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DBMS > HEAVY.AI vs. Heroic vs. InterSystems IRIS vs. OpenTSDB vs. Sphinx

System Properties Comparison HEAVY.AI vs. Heroic vs. InterSystems IRIS vs. OpenTSDB vs. Sphinx

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHeroic  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonOpenTSDB  Xexclude from comparisonSphinx  Xexclude from comparison
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 containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityScalable Time Series DBMS based on HBaseOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSTime Series DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­spotify/­heroicwww.intersystems.com/­products/­intersystems-irisopentsdb.netsphinxsearch.com
Technical documentationdocs.heavy.aispotify.github.io/­heroicdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsopentsdb.net/­docs/­build/­html/­index.htmlsphinxsearch.com/­docs
DeveloperHEAVY.AI, Inc.SpotifyInterSystemscurrently maintained by Yahoo and other contributorsSphinx Technologies Inc.
Initial release20162014201820112001
Current release5.10, January 20222023.3, June 20233.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0commercialOpen Source infoLGPLOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAJavaJavaC++
Server operating systemsLinuxAIX
Linux
macOS
Ubuntu
Windows
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freedepending on used data modelschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnumeric data for metrics, strings for tagsno
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.nonoyesno
Secondary indexesnoyes infovia Elasticsearchyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLyesnoyesnoSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
Thrift
Vega
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
RESTful HTTP API
HTTP API
Telnet API
Proprietary protocol
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
.Net
C++
Java
JavaScript (Node.js)
Python
Erlang
Go
Java
Python
R
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonoyesnono
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinShardingShardingSharding infobased on HBaseSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesSource-replica replicationselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.yesnoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyesnono
More information provided by the system vendor
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HeroicInterSystems IRISOpenTSDBSphinx
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HeroicInterSystems IRISOpenTSDBSphinx
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