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DBMS > Apache Impala vs. Cloudflare Workers KV vs. CouchDB vs. Netezza vs. PostGIS

System Properties Comparison Apache Impala vs. Cloudflare Workers KV vs. CouchDB vs. Netezza vs. PostGIS

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCloudflare Workers KV  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 comparison
DescriptionAnalytic DBMS for HadoopA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.A 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 PostgreSQL
Primary database modelRelational DBMSKey-value storeDocument storeRelational DBMSSpatial 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
Score0.32
Rank#283  Overall
#40  Key-value stores
Score9.30
Rank#45  Overall
#7  Document stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Websiteimpala.apache.orgwww.cloudflare.com/­developer-platform/­workers-kvcouchdb.apache.orgwww.ibm.com/­products/­netezzapostgis.net
Technical documentationimpala.apache.org/­impala-docs.htmldevelopers.cloudflare.com/­kv/­apidocs.couchdb.org/­en/­stablepostgis.net/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCloudflareApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerIBM
Initial release20132018200520002005
Current release4.1.0, June 20223.3.3, December 20233.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache version 2commercialOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ErlangC
Server operating systemsLinuxhostedAndroid
BSD
Linux
OS X
Solaris
Windows
Linux infoincluded in appliance
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnonoyesyes
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.nononoyes
Secondary indexesyesnoyes infovia viewsyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyesyes
APIs and other access methodsJDBC
ODBC
HTTP REST
Proprietary protocol
RESTful HTTP/JSON APIJDBC
ODBC
OLE DB
Supported programming languagesAll languages supporting JDBC/ODBCC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C
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
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoView functions in JavaScriptyesuser defined functions
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoimproved architecture with release 2.0Shardingyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replication
Source-replica replication
Source-replica replicationyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono infoatomic operations within a single document possibleACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infostrategy: optimistic lockingyesyes
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.nononono
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 PostgreSQL

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More resources
Apache ImpalaCloudflare Workers KVCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Netezza infoAlso called PureData System for Analytics by IBMPostGIS
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