DB-EnginesCrateDB 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 HBase, Greenplum and Cassandra.

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 modelsKey-value storeDocument store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score69.91
Rank#15  Overall
#10  Relational DBMS
Score14.51
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
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 with Apache Arrow.
» more

Progress DataDirect: Data connectivity across standard SQL and REST
» 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

The Apache Software Foundation Announces Apache® Airflow™ as a Top-Level Project
8 January 2019, GlobeNewswire

Big Data Information Access: Spark, Presto and Apache Hive (Oh My)
18 April 2018, ChannelE2E

Hadoop Distribution Market 2019: Analysis By Key-Players Google Cloud Platform, Microsoft, Amazon Web Services (AWS), Cloudera, Cray, Hortonworks, Huawei, IBM, MapR Technologies, Oracle, Qubole, Seabox, Teradata, Transwarp
19 January 2019, openPR

Why Cassandra And Hive Are The Best Prospective Big Data Tools For ML
4 July 2018, Analytics India Magazine

Is Hadoop Officially Dead?
18 October 2018, Datanami

provided by Google News

Tech’s Winning (and Losing) Jobs in 2019
2 January 2019, Dice Insights

Tech skills in most demand this year: data, cloud and cybersecurity
7 January 2019, ZDNet

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

provided by Google News

Job opportunities

Data Engineer
Tredence, Sunnyvale, CA

Senior Software Engineer (Big Data)
TrustYou, Remote

Data Engineer
IMC Financial Markets, Chicago, IL

Data Science Infrastructure Engineer
Partners HealthCare(PHS), Somerville, MA

SW Data Engineer
Cerebri AI, Washington, DC

Sr QA ETL Analyst
Bank of America, Plano, TX

Senior Data Scientist
Concho, Houston, TX

Practice Director, Cloud Technologies
Saama Technologies Inc, Campbell, CA

Database Architect
Wunderman, Houston, TX

Principal Database Engineer
Surescripts, LLC, Minneapolis, MN

jobs by Indeed




Share this page

Featured Products

Couchbase logo

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

Neo4j logo

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

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
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