DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Amazon DocumentDB vs. InterSystems IRIS vs. Manticore Search vs. Sequoiadb

System Properties Comparison Amazon DocumentDB vs. InterSystems IRIS vs. Manticore Search vs. Sequoiadb

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonManticore Search  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityMulti-storage database for search, including full-text search.NewSQL database with distributed OLTP and SQL
Primary database modelDocument storeDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Search engineDocument store
Relational 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
Score3.54
Rank#84  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.intersystems.com/­products/­intersystems-irismanticoresearch.comwww.sequoiadb.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsmanual.manticoresearch.comwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperInterSystemsManticore SoftwareSequoiadb Ltd.
Initial release2019201820172013
Current release2023.3, June 20236.0, February 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2Open Source infoServer: AGPL; Client: Apache V2
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++
Server operating systemshostedAIX
Linux
macOS
Ubuntu
Windows
FreeBSD
Linux
macOS
Windows
Linux
Data schemeschema-freedepending on used data modelFixed schemaschema-free
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes infooid, date, timestamp, binary, regex
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 XMLno
Secondary indexesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoyesSQL-like query languageSQL-like query language
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
proprietary protocol using JSON
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C++
Java
JavaScript (Node.js)
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnoyesuser defined functionsJavaScript
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding 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 replicasSource-replica replicationSynchronous replication based on Galera librarySource-replica 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 possibleyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDyes infoisolated transactions for atomic changes and binary logging for safe writesDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.yesno
User concepts infoAccess controlAccess rights for users and rolesyesnosimple password-based access control
More information provided by the system vendor
Amazon DocumentDBInterSystems IRISManticore SearchSequoiadb
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon DocumentDBInterSystems IRISManticore SearchSequoiadb
Recent citations in the news

A hybrid approach for homogeneous migration to an Amazon DocumentDB elastic cluster | Amazon Web Services
4 June 2024, AWS Blog

AWS announces Amazon DocumentDB zero-ETL integration with Amazon OpenSearch Service
16 May 2024, AWS Blog

Use LangChain and vector search on Amazon DocumentDB to build a generative AI chatbot | Amazon Web Services
20 May 2024, AWS Blog

Vector search for Amazon DocumentDB (with MongoDB compatibility) is now generally available | Amazon Web Services
29 November 2023, AWS Blog

AWS announces Amazon DocumentDB I/O-Optimized
21 November 2023, AWS Blog

provided by Google News

Unlocking the Power of Generative AI: InterSystems IRIS with Vector Search -
26 March 2024, HIT Consultant

Consultmed moving its e-referral software to InterSystems's IRIS for Health and more briefs
5 May 2024, Mobihealth News

InterSystems collaborates with Imagelink Software to accelerate digital transformation for Malaysian government and ...
24 April 2024, PR Newswire

InterSystems and IPA's Subsidiary BioStrand Collaborate to Unveil the Innovative Integration of Vector Search with ...
28 March 2024, Business Wire

InterSystems expands InterSystems IRIS data platform with vector search to support next-generation AI applications
16 April 2024, ITWeb

provided by Google News

Integrating Manticore Search with Apache Superset
8 August 2023, hackernoon.com

Clickhouse vs Elasticsearch vs Manticore Search Query Times With a 1.7B NYC Taxi Rides Benchmark
1 June 2022, hackernoon.com

Manticore is a Faster Alternative to Elasticsearch in C++
25 July 2022, hackernoon.com

8 Google Alternatives: How to Search Crypto, the Dark Web, More
1 February 2023, Gizmodo

Highlighting in Search Results
24 May 2020, hackernoon.com

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here