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DBMS > HEAVY.AI vs. MongoDB vs. Oracle Rdb

System Properties Comparison HEAVY.AI vs. MongoDB vs. Oracle Rdb

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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 comparisonOracle Rdb  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 infrastructure
Primary database modelRelational DBMSDocument storeRelational 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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.33
Rank#150  Overall
#72  Relational DBMS
Score480.73
Rank#5  Overall
#1  Document stores
Score1.18
Rank#161  Overall
#75  Relational DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.mongodb.comwww.oracle.com/­technetwork/­database/­database-technologies/­rdb/­overview/­index.html
Technical documentationdocs.heavy.aidocs.mongodb.com/­manual
DeveloperHEAVY.AI, Inc.MongoDB, IncOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release201620091984
Current release5.10, January 20225.0.9, May 20227.4.1.1, 2021
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.commercial
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++
Server operating systemsLinuxLinux
OS X
Solaris
Windows
HP Open VMS
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.Flexible Schema (defined schema, partial schema, schema free)
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 indexesnoyesyes
SQL infoSupport of SQLyesRead-only SQL queries via the MongoDB Connector for BIyes
APIs and other access methodsJDBC
ODBC
Thrift
Vega
proprietary protocol using JSON
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
Server-side scripts infoStored proceduresnoJavaScript
Triggersnoyes infoin MongoDB Atlas only
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.
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
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 possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-document ACID Transactions with snapshot isolationyes, on a single node
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 3.2no
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 2022MongoDBOracle Rdb
Specific characteristicsOptimizes memory and compute layers to deliver unprecedented performance. Natively...
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MongoDB’s application data platform provides developers a unified interface to power...
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Competitive advantagesOnly HEAVY.AI allows users to visually and interactively discover high-value patterns,...
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The MongoDB platform can be used by developers building transactional, operational,...
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Typical application scenariosAdvanced analytics, geospatial and time-series analytics, accelerated data science,...
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Internet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
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Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
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Market metrics200+ million downloads, over 1.5M Atlas database clusters under management handling...
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Licensing and pricing modelsHEAVY.AI Free (Free Forever), Foundations ($2k/month), and Enterprise Licensure (Inquire...
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MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
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HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022MongoDBOracle Rdb
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