DB-EnginesInfluxDB download bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Hive vs. Impala

System Properties Comparison Hive vs. Impala

Please select another system to include it in the comparison.

Our visitors often compare Hive and Impala with Spark SQL, HBase and Greenplum.

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonImpala  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopAnalytic DBMS for Hadoop
Primary database modelRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score73.00
Rank#15  Overall
#10  Relational DBMS
Score14.82
Rank#36  Overall
#22  Relational DBMS
Websitehive.apache.orgwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.html
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homewww.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
DeveloperApache Software Foundation infoinitially developed by FacebookCloudera
Initial release20122013
Current release2.3.0, July 20173.0.0, May 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsAll OS with a Java VMLinux
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.no
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesC++
Java
PHP
Python
All languages supporting JDBC/ODBC
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infouser defined functions and integration of map-reduce
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess 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
3rd partiesDremio is like magic for Hive accelerating your analytical queries up to 1,000x.
» more

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

More resources
HiveImpala
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

What Makes Apache Spark Sizzle? Experts Sound Off
11 March 2019, Datanami

Can On-Prem S3 Compete with HDFS for Analytic Workloads?
27 February 2019, Datanami

Global Apache Spark Market Emerging Trends and Top Key Players to Watch- IBM, Databricks, MapR Technologies, Qubole, and Cloudera and More in 2017-2025 - Press Release
20 March 2019, Digital Journal

Case Study: Multinational Retail Chain Migrates To Hadoop
7 March 2019, RTInsights

Redesigned data replication plays multicloud Twister game
27 February 2019, SiliconANGLE News

provided by Google News

Cloudera's a data warehouse player now
28 August 2018, ZDNet

Apache Impala Adds ODBC Scalar Functions
17 May 2018, iProgrammer

Apache Impala gets top-level status as open source Hadoop tool
1 December 2017, TechTarget

Cloudera Boosts Hadoop App Development On Impala
10 November 2014, InformationWeek

Cloudera, MapR, AtScale announce new releases at Strata
6 March 2018, ZDNet

provided by Google News

Job opportunities

Big Data Systems Engineer
Oath Inc, Sunnyvale, CA

Java/Big Data Developer
Booz Allen Hamilton, Chantilly, VA

Big Data Production Application Engineer
UnitedHealth Group, Basking Ridge, NJ

Big Data Engineer, Analytics
Abile Group, Inc., Chantilly, VA

Data Engineer
Tredence, Sunnyvale, CA

Data Analyst
Brillio, Georgia

Senior Data Scientist
Concho, Houston, TX

Java/J2EE/Python Developer, AVP
State Street, Quincy, MA

Database Architect
Wunderman, Houston, TX

Principal Database Engineer
Surescripts, LLC, Minneapolis, MN

jobs by Indeed




Share this page

Featured Products

Neo4j logo

Get your step-by-step guide comparing RDBMS to graph databases, including data models, query languages, and deployment strategies.

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

RavenDB logo

Runs on Windows, Linux, Raspberry Pi. Easy to Operate, Fast Performance.
APIs for JS, .NET, Python.
Take a Free Download

Redis logo

Start now with Redis Cloud
Secure, highly available Redis as a serverless, hosted, fully managed cloud service.
Sign up here.

Present your product here