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DBMS > Heroic vs. Yanza

System Properties Comparison Heroic vs. Yanza

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonYanza  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchTime Series DBMS for IoT Applications
Primary database modelTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.33
Rank#260  Overall
#20  Time Series DBMS
Score0.00
Rank#351  Overall
#34  Time Series DBMS
Websitespotify.github.io/­heroic/­#!/­indexyanza.com
Technical documentationspotify.github.io/­heroic/­#!/­docs/­overview
DeveloperSpotifyYanza
Initial release20142015
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsWindows
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or dateyesno
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 Elasticsearchno
SQL infoSupport of SQLnono
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP API
Supported programming languagesany language that supports HTTP calls
Server-side scripts infoStored proceduresnono
Triggersnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlno

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More resources
HeroicYanza
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Review: Google Bigtable scales with ease
7 September 2016, InfoWorld

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