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DBMS > Heroic vs. LMDB vs. Sphinx vs. SQL.JS

System Properties Comparison Heroic vs. LMDB vs. Sphinx vs. SQL.JS

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonLMDB  Xexclude from comparisonSphinx  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA high performant, light-weight, embedded key-value database libraryOpen source search engine for searching in data from different sources, e.g. relational databasesPort of SQLite to JavaScript
Primary database modelTime Series DBMSKey-value storeSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score2.09
Rank#121  Overall
#20  Key-value stores
Score5.95
Rank#55  Overall
#5  Search engines
Score0.63
Rank#241  Overall
#112  Relational DBMS
Websitegithub.com/­spotify/­heroicwww.symas.com/­symas-embedded-database-lmdbsphinxsearch.comsql.js.org
Technical documentationspotify.github.io/­heroicwww.lmdb.tech/­docsphinxsearch.com/­docssql.js.org/­documentation/­index.html
DeveloperSpotifySymasSphinx Technologies Inc.Alon Zakai infoenhancements implemented by others
Initial release2014201120012012
Current release0.9.32, January 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open SourceOpen Source infoGPL version 2, commercial licence availableOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC++JavaScript
Server operating systemsLinux
Unix
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyes
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.nonono
Secondary indexesyes infovia Elasticsearchnoyes infofull-text index on all search fields
SQL infoSupport of SQLnonoSQL-like query language (SphinxQL)yes infoSQL-92 is not fully supported
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
Proprietary protocolJavaScript API
Supported programming languages.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScript
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistencynone
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.no infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnonono

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HeroicLMDBSphinxSQL.JS
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