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DBMS > Heroic vs. Pinecone vs. Quasardb vs. Sphinx

System Properties Comparison Heroic vs. Pinecone vs. Quasardb vs. Sphinx

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonPinecone  Xexclude from comparisonQuasardb  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA managed, cloud-native vector databaseDistributed, high-performance timeseries databaseOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelTime Series DBMSVector DBMSTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitegithub.com/­spotify/­heroicwww.pinecone.ioquasar.aisphinxsearch.com
Technical documentationspotify.github.io/­heroicdocs.pinecone.io/­docs/­overviewdoc.quasar.ai/­mastersphinxsearch.com/­docs
DeveloperSpotifyPinecone Systems, IncquasardbSphinx Technologies Inc.
Initial release2014201920092001
Current release3.14.1, January 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemshostedBSD
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesString, Number, Booleanyes infointeger and binaryno
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 Elasticsearchyes infowith tagsyes infofull-text index on all search fields
SQL infoSupport of SQLnonoSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
RESTful HTTP APIHTTP APIProprietary protocol
Supported programming languagesPython.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient mode
User concepts infoAccess controlCryptographically strong user authentication and audit trailno

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HeroicPineconeQuasardbSphinx
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