMS
Score2.33
Rank#118  Overall
#21  Key-value stores
Score1087.72
Rank#2  Overall
#2  Relational DBMS
Score1234.27
Rank#1  Overall
#1  Relational DBMS
Websitecloud.google.com/­bigquerywww.symas.com/­symas-embedded-database-lmdbwww.mysql.comwww.oracle.com/­database
Technical documentationcloud.google.com/­bigquery/­docswww.lmdb.tech/­docdev.mysql.com/­docdocs.oracle.com/­en/­database
DeveloperGoogleSymasOracle infosince 2010, originally MySQL AB, then SunOracle
Initial release2010201119951980
Current release0.9.32, January 20248.3.0, January 202423c, September 2023
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availablecommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageCC and C++C and C++
Server operating systemshostedLinux
Unix
Windows
FreeBSD
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Data schemeyesschema-freeyesyes infoSchemaless in JSON and XML columns
Typing infopredefined data types such as float or dateyesyesyes
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.nonoyesyes
Secondary indexesnonoyesyes
SQL infoSupport of SQLyesnoyes infowith proprietary extensionsyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
Proprietary native API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnoyes infoproprietary syntaxPL/SQL infoalso stored procedures in Java possible
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioning, sharding with MySQL Cluster or MySQL FabricSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infocan be realized in PL/SQL
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDACID infonot for MyISAM storage engineACID infoisolation level can be parameterized
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
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.noyesyesyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'
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 rolesfine grained access rights according to SQL-standard

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Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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Navicat for MySQL is the ideal solution for MySQL/MariaDB administration and development.
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CData: Connect to Big Data & NoSQL through standard Drivers.
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Navicat Monitor is a safe, simple and agentless remote server monitoring tool for MySQL and many other database management systems.
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Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
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Devart ODBC driver for Oracle accesses Oracle databases from ODBC-compliant reporting, analytics, BI, and ETL tools on both 32 and 64-bit Windows, macOS, and Linux.
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Navicat for Oracle improves the efficiency and productivity of Oracle developers and administrators with a streamlined working environment.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Google BigQueryLMDBMySQLOracle
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