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DBMS > Amazon DocumentDB vs. Manticore Search vs. Yanza

System Properties Comparison Amazon DocumentDB vs. Manticore Search vs. Yanza

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonManticore Search  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceMulti-storage database for search, including full-text search.Time Series DBMS for IoT Applications
Primary database modelDocument storeSearch engineTime Series DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.22
Rank#312  Overall
#21  Search engines
Websiteaws.amazon.com/­documentdbmanticoresearch.comyanza.com
Technical documentationaws.amazon.com/­documentdb/­resourcesmanual.manticoresearch.com
DeveloperManticore SoftwareYanza
Initial release201920172015
Current release6.0, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2commercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedFreeBSD
Linux
macOS
Windows
Windows
Data schemeschema-freeFixed schemaschema-free
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanno
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.noCan index from XMLno
Secondary indexesyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLnoSQL-like query languageno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersnonoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSynchronous replication based on Galera librarynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno 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 integrityno infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsyes infoisolated transactions for atomic changes and binary logging for safe writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yes
User concepts infoAccess controlAccess rights for users and rolesnono

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More resources
Amazon DocumentDBManticore SearchYanza
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