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DBMS > Apache Impala vs. Blueflood vs. Citus vs. CouchDB

System Properties Comparison Apache Impala vs. Blueflood vs. Citus vs. CouchDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonBlueflood  Xexclude from comparisonCitus  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopScalable TimeSeries DBMS based on CassandraScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.
Primary database modelRelational DBMSTime Series DBMSRelational DBMSDocument store
Secondary database modelsDocument storeDocument storeSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score0.06
Rank#352  Overall
#36  Time Series DBMS
Score2.13
Rank#117  Overall
#56  Relational DBMS
Score7.46
Rank#51  Overall
#7  Document stores
Websiteimpala.apache.orgblueflood.iowww.citusdata.comcouchdb.apache.org
Technical documentationimpala.apache.org/­impala-docs.htmlgithub.com/­rax-maas/­blueflood/­wikidocs.citusdata.comdocs.couchdb.org/­en/­stable
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaRackspaceApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developer
Initial release2013201320102005
Current release4.1.0, June 20228.1, December 20183.3.3, December 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoAGPL, commercial license also availableOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaCErlang
Server operating systemsLinuxLinux
OS X
LinuxAndroid
BSD
Linux
OS X
Solaris
Windows
Data schemeyespredefined schemeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 infospecific XML type available, but no XML query functionalityno
Secondary indexesyesnoyesyes infovia views
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infostandard, with numerous extensionsno
APIs and other access methodsJDBC
ODBC
HTTP RESTADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.View functions in JavaScript
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraShardingSharding infoimproved architecture with release 2.0
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infobased on CassandraSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno infoatomic operations within a single document possible
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infostrategy: optimistic locking
Durability infoSupport for making data persistentyesyesyesyes
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 Kerberosnofine grained access rights according to SQL-standardAccess rights for users can be defined per database

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