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DBMS > Cassandra vs. GRAKN.AI vs. IRONdb vs. Microsoft Azure Table Storage vs. RDF4J

System Properties Comparison Cassandra vs. GRAKN.AI vs. IRONdb vs. Microsoft Azure Table Storage vs. RDF4J

Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonGRAKN.AI  Xexclude from comparisonIRONdb  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessGrakn 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 simplicityA Wide Column Store for rapid development using massive semi-structured datasetsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelWide column 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 DBMSWide column storeRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score120.66
Rank#11  Overall
#1  Wide column stores
Score0.28
Rank#243  Overall
#18  Graph DBMS
#115  Relational DBMS
Score0.06
Rank#305  Overall
#26  Time Series DBMS
Score5.01
Rank#65  Overall
#5  Wide column stores
Score0.39
Rank#220  Overall
#10  RDF stores
Websitecassandra.apache.orggrakn.aiwww.irondb.ioazure.microsoft.com/­en-us/­services/­storage/­tablesrdf4j.org
Technical documentationcassandra.apache.org/­doc/­latestdev.grakn.ai/­docswww.irondb.io/­docsdocs.rdf4j.org
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookGrakn Labs LtdCirconus LLC.MicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20082016201720122004
Current release3.11.5, October 20191.6.2, January 2020V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoGPL Version 3, commercial licenses availablecommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC and C++Java
Server operating systemsBSD
Linux
OS X
Windows
Linux
OS X
Windows
LinuxhostedLinux
OS X
Unix
Windows
Data schemeschema-freeyesschema-freeschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyes 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 indexesrestricted infoonly equality queries, not always the best performing solutionyesnonoyes
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)noSQL-like query language (Circonus Analytics Query Language: CAQL)nono
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
console (shell)
gRPC protocol
Workbase (visualisation software)
HTTP APIRESTful HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
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
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresnonoyes, in Luanoyes
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Sharding infoby using CassandraAutomatic, metric affinity per nodeSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleMaster-master replication infoby using Cassandraconfigurable replication factor, datacenter awareyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoby using Apache Kafka and Apache Zookeepernonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynono infosubstituted by the relationship featurenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDnooptimistic lockingACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.nononono
User concepts infoAccess controlAccess rights for users can be defined per objectyes infoat REST API level; other APIs in progressnoAccess rights based on private key authentication or shared access signaturesno
More information provided by the system vendor
CassandraGRAKN.AIIRONdbMicrosoft Azure Table StorageRDF4J infoformerly known as Sesame
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Grakn 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 advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
» more
Expressive 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 scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
Life 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 customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
IRONdb serves the needs of the world's largest Time Series Database customers. One...
» more
Market metricsCassandra is used by 40% of the Fortune 100.
» more
Only TSDB capable of scaling to billions of metrics. Only TSDB to scale to dozens...
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more
AGPL 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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Related products and services
3rd partiesDataStax Enterprise: Apache Cassandra for enterprises.
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CData: Connect to Big Data & NoSQL through standard Drivers.
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Instaclustr: Fully Hosted and Managed Apache Cassandra
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More resources
CassandraGRAKN.AIIRONdbMicrosoft Azure Table StorageRDF4J infoformerly known as Sesame
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