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DBMS > Amazon CloudSearch vs. Memgraph vs. OrigoDB vs. Riak TS vs. Yaacomo

System Properties Comparison Amazon CloudSearch vs. Memgraph vs. OrigoDB vs. Riak TS vs. Yaacomo

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonMemgraph  Xexclude from comparisonOrigoDB  Xexclude from comparisonRiak TS  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudAn open source graph database built for real-time streaming and compatible with Neo4jA fully ACID in-memory object graph databaseRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelSearch engineGraph DBMSDocument store
Object oriented DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.87
Rank#140  Overall
#12  Search engines
Score3.00
Rank#102  Overall
#8  Graph DBMS
Score0.03
Rank#378  Overall
#51  Document stores
#18  Object oriented DBMS
Score0.25
Rank#308  Overall
#26  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchmemgraph.comorigodb.comyaacomo.com
Technical documentationdocs.aws.amazon.com/­cloudsearchmemgraph.com/­docsorigodb.com/­docswww.tiot.jp/­riak-docs/­riak/­ts/­latest
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperAmazonMemgraph LtdRobert Friberg et alOpen Source, formerly Basho TechnologiesQ2WEB GmbH
Initial release201220172009 infounder the name LiveDB20152009
Current release3.0.0, September 2022
License infoCommercial or Open Sourcecommercialcommercial infoFree license availableOpen SourceOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C#Erlang
Server operating systemshostedLinuxLinux
Windows
Linux
OS X
Android
Linux
Windows
Data schemeyesschema-free and schema-optionalyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsnoyes
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 infocan be achieved using .NETnono
Secondary indexesyes infoall search fields are automatically indexedyesrestrictedyes
SQL infoSupport of SQLnononoyes, limitedyes
APIs and other access methodsHTTP APIBolt protocol
Cypher query language
.NET Client API
HTTP API
LINQ
HTTP API
Native Erlang Interface
JDBC
ODBC
Supported programming languages.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.NetC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnoyesErlang
Triggersnoyes infoDomain Eventsyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infodynamic graph partitioninghorizontal partitioning infoclient side managed; servers are not synchronizedShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replication using RAFTSource-replica replicationselectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsdepending on modelno infolinks between datasets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infowith snapshot isolationACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes infoWrite ahead logyesyes
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 signaturesUsers, roles and permissionsRole based authorizationnofine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon CloudSearchMemgraphOrigoDBRiak TSYaacomo
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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More resources
Amazon CloudSearchMemgraphOrigoDBRiak TSYaacomo
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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

Amazon's CloudSearch Stiffens Competition for Search as a Service Providers
26 April 2012, InfoQ.com

Amazon Takes On Google And Microsoft With CloudSearch
16 April 2012, Forbes

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

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