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DBMS > HEAVY.AI vs. Heroic vs. RisingWave vs. TempoIQ

System Properties Comparison HEAVY.AI vs. Heroic vs. RisingWave vs. TempoIQ

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHeroic  Xexclude from comparisonRisingWave  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA distributed RDBMS for stream processing, wire-compatible with PostgreSQLScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelRelational DBMSTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Score0.61
Rank#237  Overall
#111  Relational DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­spotify/­heroicwww.risingwave.com/­databasetempoiq.com (offline)
Technical documentationdocs.heavy.aispotify.github.io/­heroicdocs.risingwave.com/­docs/­current/­intro
DeveloperHEAVY.AI, Inc.SpotifyRisingWave LabsTempoIQ
Initial release2016201420222012
Current release5.10, January 20221.2, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAJavaRust
Server operating systemsLinuxDocker
Linux
macOS
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesStandard SQL-types and JSONyes
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 indexesnoyes infovia Elasticsearchyes
SQL infoSupport of SQLyesnoyesno
APIs and other access methodsJDBC
ODBC
Thrift
Vega
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
PostgreSQL wire protocol
HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
Go
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresnonoUDFs in Python or Javano
Triggersnononoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesnoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers and Rolessimple authentication-based access control

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HeroicRisingWaveTempoIQ infoformerly TempoDB
Recent citations in the news

Dr. Mike Flaxman, VP or Product Management at HEAVY.AI – Interview Series
19 September 2024, Unite.AI

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27 June 2023, Datanami

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