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DBMS > Amazon CloudSearch vs. ArangoDB vs. PlanetScale vs. SQream DB

System Properties Comparison Amazon CloudSearch vs. ArangoDB vs. PlanetScale vs. SQream DB

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonArangoDB  Xexclude from comparisonPlanetScale  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.Scalable, distributed, serverless MySQL database platform built on top of Vitessa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelSearch engineDocument store
Graph DBMS
Key-value store
Search engine
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#133  Overall
#12  Search engines
Score3.30
Rank#82  Overall
#14  Document stores
#5  Graph DBMS
#10  Key-value stores
#10  Search engines
Score1.09
Rank#178  Overall
#82  Relational DBMS
Score0.62
Rank#234  Overall
#109  Relational DBMS
Websiteaws.amazon.com/­cloudsearcharangodb.complanetscale.comsqream.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.arangodb.complanetscale.com/­docsdocs.sqream.com
Social network pagesLinkedInTwitterFacebookYouTubeInstagram
DeveloperAmazonArangoDB Inc.PlanetScaleSQream Technologies
Initial release2012201220202017
Current release3.11.5, November 20232022.1.6, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial license (Enterprise) availablecommercialcommercial
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.
ArangoDB Cloud –The Managed Cloud Service of ArangoDB. Provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour.
Implementation languageC++GoC++, CUDA, Haskell, Java, Scala
Server operating systemshostedLinux
OS X
Windows
Docker
Linux
macOS
Linux
Data schemeyesschema-free infoautomatically recognizes schema within a collectionyesyes
Typing infopredefined data types such as float or dateyesyes infostring, double, boolean, list, hashyesyes, ANSI Standard SQL Types
Secondary indexesyes infoall search fields are automatically indexedyesyesno
SQL infoSupport of SQLnonoyes infowith proprietary extensionsyes
APIs and other access methodsHTTP APIAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
ADO.NET
JDBC
MySQL protocol
ODBC
.Net
JDBC
ODBC
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoJavaScriptyes infoproprietary syntaxuser defined functions in Python
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infosince version 2.0Shardinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSSource-replica replication with configurable replication factorMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan be done with stored procedures in JavaScriptnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Eventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID at shard levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
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.yes
User concepts infoAccess controlauthentication via encrypted signaturesyesUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
Amazon CloudSearchArangoDBPlanetScaleSQream DB
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Market metricsArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more

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More resources
Amazon CloudSearchArangoDBPlanetScaleSQream DB
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