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DBMS > Heroic vs. MongoDB vs. SingleStore

System Properties Comparison Heroic vs. MongoDB vs. SingleStore

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonMongoDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage
Primary database modelTime Series DBMSDocument storeRelational 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
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#311  Overall
#27  Time Series DBMS
Score496.50
Rank#5  Overall
#1  Document stores
Score5.53
Rank#67  Overall
#37  Relational DBMS
Websitespotify.github.io/­heroic/­#!/­indexwww.mongodb.comwww.singlestore.com
Technical documentationspotify.github.io/­heroic/­#!/­docs/­overviewdocs.mongodb.com/­manualdocs.singlestore.com
DeveloperSpotifyMongoDB, IncSingleStore Inc.
Initial release201420092013
Current release5.0, July 20217.3, December 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.commercial infofree developer edition available
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.
  • ScaleGrid for MongoDB: Fully managed hosting for MongoDB database on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
  • 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.
SingleStore Managed Service: The world's fastest, most capable cloud database for operational analytics, machine learning, & AI. Available instantly with multi-cloud and hybrid-cloud capabilities.
Implementation languageJavaC++C++
Server operating systemsLinux
OS X
Solaris
Windows
Linux info64 bit version required
Data schemeschema-freeschema-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
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 indexesyes infovia Elasticsearchyesyes
SQL infoSupport of SQLnoRead-only SQL queries via the MongoDB Connector for BIyes, but no triggers and foreign keys
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
proprietary protocol using JSONJDBC
ODBC
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
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
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoJavaScriptyes
Triggersnoyes infoin MongoDB Atlas onlyno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency only within each node
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 infoOnly isolation level: READ COMMITED
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
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.noyes infoIn-memory storage engine introduced with MongoDB version 3.2yes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
HeroicMongoDBSingleStore infoformer name was MemSQL
Specific characteristicsMongoDB’s application data platform provides developers a unified interface to power...
» more
SingleStore is The No Limits Database™, powering modern applications and analytical...
» more
Competitive advantagesThe MongoDB platform can be used by developers building transactional, operational,...
» more
Performance - Shattering the Trillion-Rows-Per-Second Barrier Fast data ingest -...
» more
Typical application scenariosInternet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Real-Time Analytics Internet of Things Personalization and Recommendations Risk Management...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Comcast - Real-time Stream Processing Architecture DellEMC - Getting it Right Exactly...
» more
Market metrics175 million downloads, over 1.5M Atlas database clusters under management handling...
» more
Customers in various industries worldwide -- US and International Industry Solutions:...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
F ree Tier and Enterprise Edition
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
HeroicMongoDBSingleStore infoformer name was MemSQL
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Conferences and events

MongoDB.Local London
London, 9 November 2021

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Webinar, on demand, 27 July 2021 (finished)

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