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DBMS > Amazon Redshift vs. Amazon SimpleDB vs. SingleStore

System Properties Comparison Amazon Redshift vs. Amazon SimpleDB vs. SingleStore

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.21
Rank#38  Overall
#23  Relational DBMS
Score1.71
Rank#134  Overall
#23  Key-value stores
Score4.13
Rank#69  Overall
#37  Relational DBMS
Websiteaws.amazon.com/­redshiftaws.amazon.com/­simpledbwww.singlestore.com
Technical documentationdocs.aws.amazon.com/­redshiftdocs.aws.amazon.com/­simpledbdocs.singlestore.com
DeveloperAmazon (based on PostgreSQL)AmazonSingleStore Inc.
Initial release201220072013
Current release8.5, January 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++, Go
Server operating systemshostedhostedLinux info64 bit version required
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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 indexesrestrictedyes infoAll columns are indexed automaticallyyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoyes infobut no triggers and foreign keys
APIs and other access methodsJDBC
ODBC
RESTful HTTP APICluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnoyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoSharding must be implemented in the applicationSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoConcurrent data updates can be detected by the applicationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Fine grained access control via users, groups and roles

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More resources
Amazon RedshiftAmazon SimpleDBSingleStore infoformer name was MemSQL
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Recent citations in the news

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