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DBMS > HEAVY.AI vs. IRONdb vs. QuestDB vs. ToroDB

System Properties Comparison HEAVY.AI vs. IRONdb vs. QuestDB vs. ToroDB

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonIRONdb  Xexclude from comparisonQuestDB  Xexclude from comparisonToroDB  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA high performance open source SQL database for time series dataA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSDocument store
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.circonus.com/solutions/time-series-database/questdb.iogithub.com/­torodb/­server
Technical documentationdocs.heavy.aidocs.circonus.com/irondb/category/getting-startedquestdb.io/­docs
DeveloperHEAVY.AI, Inc.Circonus LLC.QuestDB Technology Inc8Kdata
Initial release2016201720142016
Current release5.10, January 2022V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercialOpen Source infoApache 2.0Open Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAC and C++Java (Zero-GC), C++, RustJava
Server operating systemsLinuxLinuxLinux
macOS
Windows
All OS with a Java 7 VM
Data schemeyesschema-freeyes infoschema-free via InfluxDB Line Protocolschema-free
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesyes infostring, integer, double, boolean, date, object_id
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 indexesnonono
SQL infoSupport of SQLyesSQL-like query language (Circonus Analytics Query Language: CAQL)SQL with time-series extensions
APIs and other access methodsJDBC
ODBC
Thrift
Vega
HTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnoyes, in Luano
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinAutomatic, metric affinity per nodehorizontal partitioning (by timestamps)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationconfigurable replication factor, datacenter awareSource-replica replication with eventual consistencySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID for single-table writesno
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.yesnoyes infothrough memory mapped files
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users and roles
More information provided by the system vendor
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IRONdbQuestDBToroDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IRONdbQuestDBToroDB
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