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DBMS > Heroic vs. IRONdb vs. QuestDB vs. TypeDB

System Properties Comparison Heroic vs. IRONdb vs. QuestDB vs. TypeDB

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonIRONdb  Xexclude from comparisonQuestDB  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA high performance open source SQL database for time series dataTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelTime Series DBMSTime Series DBMSTime Series DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score0.65
Rank#234  Overall
#20  Graph DBMS
#107  Relational DBMS
Websitegithub.com/­spotify/­heroicwww.circonus.com/solutions/time-series-database/questdb.iotypedb.com
Technical documentationspotify.github.io/­heroicdocs.circonus.com/irondb/category/getting-startedquestdb.io/­docstypedb.com/­docs
DeveloperSpotifyCirconus LLC.QuestDB Technology IncVaticle
Initial release2014201720142016
Current releaseV0.10.20, January 20182.26.3, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0Open Source infoGPL Version 3, commercial licenses available
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 languageJavaC and C++Java (Zero-GC), C++, RustJava
Server operating systemsLinuxLinux
macOS
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesyes
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 Elasticsearchnonoyes
SQL infoSupport of SQLnoSQL-like query language (Circonus Analytics Query Language: CAQL)SQL with time-series extensionsno
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languages.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
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoyes, in Luanono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodehorizontal partitioning (by timestamps)Sharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesconfigurable replication factor, datacenter awareSource-replica replication with eventual consistencyMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID for single-table writesACID
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.nonoyes infothrough memory mapped filesno
User concepts infoAccess controlnoyes infoat REST API level; other APIs in progress
More information provided by the system vendor
HeroicIRONdbQuestDBTypeDB infoformerly named Grakn
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
TypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» 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
Apache f or language drivers, and AGPL and Commercial for the database server. The...
» 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
HeroicIRONdbQuestDBTypeDB infoformerly named Grakn
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