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DBMS > Amazon CloudSearch vs. OrigoDB vs. SingleStore vs. SpatiaLite

System Properties Comparison Amazon CloudSearch vs. OrigoDB vs. SingleStore vs. SpatiaLite

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonOrigoDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA fully ACID in-memory object graph databaseMySQL 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 typeSpatial extension of SQLite
Primary database modelSearch engineDocument store
Object oriented DBMS
Relational DBMSSpatial DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score5.38
Rank#62  Overall
#35  Relational DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Websiteaws.amazon.com/­cloudsearchorigodb.comwww.singlestore.comwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdocs.aws.amazon.com/­cloudsearchorigodb.com/­docsdocs.singlestore.comwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperAmazonRobert Friberg et alSingleStore Inc.Alessandro Furieri
Initial release20122009 infounder the name LiveDB20132008
Current release8.5, January 20245.0.0, August 2020
License infoCommercial or Open SourcecommercialOpen Sourcecommercial infofree developer edition availableOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageC#C++, GoC++
Server operating systemshostedLinux
Windows
Linux info64 bit version requiredserver-less
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyesyes
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.no infocan be achieved using .NETnono
Secondary indexesyes infoall search fields are automatically indexedyesyesyes
SQL infoSupport of SQLnonoyes infobut no triggers and foreign keysyes
APIs and other access methodsHTTP API.NET Client API
HTTP API
LINQ
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languages.NetBash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesyesno
Triggersnoyes infoDomain Eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredhorizontal partitioning infoclient side managed; servers are not synchronizedSharding infohash partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSSource-replica replicationSource-replica replication infostores two copies of each physical data partition on two separate nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynodepending on modelnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlauthentication via encrypted signaturesRole based authorizationFine grained access control via users, groups and rolesno
More information provided by the system vendor
Amazon CloudSearchOrigoDBSingleStore infoformer name was MemSQLSpatiaLite
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon CloudSearchOrigoDBSingleStore infoformer name was MemSQLSpatiaLite
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Recent citations in the news

Amazon CloudSearch – Start Searching in One Hour for Less Than $100 / Month | Amazon Web Services
12 April 2012, AWS Blog

Searching CloudTrail Logs Easily with Amazon CloudSearch | AWS Startups Blog
21 October 2014, AWS Blog

AWS, Microsoft and Google should retire these cloud services
2 June 2020, TechTarget

CloudSearch Update – Price Reduction, Hebrew & Japanese Support, Partitioning, CloudTrail | Amazon Web Services
19 November 2014, AWS Blog

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