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DBMS > Apache Impala vs. CouchDB vs. Databend vs. Datomic vs. Netezza

System Properties Comparison Apache Impala vs. CouchDB vs. Databend vs. Datomic vs. Netezza

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDatabend  Xexclude from comparisonDatomic  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  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.An open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityData warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMSDocument storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeSpatial DBMS infousing the Geocouch extension
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
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websiteimpala.apache.orgcouchdb.apache.orggithub.com/­datafuselabs/­databend
www.databend.com
www.datomic.comwww.ibm.com/­products/­netezza
Technical documentationimpala.apache.org/­impala-docs.htmldocs.couchdb.org/­en/­stabledocs.databend.comdocs.datomic.com
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 developerDatabend LabsCognitectIBM
Initial release20132005202120122000
Current release4.1.0, June 20223.3.3, December 20231.0.59, April 20231.0.6735, June 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache version 2Open Source infoApache Version 2.0commercial infolimited edition freecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ErlangRustJava, Clojure
Server operating systemsLinuxAndroid
BSD
Linux
OS X
Solaris
Windows
hosted
Linux
macOS
All OS with a Java VMLinux infoincluded in appliance
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nononono
Secondary indexesyesyes infovia viewsnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON APICLI Client
JDBC
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
OLE DB
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
Go
Java
JavaScript (Node.js)
Python
Rust
Clojure
Java
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceView functions in JavaScriptnoyes infoTransaction Functionsyes
TriggersnoyesnoBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoimproved architecture with release 2.0nonenone infoBut extensive use of caching in the application peersSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
nonenone infoBut extensive use of caching in the application peersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single document possibleyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes inforecommended only for testing and development
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 concept, user rolesnoUsers with fine-grained authorization concept

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Apache ImpalaCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatabendDatomicNetezza infoAlso called PureData System for Analytics by IBM
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