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DBMS > Google BigQuery vs. Google Cloud Spanner vs. LMDB vs. Oracle

System Properties Comparison Google BigQuery vs. Google Cloud Spanner vs. LMDB vs. Oracle

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonLMDB  Xexclude from comparisonOracle  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.A high performant, light-weight, embedded key-value database libraryWidely used RDBMS
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument 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
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score2.09
Rank#121  Overall
#20  Key-value stores
Score1244.08
Rank#1  Overall
#1  Relational DBMS
Websitecloud.google.com/­bigquerycloud.google.com/­spannerwww.symas.com/­symas-embedded-database-lmdbwww.oracle.com/­database
Technical documentationcloud.google.com/­bigquery/­docscloud.google.com/­spanner/­docswww.lmdb.tech/­docdocs.oracle.com/­en/­database
DeveloperGoogleGoogleSymasOracle
Initial release2010201720111980
Current release0.9.32, January 202423c, September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Sourcecommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC and C++
Server operating systemshostedhostedLinux
Unix
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Data schemeyesyesschema-freeyes 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.nononoyes
Secondary indexesnoyesnoyes
SQL infoSupport of SQLyesyes infoQuery statements complying to ANSI 2011noyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP/JSON APIgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
.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
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 JavaScriptnonoPL/SQL infoalso stored procedures in Java possible
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono infocan be realized in PL/SQL
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACID infoStrict serializable isolationACIDACID infoisolation level can be parameterized
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyesyes 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)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nofine grained access rights according to SQL-standard

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More resources
Google BigQueryGoogle Cloud SpannerLMDBOracle
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