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DBMS > Apache Impala vs. CouchDB vs. Netezza vs. PostGIS vs. UniData,UniVerse

System Properties Comparison Apache Impala vs. CouchDB vs. Netezza vs. PostGIS vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPostGIS  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Data warehouse and analytics appliance part of IBM PureSystemsSpatial extension of PostgreSQLMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelRelational DBMSDocument storeRelational DBMSSpatial DBMSMultivalue DBMS
Secondary database modelsDocument storeSpatial DBMS infousing the Geocouch extensionRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score9.30
Rank#45  Overall
#7  Document stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websiteimpala.apache.orgcouchdb.apache.orgwww.ibm.com/­products/­netezzapostgis.netwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationimpala.apache.org/­impala-docs.htmldocs.couchdb.org/­en/­stablepostgis.net/­documentationdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerIBMRocket Software
Initial release20132005200020051985
Current release4.1.0, June 20223.3.3, December 20233.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache version 2commercialOpen Source infoGPL v2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ErlangCC
Server operating systemsLinuxAndroid
BSD
Linux
OS X
Solaris
Windows
Linux infoincluded in applianceAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesoptional
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.nonoyes
Secondary indexesyesyes infovia viewsyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON APIJDBC
ODBC
OLE DB
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceView functions in JavaScriptyesuser defined functionsyes
Triggersnoyesnoyesyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoimproved architecture with release 2.0Shardingyes infobased on PostgreSQLnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
Source-replica replicationyes infobased on PostgreSQLSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single document possibleACIDACIDACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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, groups and roles infobased on Apache Sentry and KerberosAccess rights for users can be defined per databaseUsers with fine-grained authorization conceptyes infobased on PostgreSQLAccess rights according to SQL-standard and operating system based

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More resources
Apache ImpalaCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Netezza infoAlso called PureData System for Analytics by IBMPostGISUniData,UniVerse
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