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DBMS > Cassandra vs. Impala vs. Newts vs. Sphinx

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

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonImpala  Xexclude from comparisonNewts  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessAnalytic DBMS for HadoopTime Series DBMS based on CassandraOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelWide column storeRelational DBMSTime Series DBMSSearch engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score120.07
Rank#11  Overall
#1  Wide column stores
Score14.94
Rank#36  Overall
#22  Relational DBMS
Score0.02
Rank#329  Overall
#30  Time Series DBMS
Score6.49
Rank#52  Overall
#5  Search engines
Websitecassandra.apache.orgwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlopennms.github.io/­newtssphinxsearch.com
Technical documentationcassandra.apache.org/­doc/­latestwww.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmlgithub.com/­OpenNMS/­newts/­wikisphinxsearch.com/­docs
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookClouderaOpenNMS GroupSphinx Technologies Inc.
Initial release2008201320142001
Current release3.11.6, February 20203.3.0, August 20193.1.1, October 2018
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2Open 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++JavaC++
Server operating systemsBSD
Linux
OS X
Windows
LinuxLinux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesschema-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.nonono
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 DML and DDL statementsnoSQL-like query language (SphinxQL)
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
JDBC
ODBC
HTTP REST
Java API
Proprietary protocol
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBCJavaC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reducenono
Triggersyesnonono
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 possibleselectable replication factorselectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual ConsistencyEventual 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 operationsnonono
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.nonono
User concepts infoAccess controlAccess rights for users can be defined per objectAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnono
More information provided by the system vendor
CassandraImpalaNewtsSphinx
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...
» more
Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» 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

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DataStax Enterprise: Apache Cassandra for enterprises.
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More resources
CassandraImpalaNewtsSphinx
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