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DBMS > Heroic vs. Microsoft Azure AI Search vs. TerarkDB vs. VictoriaMetrics

System Properties Comparison Heroic vs. Microsoft Azure AI Search vs. TerarkDB vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonTerarkDB  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchSearch-as-a-service for web and mobile app developmentA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelTime Series DBMSSearch engineKey-value storeTime Series DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Score5.75
Rank#58  Overall
#7  Search engines
Score0.00
Rank#385  Overall
#61  Key-value stores
Score1.23
Rank#165  Overall
#15  Time Series DBMS
Websitegithub.com/­spotify/­heroicazure.microsoft.com/­en-us/­services/­searchgithub.com/­bytedance/­terarkdbvictoriametrics.com
Technical documentationspotify.github.io/­heroiclearn.microsoft.com/­en-us/­azure/­searchbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperSpotifyMicrosoftByteDance, originally TerarkVictoriaMetrics
Initial release2014201520162018
Current releaseV1v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial inforestricted open source version availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Go
Server operating systemshostedFreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.nononono
Secondary indexesyes infovia Elasticsearchyesno
SQL infoSupport of SQLnononono
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
RESTful HTTP APIC++ API
Java API
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC#
Java
JavaScript
Python
C++
Java
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud servicenoneSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlyes infousing Azure authenticationno

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More resources
HeroicMicrosoft Azure AI SearchTerarkDBVictoriaMetrics
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