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DBMS > Heroic vs. Manticore Search vs. Percona Server for MongoDB

System Properties Comparison Heroic vs. Manticore Search vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonManticore Search  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchMulti-storage database for search, including full-text search.A drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelTime Series DBMSSearch engineDocument store
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#250  Overall
#21  Time Series DBMS
Score0.23
Rank#317  Overall
#21  Search engines
Score0.55
Rank#253  Overall
#39  Document stores
Websitegithub.com/­spotify/­heroicmanticoresearch.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationspotify.github.io/­heroicmanual.manticoresearch.comdocs.percona.com/­percona-distribution-for-mongodb
DeveloperSpotifyManticore SoftwarePercona
Initial release201420172015
Current release6.0, February 20233.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL version 2Open Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++
Server operating systemsFreeBSD
Linux
macOS
Windows
Linux
Data schemeschema-freeFixed schemaschema-free
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, 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.noCan index from XMLno
Secondary indexesyes infovia Elasticsearchyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoSQL-like query languageno
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
proprietary protocol using JSON
Supported programming languagesElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresnouser defined functionsJavaScript
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication based on Galera librarySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infoisolated transactions for atomic changes and binary logging for safe writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infovia In-Memory Engine
User concepts infoAccess controlnoAccess rights for users and roles

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More resources
HeroicManticore SearchPercona Server for MongoDB
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