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DBMS > Cassandra vs. Hazelcast vs. Newts vs. Sphinx

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

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonHazelcast  Xexclude from comparisonNewts  Xexclude from comparisonSphinx  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 CassandraOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelWide column storeKey-value storeTime Series DBMSSearch engine
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score120.95
Rank#11  Overall
#1  Wide column stores
Score9.07
Rank#45  Overall
#5  Key-value stores
Score0.02
Rank#325  Overall
#30  Time Series DBMS
Score6.69
Rank#51  Overall
#5  Search engines
Websitecassandra.apache.orghazelcast.comopennms.github.io/­newtssphinxsearch.com
Technical documentationcassandra.apache.org/­doc/­latesthazelcast.org/­documentationgithub.com/­OpenNMS/­newts/­wikisphinxsearch.com/­docs
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookHazelcastOpenNMS GroupSphinx Technologies Inc.
Initial release2008200820142001
Current release3.11.6, February 20204.0, February 20203.1.1, October 2018
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC++
Server operating systemsBSD
Linux
OS X
Windows
All OS with a Java VMLinux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesno
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 infofull-text index on all search fields
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)SQL-like query languagenoSQL-like query language (SphinxQL)
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
Proprietary protocol
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
JavaC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Servicesnono
Triggersyesyes infoEventsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingSharding infobased on CassandraSharding infoPartitioning is done manually, search queries against distributed index is supported
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 integritynononono
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 commitednono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
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
CassandraHazelcastNewtsSphinx
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
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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...
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Hazelcast provides both open source and commercial software. The open source offering...
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CassandraHazelcastNewtsSphinx
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