DB-EnginesCrateDB bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > GRAKN.AI vs. IRONdb vs. RDF4J vs. Redis

System Properties Comparison GRAKN.AI vs. IRONdb vs. RDF4J vs. Redis

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameGRAKN.AI  Xexclude from comparisonIRONdb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRedis  Xexclude from comparison
DescriptionGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.In-memory data structure store, used as database, cache and message broker infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.
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.
Time Series DBMSRDF storeKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence
Secondary database modelsDocument store infowith Redis Modules
Graph DBMS infowith Redis Modules
Search engine infowith Redis Modules
Time Series DBMS infowith Redis Modules
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#256  Overall
#21  Graph DBMS
#120  Relational DBMS
Score0.05
Rank#328  Overall
#27  Time Series DBMS
Score0.38
Rank#223  Overall
#10  RDF stores
Score145.24
Rank#8  Overall
#1  Key-value stores
Websitegrakn.aiwww.irondb.iordf4j.orgredis.io
Technical documentationdev.grakn.ai/­docswww.irondb.io/­docsdocs.rdf4j.orgredis.io/­documentation
DeveloperGrakn Labs LtdCirconus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.Salvatore Sanfilippo infoDevelopment sponsored by Redis Labs
Initial release2016201720042009
Current release1.5.8, August 2019V0.10.20, January 20185.0.6, September 2019
License infoCommercial or Open SourceOpen Source infoGPL Version 3, commercial licenses availablecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoBSD 3-Clause, commercial license 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++JavaC
Server operating systemsLinux
OS X
Windows
LinuxLinux
OS X
Unix
Windows
BSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Data schemeyesschema-freeyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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 indexesyesnoyesyes infowith RediSearch module
SQL infoSupport of SQLnoSQL-like query language (Circonus Analytics Query Language: CAQL)nono
APIs and other access methodsconsole (shell)
gRPC protocol
Workbase (visualisation software)
HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
proprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languagesAll JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
PHP
Python
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Server-side scripts infoStored proceduresnoyes, in LuayesLua
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using CassandraAutomatic, metric affinity per nodenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby using Cassandraconfigurable replication factor, datacenter awarenoneMaster-slave replication infoChained replication is supported
Multi-master replication infowith Redis Enterprise Pack
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoby using Apache Kafka and Apache Zookeepernonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integrityno infosubstituted by the relationship featurenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoIsolation support depends on the API usedOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlyes infoat REST API level; other APIs in progressnonoSimple password-based access control infoAccess control lists and SSL are available in the commercial version
More information provided by the system vendor
GRAKN.AIIRONdbRDF4J infoformerly known as SesameRedis
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
Redis, benchmarked as the world's fastest database, reduces application complexity,...
» 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
Redis is an in-memory database platform offering native support of wide range of...
» 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
Redis powers personalization, real-time fraud detection, IoT, e-commerce, real-time...
» more
Key customersIRONdb serves the needs of the world's largest Time Series Database customers. One...
» more
Verizon, Vodafone, Atlassian, Trip Advisor, Jet.com, Nokia, Samsung, HTC, Docker,...
» 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
The licensing model is subscription based. Redis Enterprise Cloud is priced according...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

Redis Labs is the open source home and the provider of enterprise-class Redis.
» more

ScaleGrid: Fully managed Redis-as-a-Service in the cloud.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
GRAKN.AIIRONdbRDF4J infoformerly known as SesameRedis
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2018
2 January 2019, Paul Andlinger, Matthias Gelbmann

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

MongoDB is the DBMS of the year, defending the title from last year
7 January 2015, Paul Andlinger, Matthias Gelbmann

show all

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
10 March 2017, DZone News

Kannur-based startup ArticBot bets big on machine learning
28 October 2017, YourStory.com

Oracle launches startup cloud accelerator in Bristol
20 September 2017, Cloud Pro

5 high-tech startups chosen to join Bristol's Oracle Startup Cloud Accelerator Program
21 September 2017, TechSPARK

provided by Google News

Circonus Releases Machine Data Intelligence Solution
30 October 2019, Database Trends and Applications

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

provided by Google News

Big data database Apache Rya becomes a Top Level Project
10 October 2019, JAXenter

Amazon Neptune review: A scalable graph database for OLTP
13 May 2019, InfoWorld

Ontotext's GraphDB 8.10 Makes Knowledge Graph Experience Faster and Richer
13 June 2019, Yahoo Finance

Ontotext's GraphDB 8.9 Boosts Semantic Similarity Search
10 April 2019, PRNewswire

Ontotext's GraphDB 9.0 Open-sources its Front-end and Engine Plugins to Empower Knowledge Graph Solutions
3 October 2019, PRNewswire

provided by Google News

Redis Labs Leverages Kubernetes to Automate Database Recovery
13 November 2019, Container Journal

Redis releases automatic cluster recovery for Kubernetes and RedisInsight GUI tool
13 November 2019, The Register

Redis Labs Delivers New Innovations to Radically Simplify the Complete Redis Lifecycle From Development to Operations
12 November 2019, Business Wire

How to Use Redis TimeSeries with Grafana for Real-time Analytics
13 November 2019, InfoQ.com

Redis Labs launches RedisInsight and automated cluster recovery for Kubernetes
13 November 2019, Help Net Security

provided by Google News

Job opportunities

Cassandra Database Administrator (DBA)
Cisco Careers, San Jose, CA

Data Engineer
OneMagnify, Dearborn, MI

Data Engineer
VividCortex, Arlington, VA

Data Architect
Ticketmaster, Scottsdale, AZ

Data Engineer
Bungie, Bellevue, WA

jobs by Indeed




Share this page

Featured Products

Redis logo

Hosted, serverless DBaaS
in 3 steps.

30MB Free!
Start now.


Datastax logo

Build data-driven applications that set the standard for performance, availability,
& scale with DataStax.
Learn more.

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

RavenDB logo

Setup a fully managed RavenDB Cloud Database in minutes. Enjoy hosting, management, backups all in one place.
Grab a Free Instance

Present your product here