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DBMS > Amazon CloudSearch vs. Amazon DocumentDB vs. EDB Postgres vs. Manticore Search

System Properties Comparison Amazon CloudSearch vs. Amazon DocumentDB vs. EDB Postgres vs. Manticore Search

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonEDB Postgres  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 serviceThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.Multi-storage database for search, including full-text search.
Primary database modelSearch engineDocument storeRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score1.91
Rank#131  Overall
#24  Document stores
Score1.91
Rank#130  Overall
#60  Relational DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Websiteaws.amazon.com/­cloudsearchaws.amazon.com/­documentdbwww.enterprisedb.commanticoresearch.com
Technical documentationdocs.aws.amazon.com/­cloudsearchaws.amazon.com/­documentdb/­resourceswww.enterprisedb.com/­docsmanual.manticoresearch.com
DeveloperAmazonEnterpriseDBManticore Software
Initial release2012201920052017
Current release14, December 20216.0, February 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial infoBSD for PostgreSQL-componentsOpen Source infoGPL version 2
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++
Server operating systemshostedhostedLinux
Windows
FreeBSD
Linux
macOS
Windows
Data schemeyesschema-freeyesFixed schema
Typing infopredefined data types such as float or dateyesyesyesInt, 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.noyes infospecific XML-type available, but no XML query functionality.Can index from XML
Secondary indexesyes infoall search fields are automatically indexedyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnonoyes infostandard with numerous extensionsSQL-like query language
APIs and other access methodsHTTP APIproprietary protocol using JSON (MongoDB compatible)ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnonouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functions
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednonehorizontal partitioning infoby hash, list or rangeSharding 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 replicasMulti-source replicationSynchronous 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
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleyesno
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, multi-version concurrency control (MVCC)yes
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.no
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users and rolesfine grained access rights according to SQL-standardno

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More resources
Amazon CloudSearchAmazon DocumentDBEDB PostgresManticore Search
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