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DBMS > Apache Impala vs. Cassandra vs. Informix

System Properties Comparison Apache Impala vs. Cassandra vs. Informix

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCassandra  Xexclude from comparisonInformix  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessA secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things data
Primary database modelRelational DBMSWide column storeRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDB
Secondary database modelsDocument storeVector DBMS infostarting with release V5Document store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score101.89
Rank#12  Overall
#1  Wide column stores
Score17.87
Rank#35  Overall
#22  Relational DBMS
Websiteimpala.apache.orgcassandra.apache.orgwww.ibm.com/­products/­informix
Technical documentationimpala.apache.org/­impala-docs.htmlcassandra.apache.org/­doc/­latestinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software Foundation infoApache top level project, originally developped by FacebookIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.
Initial release201320081984
Current release4.1.0, June 20224.1.3, July 202314.10.FC5, November 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache version 2commercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Astra DB: Multi-cloud DBaaS built on Apache Cassandra.
Implementation languageC++JavaC, C++ and Java
Server operating systemsLinuxBSD
Linux
OS X
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infoSince Version 12.10 support for JSON/BSON datatypes
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 indexesyesrestricted infoonly equality queries, not always the best performing solutionyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like SELECT, DML and DDL statements (CQL)yes
APIs and other access methodsJDBC
ODBC
Proprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infoRepresentation of geographical distribution of servers is possibleMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsACID
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.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users can be defined per objectUsers with fine-grained authentication, authorization, and auditing controls
More information provided by the system vendor
Apache ImpalaCassandraInformix
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

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3rd partiesCassandra Forward event: Want to level up your Cassandra game? Watch now replays of the March 2023 sessions.
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More resources
Apache ImpalaCassandraInformix
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Recent citations in the news

Apache Impala becomes Top-Level Project
28 November 2017, SDTimes.com

Cloudera Bringing Impala to AWS Cloud
28 November 2017, Datanami

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How Uber Optimized Cassandra Operations At Scale
20 July 2023, Uber

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11 January 2024, ibm.com

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17 October 2023, InformationWeek

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