DBMS > H2GIS vs. Impala

System Properties Comparison H2GIS vs. Impala

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Editorial information provided by DB-Engines

Name

Description

Spatial extension of H2

Analytic DBMS for Hadoop

Primary database model

Spatial DBMS

Relational DBMS

Secondary database models

Relational DBMS

Document store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.08
Rank	#380	Overall
	#7	Spatial DBMS

Score	17.39
Rank	#37	Overall
	#23	Relational DBMS

Website

www.h2gis.org

www.cloudera.com/products/open-source/apache-hadoop/impala.html

Technical documentation

www.h2gis.org/docs/home

docs.cloudera.com/documentation/enterprise/latest/topics/impala.html

Developer

CNRS

Cloudera

Initial release

2013

Current release

4.1.0, June 2022

License

Commercial or Open Source

Open Source

LGPL 3.0

Open Source

Apache Version 2

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

C++

Server operating systems

Linux

Data scheme

yes

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

SQL

Support of SQL

yes

SQL-like DML and DDL statements

APIs and other access methods

JDBC
ODBC

Supported programming languages

Java

All languages supporting JDBC/ODBC

Server-side scripts

Stored procedures

yes

based on H2

yes

user defined functions and integration of map-reduce

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

based on H2

selectable replication factor

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

query execution via MapReduce

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

yes

based on H2

Access rights for users, groups and roles

based on Apache Sentry and Kerberos

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More resources

Recent citations in the news

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

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

Cloudera Boosts Hadoop App Development On Impala
10 November 2014, 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

provided by Google News

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