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DBMS > Amazon DocumentDB vs. Manticore Search vs. Sadas Engine vs. VictoriaMetrics

System Properties Comparison Amazon DocumentDB vs. Manticore Search vs. Sadas Engine vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonManticore Search  Xexclude from comparisonSadas Engine  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceMulti-storage database for search, including full-text search.SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelDocument storeSearch engineRelational DBMSTime 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#131  Overall
#24  Document stores
Score0.29
Rank#302  Overall
#21  Search engines
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websiteaws.amazon.com/­documentdbmanticoresearch.comwww.sadasengine.comvictoriametrics.com
Technical documentationaws.amazon.com/­documentdb/­resourcesmanual.manticoresearch.comwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperManticore SoftwareSADAS s.r.l.VictoriaMetrics
Initial release2019201720062018
Current release6.0, February 20238.0v1.91, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2commercial infofree trial version availableOpen Source infoApache 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 languageC++C++Go
Server operating systemshostedFreeBSD
Linux
macOS
Windows
AIX
Linux
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeFixed schemayes
Typing infopredefined data types such as float or dateyesInt, 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.noCan index from XMLnono
Secondary indexesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoSQL-like query languageyesno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JDBC
ODBC
Proprietary protocol
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning
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 librarynoneSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesno
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 datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlAccess rights for users and rolesnoAccess rights for users, groups and roles according to SQL-standard

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More resources
Amazon DocumentDBManticore SearchSadas EngineVictoriaMetrics
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