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DBMS > Memgraph vs. MongoDB vs. QuestDB

System Properties Comparison Memgraph vs. MongoDB vs. QuestDB

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Editorial information provided by DB-Engines
NameMemgraph  Xexclude from comparisonMongoDB  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionA hybrid, in-memory first, distributed graph DBMS delivering high-performance on analytical and transactional workloads at enterprise scaleOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureA high performance open source SQL database for time series data
Primary database modelGraph DBMSDocument storeTime Series 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
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.71
Rank#236  Overall
#19  Graph DBMS
Score486.23
Rank#5  Overall
#1  Document stores
Score1.75
Rank#144  Overall
#10  Time Series DBMS
Websitememgraph.comwww.mongodb.comquestdb.io
Technical documentationdocs.memgraph.comdocs.mongodb.com/­manualquestdb.io/­docs/­introduction
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperMemgraph LtdMongoDB, IncQuestDB Limited
Initial release201720092014
Current release6.0.1, August 2022
License infoCommercial or Open Sourcecommercial infoFree license availableOpen 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 2.0
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)no
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.
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Implementation languageC and C++C++Java
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeschema-free and schema-optionalschema-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.yes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes
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 indexesyesno
SQL infoSupport of SQLnoRead-only SQL queries via the MongoDB Connector for BISQL-like query language
APIs and other access methodsBolt protocol
Cypher query language
proprietary protocol using JSONHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
Supported programming languages.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
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
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 infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresJavaScriptno
Triggersyes infoin MongoDB Atlas onlyno
Partitioning methods infoMethods for storing different data on different nodesSharding infodynamic graph partitioningSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.horizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Configurable consistency for N replicas
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsno infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infowith snapshot isolationMulti-document ACID Transactions with snapshot isolationACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes infooptional, enabled by defaultyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-memory storage engine introduced with MongoDB version 3.2yes infothrough memory mapped files
User concepts infoAccess controlUsers, roles and permissionsAccess rights for users and roles
More information provided by the system vendor
MemgraphMongoDBQuestDB
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
MongoDB’s application data platform provides developers a unified interface to power...
» more
Relational model with native time series support Column based storage and time partitioned...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
The MongoDB platform can be used by developers building transactional, operational,...
» more
Real-time data ingestion and istant SQL queries for time series High performance...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Internet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Application metrics Financial market data and algo trading DevOps monitoring Real-time...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metrics200+ million downloads, over 1.5M Atlas database clusters under management handling...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
Apache 2.0.
» more
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