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DBMS > Amazon CloudSearch vs. Elasticsearch vs. Memgraph vs. Riak TS

System Properties Comparison Amazon CloudSearch vs. Elasticsearch vs. Memgraph vs. Riak TS

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonElasticsearch  Xexclude from comparisonMemgraph  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricAn open source graph database built for real-time streaming and compatible with Neo4jRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelSearch engineSearch engineGraph DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score135.35
Rank#7  Overall
#1  Search engines
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchwww.elastic.co/­elasticsearchmemgraph.com
Technical documentationdocs.aws.amazon.com/­cloudsearchwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlmemgraph.com/­docswww.tiot.jp/­riak-docs/­riak/­ts/­latest
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperAmazonElasticMemgraph LtdOpen Source, formerly Basho Technologies
Initial release2012201020172015
Current release8.6, January 20233.0.0, September 2022
License infoCommercial or Open SourcecommercialOpen Source infoElastic LicenseOpen Source infoBSL 1.1; commercial license for enterprise edition availableOpen Source
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.
Implementation languageJavaC and C++Erlang
Server operating systemshostedAll OS with a Java VMLinuxLinux
OS X
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 search fields are automatically indexedyes infoAll search fields are automatically indexedrestricted
SQL infoSupport of SQLnoSQL-like query languagenoyes, limited
APIs and other access methodsHTTP APIJava API
RESTful HTTP/JSON API
Bolt protocol
Cypher query language
HTTP API
Native Erlang Interface
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C 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 infoby using the 'percolation' featureyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingSharding infodynamic graph partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesMulti-source replication using RAFTselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyes inforelationships in graphsno infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infowith snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyes
User concepts infoAccess controlauthentication via encrypted signaturesUsers, roles and permissionsno
More information provided by the system vendor
Amazon CloudSearchElasticsearchMemgraphRiak TS
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 CloudSearchElasticsearchMemgraphRiak TS
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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

Is Amazon CloudSearch superior to do-it-yourself search tools?
24 January 2014, TechTarget

Amazon CloudSearch – Even Better Searching for Less Than $100/Month | Amazon Web Services
24 March 2014, AWS Blog

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

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