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

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

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonInterbase  Xexclude from comparisonLMDB  Xexclude from comparisonMySQL  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesLight-weight proven RDBMS infooriginally from BorlandA high performant, light-weight, embedded key-value database libraryWidely used open source RDBMS
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score52.67
Rank#19  Overall
#13  Relational DBMS
Score3.78
Rank#77  Overall
#41  Relational DBMS
Score1.94
Rank#120  Overall
#20  Key-value stores
Score1029.49
Rank#2  Overall
#2  Relational DBMS
Websitecloud.google.com/­bigquerywww.embarcadero.com/­products/­interbasewww.symas.com/­symas-embedded-database-lmdbwww.mysql.com
Technical documentationcloud.google.com/­bigquery/­docsdocs.embarcadero.com/­products/­interbasewww.lmdb.tech/­docdev.mysql.com/­doc
DeveloperGoogleEmbarcaderoSymasOracle infosince 2010, originally MySQL AB, then Sun
Initial release2010198420111995
Current releaseInterBase 2020, December 20190.9.32, January 20249.0.0, July 2024
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoGPL version 2. Commercial licenses with extended functionallity are 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.
Implementation languageCCC and C++
Server operating systemshostedAndroid
iOS
Linux
OS X
Windows
Linux
Unix
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyes
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.nono infoexport as XML data possiblenoyes
Secondary indexesnoyesnoyes
SQL infoSupport of SQLyesyesnoyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
Object Pascal
PHP
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
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyes infoInterbase procedure and trigger languagenoyes infoproprietary syntax
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenonenonehorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesInterbase Change ViewsnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDACIDACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyes 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.noyesyesyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standardnoUsers with fine-grained authorization concept infono user groups or roles

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More resources
Google BigQueryInterbaseLMDBMySQL
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