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DBMS > MongoDB vs. Qdrant vs. SpaceTime

System Properties Comparison MongoDB vs. Qdrant vs. SpaceTime

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Editorial information provided by DB-Engines
NameMongoDB  Xexclude from comparisonQdrant  Xexclude from comparisonSpaceTime  Xexclude from comparison
DescriptionOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureA high-performance vector database with neural network or semantic-based matchingSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelDocument storeVector DBMSSpatial DBMS
Secondary database modelsSpatial 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
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score423.96
Rank#5  Overall
#1  Document stores
Score1.23
Rank#171  Overall
#6  Vector DBMS
Score0.00
Rank#396  Overall
#8  Spatial DBMS
Websitewww.mongodb.comgithub.com/­qdrant/­qdrant
qdrant.tech
www.mireo.com/­spacetime
Technical documentationwww.mongodb.com/­docs/­manualqdrant.tech/­documentation
DeveloperMongoDB, IncQdrantMireo
Initial release200920212020
Current release6.0.7, June 2023
License infoCommercial or Open SourceOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceno 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 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 languageC++RustC++
Server operating systemsLinux
OS X
Solaris
Windows
Docker
Linux
macOS
Windows
Linux
Data schemeschema-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
Typing infopredefined data types such as float or dateyes infostring, integer, double, decimal, boolean, date, object_id, geospatialNumbers, Strings, Geo, 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.nono
Secondary indexesyesyes infoKeywords, numberic ranges, geo, full-textno
SQL infoSupport of SQLRead-only SQL queries via the MongoDB Atlas SQL InterfacenoA subset of ANSI SQL is implemented
APIs and other access methodsGraphQL
HTTP REST
Prisma
proprietary protocol using JSON
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
RESTful HTTP API
Supported programming languagesActionscript 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
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C#
C++
Python
Server-side scripts infoStored proceduresJavaScriptno
Triggersyes infoin MongoDB Atlas onlyno
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.ShardingFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Collection-level replicationReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Eventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataMulti-document ACID Transactions with snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infooptional, enabled by defaultyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-memory storage engine introduced with MongoDB version 3.2yesno
User concepts infoAccess controlAccess rights for users and rolesKey-based authenticationyes
More information provided by the system vendor
MongoDBQdrantSpaceTime
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
MongoDBQdrantSpaceTime
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Conferences, events and webinars

Intro to MongoDB
Webinar, 11am ET, 1 May 2024

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