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DBMS > Cassandra vs. Ignite vs. Impala

System Properties Comparison Cassandra vs. Ignite vs. Impala

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonIgnite  Xexclude from comparisonImpala  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Analytic DBMS for Hadoop
Primary database modelWide column storeKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score123.22
Rank#10  Overall
#1  Wide column stores
Score4.45
Rank#68  Overall
#11  Key-value stores
#37  Relational DBMS
Score14.57
Rank#37  Overall
#23  Relational DBMS
Websitecassandra.apache.orgignite.apache.orgwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.html
Technical documentationcassandra.apache.org/­doc/­latestapacheignite.readme.io/­docswww.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookApache Software FoundationCloudera
Initial release200820152013
Current release3.11.4, February 2019Apache Ignite 2.63.3.0, August 2019
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java, .NetC++
Server operating systemsBSD
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesyes
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.noyesno
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionyesyes
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)ANSI-99 for query and DML statements, subset of DDLSQL-like DML and DDL statements
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
HDFS API
Hibernate
JCache
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yes infouser defined functions and integration of map-reduce
Triggersyesyes (cache interceptors and events)no
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 possibleyes (replicated cache)selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes (compute grid and hadoop accelerator)yes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate ConsistencyEventual 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 operationsACIDno
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.noyesno
User concepts infoAccess controlAccess rights for users can be defined per objectSecurity Hooks for custom implementationsAccess rights for users, groups and roles infobased on Apache Sentry and Kerberos
More information provided by the system vendor
CassandraIgniteImpala
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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3rd partiesDataStax Enterprise: Apache Cassandra for enterprises.
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More resources
CassandraIgniteImpala
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