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DBMS > Amazon Aurora vs. GeoSpock

System Properties Comparison Amazon Aurora vs. GeoSpock

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Our visitors often compare Amazon Aurora and GeoSpock with DuckDB, Redis and CockroachDB.

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonGeoSpock  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonSpatial and temporal data processing engine for extreme data scale
Primary database modelRelational DBMSRelational DBMS
Secondary database modelsDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.11
Rank#44  Overall
#28  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorageospock.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.html
DeveloperAmazonGeoSpock
Initial release2015
Current release2.0, September 2019
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, Javascript
Server operating systemshostedhosted
Data schemeyesyes
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.yesno
Secondary indexesyestemporal, categorical
SQL infoSupport of SQLyesANSI SQL for query only (using Presto)
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per table

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More resources
Amazon AuroraGeoSpock
DB-Engines blog posts

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3 August 2015, Matthias Gelbmann

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Recent citations in the news

Vacasa’s migration to Amazon Aurora for a more efficient Property Management System
9 January 2025, AWS Blog

Introducing Amazon Aurora DSQL | Amazon Web Services
3 December 2024, AWS Blog

Amazon Aurora PostgreSQL Limitless Database is now generally available
31 October 2024, AWS Blog

Introducing scaling to 0 capacity with Amazon Aurora Serverless v2
20 November 2024, AWS Blog

Introducing scaling up to 256 ACUs with Amazon Aurora Serverless v2
8 October 2024, AWS Blog

provided by Google News

How GeoSpock is supercharging geospatial analytics
23 February 2021, ComputerWeekly.com

Big data processing techniques to streamline analytics
5 October 2018, TechTarget

Harnessing the true potential of geospatial data
15 October 2018, Geospatial World

Tech City UK reveals 33 rising tech stars for Upscale 2017
26 January 2017, BusinessCloud

Trends in the geospatial data market for 2020
22 July 2020, Ordnance Survey

provided by Google News



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