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DBMS > IBM Cloudant vs. Manticore Search vs. MongoDB vs. Riak TS vs. Weaviate

System Properties Comparison IBM Cloudant vs. Manticore Search vs. MongoDB vs. Riak TS vs. Weaviate

Editorial information provided by DB-Engines
NameIBM Cloudant  Xexclude from comparisonManticore Search  Xexclude from comparisonMongoDB  Xexclude from comparisonRiak TS  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionDatabase as a Service offering based on Apache CouchDBMulti-storage database for search, including full-text search.One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelDocument storeSearch engineDocument storeTime Series DBMSVector DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibrarySpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#95  Overall
#18  Document stores
Score0.23
Rank#301  Overall
#21  Search engines
Score410.24
Rank#5  Overall
#1  Document stores
Score0.17
Rank#318  Overall
#27  Time Series DBMS
Score1.48
Rank#149  Overall
#8  Vector DBMS
Websitewww.ibm.com/­products/­cloudantmanticoresearch.comwww.mongodb.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationcloud.ibm.com/­docs/­Cloudantmanual.manticoresearch.comwww.mongodb.com/­docs/­manualwww.tiot.jp/­riak-docs/­riak/­ts/­latestweaviate.io/­developers/­weaviate
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Manticore SoftwareMongoDB, IncOpen Source, formerly Basho TechnologiesWeaviate B.V.
Initial release20102017200920152019
Current release6.0, February 20237.0.5, January 20243.0.0, September 20221.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2Open Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open SourceOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud serviceyesnono infoMongoDB available as DBaaS (MongoDB Atlas)nono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • MongoDB Flex @ STACKIT offers managed MongoDB Instances with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
  • MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.
Implementation languageErlangC++C++ErlangGo
Server operating systemshostedFreeBSD
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Data schemeschema-freeFixed schemaschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.schema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or datenoInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes infostring, integer, double, decimal, boolean, date, object_id, geospatialnoyes infostring, int, float, geo point, date, cross reference, fuzzy references
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 fieldsyesrestrictedyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoSQL-like query languageRead-only SQL queries via the MongoDB Atlas SQL Interfaceyes, limitedGraphQL is used as query language
APIs and other access methodsRESTful HTTP/JSON APIBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
HTTP API
Native Erlang Interface
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Kotlin
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptuser defined functionsJavaScriptErlangno
Triggersyesnoyes infoin MongoDB Atlas onlyyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Synchronous replication based on Galera libraryMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
selectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono infotypically not used, however similar functionality with DBRef possibleno infolinks between datasets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possibleyes infoisolated transactions for atomic changes and binary logging for safe writesMulti-document ACID Transactions with snapshot isolationnono
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingyesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yes infooptional, enabled by defaultyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoIn-memory storage engine introduced with MongoDB version 3.2yes
User concepts infoAccess controlAccess rights for users can be defined per databasenoAccess rights for users and rolesnoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
IBM CloudantManticore SearchMongoDBRiak TSWeaviate
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Weaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
Flexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
As a database supporting the development of generative AI and semantic search applications...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
All companies that have data. ​
» more
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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More resources
IBM CloudantManticore SearchMongoDBRiak TSWeaviate
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