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DBMS > Amazon CloudSearch vs. GreptimeDB vs. MongoDB vs. SQL.JS

System Properties Comparison Amazon CloudSearch vs. GreptimeDB vs. MongoDB vs. SQL.JS

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonGreptimeDB  Xexclude from comparisonMongoDB  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudAn open source Time Series DBMS built for increased scalability, high performance and efficiencyOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructurePort of SQLite to JavaScript
Primary database modelSearch engineTime Series DBMSDocument storeRelational DBMS
Secondary database modelsSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score421.65
Rank#5  Overall
#1  Document stores
Score0.53
Rank#252  Overall
#116  Relational DBMS
Websiteaws.amazon.com/­cloudsearchgreptime.comwww.mongodb.comsql.js.org
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.greptime.comwww.mongodb.com/­docs/­manualsql.js.org/­documentation/­index.html
DeveloperAmazonGreptime Inc.MongoDB, IncAlon Zakai infoenhancements implemented by others
Initial release2012202220092012
Current release6.0.7, June 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source
Cloud-based only infoOnly available as a cloud serviceyesnono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustC++JavaScript
Server operating systemshostedAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-free, schema definition possibleschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.yes
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes
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 indexesyes infoall search fields are automatically indexedyesyes
SQL infoSupport of SQLnoyesRead-only SQL queries via the MongoDB Atlas SQL Interfaceyes infoSQL-92 is not fully supported
APIs and other access methodsHTTP APIgRPC
HTTP API
JDBC
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
JavaScript API
Supported programming languagesC++
Erlang
Go
Java
JavaScript
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Kotlin
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
JavaScript
Server-side scripts infoStored proceduresnoPythonJavaScriptno
Triggersnoyes infoin MongoDB Atlas onlyno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.none
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
none
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-document ACID Transactions with snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infooptional, enabled by defaultno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-memory storage engine introduced with MongoDB version 3.2yes
User concepts infoAccess controlauthentication via encrypted signaturesSimple rights management via user accountsAccess rights for users and rolesno
More information provided by the system vendor
Amazon CloudSearchGreptimeDBMongoDBSQL.JS
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
MongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Built around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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More resources
Amazon CloudSearchGreptimeDBMongoDBSQL.JS
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