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DBMS > Amazon SimpleDB vs. Apache Impala vs. Google Cloud Spanner vs. Infobright

System Properties Comparison Amazon SimpleDB vs. Apache Impala vs. Google Cloud Spanner vs. Infobright

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache Impala  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonInfobright  Xexclude from comparison
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 HadoopA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score0.96
Rank#194  Overall
#91  Relational DBMS
Websiteaws.amazon.com/­simpledbimpala.apache.orgcloud.google.com/­spannerignitetech.com/­softwarelibrary/­infobrightdb
Technical documentationdocs.aws.amazon.com/­simpledbimpala.apache.org/­impala-docs.htmlcloud.google.com/­spanner/­docs
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaGoogleIgnite Technologies Inc.; formerly InfoBright Inc.
Initial release2007201320172005
Current release4.1.0, June 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialcommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016
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++C
Server operating systemshostedLinuxhostedLinux
Windows
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.nonono
Secondary indexesyes infoAll columns are indexed automaticallyyesyesno infoKnowledge Grid Technology used instead
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes infoQuery statements complying to ANSI 2011yes
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBCGo
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reducenono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorMulti-source replication with 3 replicas for regional instances.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyes infousing Google Cloud Dataflowno
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 integritynonoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnoACID infoStrict serializable isolationACID
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.nonoyes
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, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilities

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More resources
Amazon SimpleDBApache ImpalaGoogle Cloud SpannerInfobright
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Recent citations in the news

A Place for Everything – Amazon SimpleDB
14 December 2007, AWS Blog

Amazon DynamoDB Serves Trillions Of Requests Per Month While Counterpart SimpleDB Is No Longer A Listed ...
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Amazon SimpleDB Management in Eclipse
22 July 2009, AWS Blog

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22 September 2018, oreilly.com

Amazon Goes Back to the Future With 'NoSQL' Database
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14 October 2023, InfoQ.com

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