DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Citus vs. Hive vs. Impala

System Properties Comparison Citus vs. Hive vs. Impala

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonHive  Xexclude from comparisonImpala  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLdata warehouse software for querying and managing large distributed datasets, built on HadoopAnalytic DBMS for Hadoop
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.12
Rank#105  Overall
#52  Relational DBMS
Score72.12
Rank#17  Overall
#11  Relational DBMS
Score18.70
Rank#37  Overall
#23  Relational DBMS
Websitewww.citusdata.comhive.apache.orgwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.html
Technical documentationdocs.citusdata.comcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
DeveloperApache Software Foundation infoinitially developed by FacebookCloudera
Initial release201020122013
Current release8.1, December 20183.1.3, April 20224.1.0, June 2022
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache Version 2Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC++
Server operating systemsLinuxAll OS with a Java VMLinux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yes infospecific XML type available, but no XML query functionalityno
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsSQL-like DML and DDL statementsSQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
PHP
Python
All languages supporting JDBC/ODBC
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes infouser defined functions and integration of map-reduceyes infouser defined functions and integration of map-reduce
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsselectable replication factorselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
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.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and rolesAccess rights for users, groups and roles infobased on Apache Sentry and Kerberos

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
CitusHiveImpala
DB-Engines blog posts

Why is Hadoop not listed in the DB-Engines Ranking?
13 May 2013, Paul Andlinger

show all

Recent citations in the news

Microsoft Announces PostgreSQL Option for Cosmos DB
12 October 2022, The New Stack

Citus For PostgreSQL Goes Fully Open Source
4 July 2022, iProgrammer

Microsoft Expands Azure PostgreSQL Moxy Through Citus Data ...
30 January 2019, Data Center Knowledge

What is Azure Database for PostgreSQL Flexible Server?
24 June 2022, TechRepublic

Google Makes Postgres-Compatible AlloyDB Generally Available
14 December 2022, The New Stack

provided by Google News

5 Reasons Data Security Works Best with Open Standards
1 February 2023, CIO

Apache Linkis Graduated to Apache Top-Level Project
1 February 2023, InfoQ.com

What Is Apache Hive? (Definition, Benefits, Challenges)
19 December 2022, Built In

The Apache Software Foundation Announces Apache® Linkis™ as ...
18 January 2023, GlobeNewswire

Data Mesh Creator Takes Next Data Step
30 January 2023, Datanami

provided by Google News

Cloudera Boosts Hadoop App Development On Impala
9 August 2021, InformationWeek

Apache Impala 4 Supports Operator Multi-Threading
29 July 2021, iProgrammer

Cloudera aims to bring real-time queries to Hadoop, big data
24 October 2012, ZDNet

Man Busts Out of Google, Rebuilds Top-Secret Query Machine
24 October 2012, WIRED

How to add a data source to Redash
5 April 2022, TechRepublic

provided by Google News

Job opportunities

Database Architect Consultant
Exadel, United States

PostgreSQL DBA
Luxoft, Remote

Senior Database Administrator (US, Canada)
PEX, Oregon

Lead Database Administrator (Europe)
PEX, Remote

Senior Database Administrator (Europe)
PEX, Remote

ETL TESTER
Infinity Quest, Phoenix, AZ

Hadoop Developer
American Recruiting & Consulting Group, Remote

Database Engineer
Contact Government Services, LLC, Washington, DC

Machine Learning Engineer
Antra, Inc, Remote

Azure DataLake Analyst
Infinity Quest, Schaumburg, IL

Business Intelligence Developer
Early Warning Services, Scottsdale, AZ

Director, Commercial Data Science and Decision Analytics
SAGE Therapeutics, Massachusetts

Federal - Data Engineer
Accenture, Miami, FL

Federal - Data Engineer
Accenture, Raleigh, NC

Data Visualization Analyst
Apogee Integration LLC, Chantilly, VA

jobs by Indeed



Share this page

Featured Products

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 80GB free.

Redis logo

The world’s most loved real‑time data platform.
Try free

Vertica logo

Vertica Accelerator. The fastest analytics and machine learning, delivered as SaaS, with automated setup, administration, and management. Free trial.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here