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DBMS > Cassandra vs. Newts vs. RDF4J vs. TigerGraph

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

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonNewts  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessTime Series DBMS based on CassandraRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelWide column storeTime Series DBMSRDF storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score120.71
Rank#10  Overall
#1  Wide column stores
Score0.04
Rank#322  Overall
#29  Time Series DBMS
Score0.40
Rank#219  Overall
#10  RDF stores
Score0.96
Rank#154  Overall
#10  Graph DBMS
Websitecassandra.apache.orgopennms.github.io/­newtsrdf4j.orgwww.tigergraph.com
Technical documentationcassandra.apache.org/­doc/­latestgithub.com/­OpenNMS/­newts/­wikidocs.rdf4j.orgdocs.tigergraph.com
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookOpenNMS GroupSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2008201420042017
Current release3.11.5, October 2019
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.commercial
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 languageJavaJavaJavaC++
Server operating systemsBSD
Linux
OS X
Windows
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Linux
Data schemeschema-freeschema-freeyes infoRDF Schemasyes
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.nonono
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionnoyes
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)nonoSQL-like query language (GSQL)
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
HTTP REST
Java API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
JavaJava
PHP
Python
C++
Java
Server-side scripts infoStored proceduresnonoyesyes
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Sharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleselectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnoACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users can be defined per objectnonoRole-based access control
More information provided by the system vendor
CassandraNewtsRDF4J infoformerly known as SesameTigerGraph
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
TigerGraph is a native graph database, with massively parallel processing and fully...
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Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
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TigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
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Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
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Anti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
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Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
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TigerGraph’s proven technology supports applications such as fraud detection, customer...
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Market metricsCassandra is used by 40% of the Fortune 100.
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TigerGraph is 2x to more than 8000x faster at graph traversal and query response...
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more
NEW: TIGERGRAPH CLOUD - Fully managed Graph Database as a Service. Hourly pricing...
» more

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More resources
CassandraNewtsRDF4J infoformerly known as SesameTigerGraph
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