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DBMS > Cassandra vs. Heroic vs. Netezza

System Properties Comparison Cassandra vs. Heroic vs. Netezza

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonHeroic  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchData warehouse and analytics appliance part of IBM PureSystems
Primary database modelWide column storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score113.79
Rank#12  Overall
#1  Wide column stores
Score0.45
Rank#285  Overall
#22  Time Series DBMS
Score16.31
Rank#40  Overall
#25  Relational DBMS
Websitecassandra.apache.orgspotify.github.io/­heroic/­#!/­indexwww.ibm.com/­products/­netezza
Technical documentationcassandra.apache.org/­doc/­latestspotify.github.io/­heroic/­#!/­docs/­overview
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookSpotifyIBM
Initial release200820142000
Current release4.1.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • Astra DB: Multi-cloud DBaaS built on Apache Cassandra.
  • Aiven for Apache Cassandra: Fully managed, open source NoSQL database specifically designed to be highly available, performant, and scalable.
Implementation languageJavaJava
Server operating systemsBSD
Linux
OS X
Windows
Linux infoincluded in appliance
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionyes infovia Elasticsearchyes
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)noyes
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
OLE DB
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnonoyes
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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 objectUsers with fine-grained authorization concept
More information provided by the system vendor
CassandraHeroicNetezza infoAlso called PureData System for Analytics by IBM
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...
» more
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
News

How Mongoose Will Bring JSON-Oriented Developers to Apache Cassandra
28 March 2023

DataStax Receives 98% Customer Satisfaction Score - Wins NorthFace ScoreBoard Service Award Third Year in a Row
24 March 2023

DataStax and Delphix Enable Faster Provisioning of Cassandra Data for CI/CD Pipelines and Analytics
22 March 2023

Building Data Services with Apache Cassandra
17 March 2023

Application Architecture: Moving from Modern to High-Growth
14 March 2023

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesCassandra Forward event: Want to level up your Cassandra game? Watch now replays of the March 2023 sessions.
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
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Aiven for Apache Cassandra: A truly distributed database that can handle large volumes of writes.
» more

Instaclustr: Hosted & Managed Apache Cassandra as a Service
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
CassandraHeroicNetezza infoAlso called PureData System for Analytics by IBM
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Recent citations in the news

API Magic: Building Data Services with Apache Cassandra
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Mongoose: Bringing JSON-Oriented Developers to Apache Cassandra
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