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

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	16.07
Rank	#36	Overall
	#23	Relational DBMS

Score	1.72
Rank	#128	Overall
	#66	Relational DBMS

Website

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

www.voltdb.com

Technical documentation

docs.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

10.1, October 2020

License

Commercial or Open Source

Open Source

Apache Version 2

Open Source

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

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

C++

Java, C++

Server operating systems

Linux

Linux
OS X

for development

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

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

not officially supported
Go
Java
JavaScript

Node.js
PHP
Python

Server-side scripts

Stored procedures

yes

user defined functions and integration of map-reduce

Java

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

Multi-source replication
Source-replica replication

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

Eventual Consistency

Foreign keys

Referential integrity

FOREIGN KEY constraints are not supported

Transaction concepts

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

ACID

Transactions are executed single-threaded within stored procedures

Concurrency

Support for concurrent manipulation of data

yes

Data access is serialized by the server

Durability

Support for making data persistent

yes

Snapshots and command logging

In-memory capabilities

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

User concepts

Access control

Access rights for users, groups and roles

based on Apache Sentry and Kerberos

Users and roles with access to stored procedures

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

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

Apache Impala Adds ODBC Scalar Functions
17 May 2018, iProgrammer

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

provided by Google News

Global NEWSQL Database Market 2025: Microsoft Corporation, IBM, Oracle, SAP, Amazon, Pivotal, Altibase, MemSQL, TIBCO, VoltDB, Google, Cockroach Labs, MariaDB, ScaleArc (Ignite Technologies)
24 February 2021, NY Market Reports

In-memory OLAP Database Market, Top key players are- Altibase, IBM, Microsoft, Oracle, SAP SE, Exasol, Jedox, Kognitio, Mcobject, MemSQL, MicroStrategy, SAS Institute, Teradata, Terracotta, VoltDB – NeighborWebSJ
10 February 2021, NeighborWebSJ

OLAP Database System Beating Market By Excellent Revenue Growth : Domo, Dundas BI, Exasol, IBM – NeighborWebSJ
23 February 2021, NeighborWebSJ

In-Memory Database Market Present Status, Future Growth 2026 and Key Players – Amazon Web Services, Altibase Corporation, McObject LLC, Microsoft Corporation, VoltDB, SAP SE
23 February 2021, The Bisouv Network

Global RDBMS Software Market 2025: Microsoft, Oracle, PostgreSQL Global Development Group, SQLite, IBM, SolarWinds IT Operations Management, Cubrid, TmaxSoft, CA Technologies, ThinkSQL, FrontBase, MonetDB, VoltDB
22 February 2021, NeighborWebSJ

provided by Google News

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