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

DBMS > Impala vs. TerarkDB

System Properties Comparison Impala vs. TerarkDB

Please select another system to include it in the comparison.

Our visitors often compare Impala and TerarkDB with Ignite, TiDB and MongoDB.

Editorial information provided by DB-Engines
NameImpala  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSKey-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.57
Rank#37  Overall
#23  Relational DBMS
Score0.08
Rank#301  Overall
#51  Key-value stores
Websitewww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlgithub.com/­Terark/­terarkdb
Technical documentationwww.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmlgithub.com/­Terark/­terarkdb/­wiki
DeveloperClouderaTerark
Initial release20132016
Current release3.3.0, August 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial inforestricted open source version available
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 languageC++C++
Server operating systemsLinux
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesno
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.nono
Secondary indexesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
C++ API
Java API
Supported programming languagesAll languages supporting JDBC/ODBCC++
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual 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.noyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosno

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
ImpalaTerarkDB
Recent citations in the news

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

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

Cloudera says Impala is faster than Hive, which isn't saying much
13 January 2014, GigaOM

Cloudera’s Impala brings Hadoop to SQL and BI
25 October 2012, ZDNet

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

provided by Google News

A Chinese company is making the cloud 200x faster · TechNode
3 July 2017, TechNode

ByteDance eyes big data push with Terark acquisition
30 April 2019, EJ Insight

Terark, A Chinese Startup, May Have Just Revolutionized How Data Is Stored, Accessed & Analyzed
26 June 2017, Indiatimes.com

provided by Google News

Job opportunities

Cloud Admin
Avani Technology Solutions Inc, Orange, CA

Architect, GeForce NOW - Cloud
NVIDIA, Santa Clara, CA

Google Cloud Data Architect
Pythian, United States

Big Data Lead
Brillio, Santa Clara, CA

Business Intelligence Developer
Early Warning Services, Scottsdale, AZ

jobs by Indeed




Share this page

Featured Products

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

RavenDB logo

Setup a fully managed RavenDB Cloud Database in minutes. Enjoy hosting, management, backups all in one place.
Grab a Free Instance

Redis logo

Hosted, serverless DBaaS
in 3 steps.

30MB Free!
Start now.

Couchbase logo

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

Present your product here