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

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

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonGRAKN.AI  Xexclude from comparisonIRONdb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsGrakn 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.
Primary database modelDocument storeGraph 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 store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.68
Rank#184  Overall
#27  Document stores
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
Websitewww.bigchaindb.comgrakn.aiwww.irondb.iordf4j.org
Technical documentationbigchaindb.readthedocs.io/­en/­latestdev.grakn.ai/­docswww.irondb.io/­docsdocs.rdf4j.org
DeveloperGrakn Labs LtdCirconus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2016201620172004
Current release1.5.8, August 2019V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoGPL Version 3, commercial licenses availablecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonJavaC and C++Java
Server operating systemsLinuxLinux
OS X
Windows
LinuxLinux
OS X
Unix
Windows
Data schemeschema-freeyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or datenoyesyes infotext, numeric, histogramsyes
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 indexesyesnoyes
SQL infoSupport of SQLnonoSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsCLI Client
RESTful HTTP API
console (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
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
All 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
Server-side scripts infoStored proceduresnoyes, in Luayes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoby using CassandraAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMaster-master replication infoby using Cassandraconfigurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoby using Apache Kafka and Apache Zookeepernono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynono infosubstituted by the relationship featureno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlyesyes infoat REST API level; other APIs in progressnono
More information provided by the system vendor
BigchainDBGRAKN.AIIRONdbRDF4J infoformerly known as Sesame
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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More resources
BigchainDBGRAKN.AIIRONdbRDF4J infoformerly known as Sesame
Conferences and events

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

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