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DBMS > DuckDB vs. GeoMesa vs. Oracle

System Properties Comparison DuckDB vs. GeoMesa vs. Oracle

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Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonOracle  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Widely used RDBMS
Primary database modelRelational DBMSSpatial DBMSRelational 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
Score4.57
Rank#74  Overall
#40  Relational DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score1236.29
Rank#1  Overall
#1  Relational DBMS
Websiteduckdb.orgwww.geomesa.orgwww.oracle.com/­database
Technical documentationduckdb.org/­docswww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.oracle.com/­en/­database
DeveloperCCRi and othersOracle
Initial release201820141980
Current release0.10, February 20244.0.5, February 202423c, September 2023
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache License 2.0commercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ScalaC and C++
Server operating systemsserver-lessAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Data schemeyesyesyes 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.nonoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyesnoyes infowith proprietary extensions
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
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 proceduresnonoPL/SQL infoalso stored procedures in Java possible
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonedepending on storage layerSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonedepending on storage layerMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno infocan be realized in PL/SQL
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoisolation level can be parameterized
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesdepending on storage layeryes infoVersion 12c introduced the new option 'Oracle Database In-Memory'
User concepts infoAccess controlnoyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standard

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More resources
DuckDBGeoMesaOracle
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Conferences, events and webinars

Oracle Cloud World
Las Vegas, 9-12 September 2024

Recent citations in the news

My First Billion (of Rows) in DuckDB | by João Pedro | May, 2024
1 May 2024, Towards Data Science

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12 March 2024, InfoQ.com

DuckDB Walks to the Beat of Its Own Analytics Drum
5 March 2024, Datanami

DuckDB and AWS — How to Aggregate 100 Million Rows in 1 Minute
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