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DBMS > HEAVY.AI vs. MongoDB vs. QuestDB

System Properties Comparison HEAVY.AI vs. MongoDB vs. QuestDB

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMongoDB  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareOne 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 modelRelational DBMSDocument storeTime Series DBMS
Secondary database modelsSpatial DBMSSpatial 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
Score1.29
Rank#153  Overall
#73  Relational DBMS
Score478.24
Rank#5  Overall
#1  Document stores
Score1.19
Rank#161  Overall
#12  Time Series DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.mongodb.comquestdb.io
Technical documentationdocs.heavy.aidocs.mongodb.com/­manualquestdb.io/­docs/­introduction
DeveloperHEAVY.AI, Inc.MongoDB, IncQuestDB Limited
Initial release201620092014
Current release5.10, January 20225.0.8, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition 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

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Implementation languageC++ and CUDAC++Java
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyesschema-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 indexesnoyesno
SQL infoSupport of SQLyesRead-only SQL queries via the MongoDB Connector for BISQL-like query language
APIs and other access methodsJDBC
ODBC
Thrift
Vega
proprietary protocol using JSONHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
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
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 proceduresnoJavaScriptno
Triggersnoyes infoin MongoDB Atlas onlyno
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinSharding 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 replicationMulti-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 integritynono infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-document ACID Transactions with snapshot isolationACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes 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 controlfine grained access rights according to SQL-standardAccess rights for users and roles
More information provided by the system vendor
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022MongoDBQuestDB
Specific characteristicsOptimizes memory and compute layers to deliver unprecedented performance. Natively...
» 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 advantagesOnly HEAVY.AI allows users to visually and interactively discover high-value patterns,...
» 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 scenariosAdvanced analytics, geospatial and time-series analytics, accelerated data science,...
» 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 modelsHEAVY.AI Free (Free Forever), Foundations ($2k/month), and Enterprise Licensure (Inquire...
» more
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
Apache 2.0.
» more
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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022MongoDBQuestDB
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3 November 2021, GlobeNewswire

Read the Pitch Deck Database Startup QuestDB Used to Raise $12 Million
11 November 2021, Business Insider

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