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DBMS > Amazon SimpleDB vs. Apache Impala vs. GeoSpock vs. PostGIS

System Properties Comparison Amazon SimpleDB vs. Apache Impala vs. GeoSpock vs. PostGIS

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache Impala  Xexclude from comparisonGeoSpock  Xexclude from comparisonPostGIS  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreAnalytic DBMS for HadoopSpatial and temporal data processing engine for extreme data scaleSpatial extension of PostgreSQL
Primary database modelKey-value storeRelational DBMSRelational DBMSSpatial DBMS
Secondary database modelsDocument storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#139  Overall
#24  Key-value stores
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score23.90
Rank#29  Overall
#1  Spatial DBMS
Websiteaws.amazon.com/­simpledbimpala.apache.orggeospock.compostgis.net
Technical documentationdocs.aws.amazon.com/­simpledbimpala.apache.org/­impala-docs.htmlpostgis.net/­documentation
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaGeoSpock
Initial release200720132005
Current release4.1.0, June 20222.0, September 20193.4.2, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, JavascriptC
Server operating systemshostedLinuxhosted
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesyes infoAll columns are indexed automaticallyyestemporal, categoricalyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsANSI SQL for query only (using Presto)yes
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
JDBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reducenouser defined functions
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingAutomatic shardingyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnonoACID
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.nonono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users can be defined per tableyes infobased on PostgreSQL

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More resources
Amazon SimpleDBApache ImpalaGeoSpockPostGIS
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Recent citations in the news

Amazon SimpleDB Management in Eclipse | AWS News Blog
22 July 2009, AWS Blog

Hands-on Tutorial for Getting Started with Amazon SimpleDB
28 May 2010, Packt Hub

Amazon DynamoDB Serves Trillions Of Requests Per Month While Counterpart SimpleDB Is No Longer A Listed Product On AWS
12 November 2013, TechCrunch

Amazon Goes Back to the Future With 'NoSQL' Database
19 January 2012, WIRED

Bungee Connect Opens up and Adds Amazon SimpleDB Access | Amazon Web Services
22 February 2008, AWS Blog

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Apache Impala becomes Top-Level Project
28 November 2017, SDTimes.com

Cloudera Bringing Impala to AWS Cloud
28 November 2017, Datanami

Apache Doris just 'graduated': Why care about this SQL data warehouse
24 June 2022, InfoWorld

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12 March 2017, Uber

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27 October 2017, KDnuggets

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

nChain Leads Investment Round in Extreme-scale Data Firm GeoSpock
2 October 2020, AlexaBlockchain

GeoSpock receives $5.4m as strategic investment
5 October 2020, Geospatial World

GeoSpock’s extreme-scale data mission in $5.4m funding boost
8 October 2020, Cambridge Independent

Smart Cities, Autonomous Vehicles, Artificial General Intelligence Robotics: Q&A with Steve Marsh, GeoSpock
16 May 2018, ExchangeWire

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