DBMS > Impala vs. VoltDB

System Properties Comparison Impala vs. VoltDB

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Editorial information provided by DB-Engines

Name

Description

Analytic DBMS for Hadoop

Distributed In-Memory NewSQL RDBMS info

Used for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory

Primary database model

Relational DBMS

Secondary database models

Document store

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

Score	14.26
Rank	#36	Overall
	#22	Relational DBMS

Score	1.57
Rank	#127	Overall
	#62	Relational DBMS

Website

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

www.voltdb.com

Technical documentation

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

docs.voltdb.com

Developer

Cloudera

VoltDB Inc.

Initial release

2013

2010

Current release

3.3.0, August 2019

9.0, April 2019

License

Commercial or Open Source

Open Source info

Apache Version 2

Open Source info

AGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions

Cloud-based only info

Only available as a cloud service

DBaaS offerings (sponsored links) info

Database as a Service

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

Implementation language

C++

Java, C++

Server operating systems

Linux

Linux
OS X info

for development

Data scheme

yes

Typing

predefined data types such as float or date

yes

XML support info

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

SQL-like DML and DDL statements

yes

only a subset of SQL 99

APIs and other access methods

JDBC
ODBC

Java API
JDBC
RESTful HTTP/JSON API

Supported programming languages

All languages supporting JDBC/ODBC

C#
C++
Erlang info

not officially supported
Go
Java
JavaScript info

Node.js
PHP
Python

Server-side scripts info

Stored procedures

yes

user defined functions and integration of map-reduce

Java

Triggers

Partitioning methods info

Methods for storing different data on different nodes

Sharding

Replication methods info

Methods for redundantly storing data on multiple nodes

selectable replication factor

Master-master replication
Master-slave replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

query execution via MapReduce

Consistency concepts info

Methods to ensure consistency in a distributed system

Eventual Consistency

Foreign keys info

Referential integrity

FOREIGN KEY constraints are not supported

Transaction concepts info

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

ACID

Transactions are executed single-threaded within stored procedures

Concurrency info

Support for concurrent manipulation of data

yes

Data access is serialized by the server

Durability info

Support for making data persistent

yes

Snapshots and command logging

In-memory capabilities info

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

User concepts info

Access control

Access rights for users, groups and roles info

based on Apache Sentry and Kerberos

Users and roles with access to stored procedures

More information provided by the system vendor

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More resources

Recent citations in the news

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

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

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

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

Shark: Real-time queries and analytics for big data
26 November 2012, O'Reilly Radar

provided by Google News

In-Memory Database Market 2020 Opportunities and Share by 2027 Top Key Players – Amazon Web Services, Altibase Corporation, McObject LLC, Microsoft Corporation, VoltDB and More
2 June 2020, News Distinct

VoltDB Secures $10 Million in Series C Funding to Meet Demand for 5G Data Requirements
23 October 2019, PRNewswire

Global In-Memory Database Market Outlook and Forecast 2020 due to COVID-19 Impact
2 June 2020, Cole of Duty

Global NEWSQL Database Market Expected to Reach Highest CAGR by 2025 Top Players: Microsoft Corporation, IBM, Oracle, SAP, Amazon, Pivotal
2 June 2020, Cole of Duty

GLOBAL IN-MEMORY OLAP DATABASE MARKET 2020 BY MANUFACTURERS, COUNTRIES, TYPE AND APPLICATION, FORECAST TO 2023 – Distinct Analysis & Reports
2 June 2020, News Distinct

provided by Google News

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