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DBMS > Amazon CloudSearch vs. Amazon DocumentDB vs. Faircom EDGE vs. Manticore Search

System Properties Comparison Amazon CloudSearch vs. Amazon DocumentDB vs. Faircom EDGE vs. Manticore Search

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonManticore Search  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudFast, scalable, highly available, and fully managed MongoDB-compatible database serviceFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsMulti-storage database for search, including full-text search.
Primary database modelSearch engineDocument storeKey-value store
Relational DBMS
Search engine
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#133  Overall
#12  Search engines
Score1.91
Rank#124  Overall
#22  Document stores
Score0.02
Rank#370  Overall
#55  Key-value stores
#157  Relational DBMS
Score0.23
Rank#301  Overall
#21  Search engines
Websiteaws.amazon.com/­cloudsearchaws.amazon.com/­documentdbwww.faircom.com/­products/­faircom-edgemanticoresearch.com
Technical documentationdocs.aws.amazon.com/­cloudsearchaws.amazon.com/­documentdb/­resourcesdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlmanual.manticoresearch.com
DeveloperAmazonFairCom CorporationManticore Software
Initial release2012201919792017
Current releaseV3, October 20206.0, February 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial infoRestricted, free version availableOpen Source infoGPL version 2
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++C++
Server operating systemshostedhostedAndroid
Linux infoARM, x86
Raspbian
Windows
FreeBSD
Linux
macOS
Windows
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)Fixed schema
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL TypesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean
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.noyesCan index from XML
Secondary indexesyes infoall search fields are automatically indexedyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnonoyes infoANSI SQL queriesSQL-like query language
APIs and other access methodsHTTP APIproprietary protocol using JSON (MongoDB compatible)ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnonoyes info.Net, JavaScript, C/C++user defined functions
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednoneFile partitioning infoCustomizable business rules for partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes infoSynchronous and asynchronous realtime replication based on transaction logsSynchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleyes infowhen using SQLno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-document operationsACIDyes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Manticore index.
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 signaturesAccess rights for users and rolesFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.no

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More resources
Amazon CloudSearchAmazon DocumentDBFaircom EDGE infoformerly c-treeEDGEManticore Search
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