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DBMS > Cassandra vs. RDF4J vs. Sphinx vs. Teradata Aster

System Properties Comparison Cassandra vs. RDF4J vs. Sphinx vs. Teradata Aster

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSphinx  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Open source search engine for searching in data from different sources, e.g. relational databasesPlatform for big data analytics on multistructured data sources and types
Primary database modelWide column storeRDF storeSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score120.07
Rank#11  Overall
#1  Wide column stores
Score0.42
Rank#220  Overall
#9  RDF stores
Score6.49
Rank#52  Overall
#5  Search engines
Websitecassandra.apache.orgrdf4j.orgsphinxsearch.com
Technical documentationcassandra.apache.org/­doc/­latestdocs.rdf4j.orgsphinxsearch.com/­docs
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Sphinx Technologies Inc.Teradata
Initial release2008200420012005
Current release3.11.6, February 20203.1.1, October 2018
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoEclipse Distribution License (EDL), v1.0.Open Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsBSD
Linux
OS X
Windows
Linux
OS X
Unix
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeschema-freeyes infoRDF SchemasyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesnoyes
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 infoin Aster File Store
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)noSQL-like query language (SphinxQL)yes
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Proprietary protocolADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
Java
PHP
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyesnoR packages
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"noneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possiblenonenoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes infoSQL Map-Reduce Framework
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 depending on configuration
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACID infoIsolation support depends on the API usednoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users can be defined per objectnonofine grained access rights according to SQL-standard
More information provided by the system vendor
CassandraRDF4J infoformerly known as SesameSphinxTeradata Aster
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
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Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
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Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
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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...
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More resources
CassandraRDF4J infoformerly known as SesameSphinxTeradata Aster
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