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

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

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonLMDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonOracle  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesA high performant, light-weight, embedded key-value database libraryOperational and transactional Enterprise NoSQL databaseWidely used RDBMS
Primary database modelRelational DBMSKey-value storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational 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
Score2.09
Rank#121  Overall
#20  Key-value stores
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score1244.08
Rank#1  Overall
#1  Relational DBMS
Websitecloud.google.com/­bigquerywww.symas.com/­symas-embedded-database-lmdbwww.marklogic.comwww.oracle.com/­database
Technical documentationcloud.google.com/­bigquery/­docswww.lmdb.tech/­docdocs.marklogic.comdocs.oracle.com/­en/­database
DeveloperGoogleSymasMarkLogic Corp.Oracle
Initial release2010201120011980
Current release0.9.32, January 202411.0, December 202223c, September 2023
License infoCommercial or Open SourcecommercialOpen Sourcecommercial inforestricted free version is availablecommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++C and C++
Server operating systemshostedLinux
Unix
Windows
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Data schemeyesschema-freeschema-free infoSchema can be enforcedyes 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 infoSQL92yes infowith proprietary extensions
APIs and other access methodsRESTful HTTP/JSON APIJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
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
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
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 infovia XQuery or JavaScriptPL/SQL infoalso stored procedures in Java possible
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno infocan be realized in PL/SQL
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDACID infocan act as a resource manager in an XA/JTA transactionACID 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.noyesyes, with Range Indexesyes 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)noRole-based access control at the document and subdocument levelsfine grained access rights according to SQL-standard

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Google BigQueryLMDBMarkLogicOracle
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