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DBMS > GRAKN.AI vs. Infobright vs. IRONdb

System Properties Comparison GRAKN.AI vs. Infobright vs. IRONdb

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Editorial information provided by DB-Engines
NameGRAKN.AI  Xexclude from comparisonInfobright  Xexclude from comparisonIRONdb  Xexclude from comparison
DescriptionGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity
Primary database modelGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Relational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#248  Overall
#19  Graph DBMS
#116  Relational DBMS
Score1.04
Rank#141  Overall
#69  Relational DBMS
Score0.05
Rank#315  Overall
#27  Time Series DBMS
Websitegrakn.aiwww.ignitetech.com/­solutions/­information-technology/­infobrightdbwww.irondb.io
Technical documentationdev.grakn.ai/­docswww.irondb.io/­docs
DeveloperGrakn Labs LtdIgnite Technologies Inc.; formerly InfoBright Inc.Circonus LLC.
Initial release201620052017
Current release1.6.1, December 2019V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availablecommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC and C++
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linux
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histograms
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.nonono
Secondary indexesyesno infoKnowledge Grid Technology used insteadno
SQL infoSupport of SQLnoyesSQL-like query language (Circonus Analytics Query Language: CAQL)
APIs and other access methodsconsole (shell)
gRPC protocol
Workbase (visualisation software)
ADO.NET
JDBC
ODBC
HTTP API
Supported programming languagesAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnonoyes, in Lua
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using CassandranoneAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby using CassandraMaster-slave replicationconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoby using Apache Kafka and Apache Zookeepernono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integrityno infosubstituted by the relationship featurenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlyes infoat REST API level; other APIs in progressfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesno
More information provided by the system vendor
GRAKN.AIInfobrightIRONdb
Specific characteristicsGrakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
IRONdb is a highly available, distributed Time Series Database. It can support dozens...
» more
Competitive advantagesExpressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
Unmatched Scalability IRONdb is unique among TSDBs in that it does not use a consensus...
» more
Typical application scenariosLife sciences : Grakn makes working with biological data much easier and accelerates...
» more
Real Systems Monitoring Monitor your systems infrastructure in real time across thousands...
» more
Key customersIRONdb serves the needs of the world's largest Time Series Database customers. One...
» more
Market metricsOnly TSDB capable of scaling to billions of metrics. Only TSDB to scale to dozens...
» more
Licensing and pricing modelsAGPL and Commercial . The commercial license is priced based on cluster resources...
» more
IRONdb is licensed under a subscription model based on the number of active metrics...
» 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
GRAKN.AIInfobrightIRONdb
Conferences and events

Grakn Cosmos, the universal conference of technologies built using Grakn
London, UK, 6-7 February 2020

Recent citations in the news

GRAKN.AI: How Haikal Pribadi went from being a refugee to building a database for AI systems
26 October 2017, YourStory.com

Get Started With GRAKN.AI
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15 March 2017, DZone News

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28 October 2017, YourStory.com

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Ignite Buys Database Vendor Infobright
2 May 2017, Datanami

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Bob Moul's latest gig is leading data intelligence company Circonus
30 October 2019, Technical.ly

Circonus launches machine data intelligence platform
29 October 2019, SDTimes.com

Circonus Launches the First Machine Data Intelligence Platform Built to Harness the Exploding Volume of Data in a World with a Trillion Connected Computers
29 October 2019, PRNewswire

provided by Google News




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