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DBMS > Cassandra vs. Hazelcast vs. Newts vs. RDF4J

System Properties Comparison Cassandra vs. Hazelcast vs. Newts vs. RDF4J

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonHazelcast  Xexclude from comparisonNewts  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessA widely adopted in-memory data gridTime Series DBMS based on CassandraRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelWide column storeKey-value storeTime Series DBMSRDF store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score119.01
Rank#10  Overall
#1  Wide column stores
Score8.41
Rank#44  Overall
#5  Key-value stores
Score0.00
Rank#336  Overall
#30  Time Series DBMS
Score0.48
Rank#215  Overall
#9  RDF stores
Websitecassandra.apache.orghazelcast.comopennms.github.io/­newtsrdf4j.org
Technical documentationcassandra.apache.org/­doc/­latesthazelcast.org/­imdg/­docsgithub.com/­OpenNMS/­newts/­wikirdf4j.org/­documentation
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookHazelcastOpenNMS GroupSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2008200820142004
Current release3.11.6, February 20204.0, February 2020
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0Open 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 languageJavaJavaJavaJava
Server operating systemsBSD
Linux
OS X
Windows
All OS with a Java VMLinux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeschema-freeschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyes infothe object must implement a serialization strategyno
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionyesnoyes
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)SQL-like query languagenono
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
JCache
JPA
Memcached protocol
RESTful HTTP API
HTTP REST
Java API
Java 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
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
JavaJava
PHP
Python
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Servicesnoyes
Triggersyesyes infoEventsnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleyes infoReplicated Mapselectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsone or two-phase-commit; repeatable reads; read commitednoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.noyesno
User concepts infoAccess controlAccess rights for users can be defined per objectRole-based access controlnono
More information provided by the system vendor
CassandraHazelcastNewtsRDF4J infoformerly known as Sesame
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Hazelcast is an in-memory computing platform that runs applications with extremely...
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Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
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Hazelcast has an optimized, multi-threaded architecture that enables the highest...
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Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
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Hazelcast powers many types of large-scale, data processing applications. A sample...
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Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
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Hazelcast customers include 50 of the world’s largest financial services companies,...
» more
Market metricsCassandra is used by 40% of the Fortune 100.
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more
Hazelcast provides both open source and commercial software. The open source offering...
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CassandraHazelcastNewtsRDF4J infoformerly known as Sesame
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