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DBMS > Amazon DocumentDB vs. Graph Engine vs. Manticore Search vs. YTsaurus

System Properties Comparison Amazon DocumentDB vs. Graph Engine vs. Manticore Search vs. YTsaurus

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NameAmazon DocumentDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonManticore Search  Xexclude from comparisonYTsaurus  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineMulti-storage database for search, including full-text search.YTsaurus is an open source platform for distributed storage and processing.
Primary database modelDocument storeGraph DBMS
Key-value store
Search engineDocument store
Key-value store
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#124  Overall
#22  Document stores
Score0.56
Rank#241  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.23
Rank#301  Overall
#21  Search engines
Score0.15
Rank#323  Overall
#44  Document stores
#47  Key-value stores
Websiteaws.amazon.com/­documentdbwww.graphengine.iomanticoresearch.comytsaurus.tech
Technical documentationaws.amazon.com/­documentdb/­resourceswww.graphengine.io/­docs/­manualmanual.manticoresearch.comytsaurus.tech/­docs/­en
DeveloperMicrosoftManticore SoftwareYandex
Initial release2019201020172023
Current release6.0, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoGPL version 2Open Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation language.NET and CC++C++
Server operating systemshosted.NETFreeBSD
Linux
macOS
Windows
Ubuntu
Data schemeschema-freeyesFixed schema
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.nonoCan index from XMLno
Secondary indexesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnonoSQL-like query languageYQL, an SQL-based language, is supported
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP APIBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
C++
F#
Visual Basic
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresnoyesuser defined functions
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
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 libraryyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 operationsnoyes infoisolated transactions for atomic changes and binary logging for safe writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and rolesnoAccess Control Lists

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More resources
Amazon DocumentDBGraph Engine infoformer name: TrinityManticore SearchYTsaurus
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