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DBMS > DuckDB vs. GeoMesa vs. Splice Machine

System Properties Comparison DuckDB vs. GeoMesa vs. Splice Machine

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Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonSplice Machine  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.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.35
Rank#54  Overall
#32  Relational DBMS
Score0.73
Rank#213  Overall
#4  Spatial DBMS
Score0.54
Rank#238  Overall
#112  Relational DBMS
Websiteduckdb.orgwww.geomesa.orgsplicemachine.com
Technical documentationduckdb.org/­docswww.geomesa.org/­documentation/­stable/­user/­index.htmlsplicemachine.com/­how-it-works
DeveloperCCRi and othersSplice Machine
Initial release201820142014
Current release1.0.0, June 20245.0.1, July 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache License 2.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ScalaJava
Server operating systemsserver-lessLinux
OS X
Solaris
Windows
Data schemeyesyesyes
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
Secondary indexesyesyesyes
SQL infoSupport of SQLyesnoyes
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
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++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnonoyes infoJava
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonedepending on storage layerShared Nothhing Auto-Sharding, Columnar 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 methodsnoyesYes, via Full Spark Integration
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
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes, multi-version concurrency control (MVCC)
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
User concepts infoAccess controlnoyes infodepending on the DBMS used for storageAccess rights for users, groups and roles according to SQL-standard

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More resources
DuckDBGeoMesaSplice Machine
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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Polars & DuckDB in the JSONgle
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DuckDB + Webassembly = WhatTheDuck
2 January 2025, iProgrammer

My First Billion (of Rows) in DuckDB
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