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

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

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonLMDB  Xexclude from comparisonOracle  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Large scale data warehouse service with append-only tablesA high performant, light-weight, embedded key-value database libraryWidely used RDBMS
Primary database modelDocument store
Relational DBMS
Relational 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
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score2.09
Rank#121  Overall
#20  Key-value stores
Score1244.08
Rank#1  Overall
#1  Relational DBMS
Websitewww.databricks.comcloud.google.com/­bigquerywww.symas.com/­symas-embedded-database-lmdbwww.oracle.com/­database
Technical documentationdocs.databricks.comcloud.google.com/­bigquery/­docswww.lmdb.tech/­docdocs.oracle.com/­en/­database
DeveloperDatabricksGoogleSymasOracle
Initial release2013201020111980
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 schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyes infoSchemaless in JSON and XML columns
Typing infopredefined data types such as float or dateyesyes
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.yesnonoyes
Secondary indexesyesnonoyes
SQL infoSupport of SQLwith Databricks SQLyesnoyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesPython
R
Scala
.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++
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 and aggregatesuser defined functions infoin JavaScriptnoPL/SQL infoalso stored procedures in Java possible
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan be realized in PL/SQL
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataACIDACID 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)nofine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksGoogle BigQueryLMDBOracle
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksGoogle BigQueryLMDBOracle
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