Exasol Analytic Database (Single Node or Cluster, Pay-As-You-Go)

Product Overview

Exasol is the fastest in-memory MPP database according to the TPC-H benchmark for clustered, decision support databases.You can easily install an Exasol Cluster on AWS using our Cloud Deployment Wizzard (https://cloudtools.exasol.com/#/aws).Since 09/24/2014 Exasol holds the unmatched score of 1.6 million queries per hour.Exasol has been designed specifically for BI, analytics and reporting and scales rapidly from 10's GBs to 100's TBs data, is quick to implement and delivers highest performance while keeping costs and complexity low.Exasol is being used in a wide range of Big Data use cases, including accelerating standard reporting, running multi-user ad-hoc analytics, and performing complex modelling using predictive in-database analytics. As a data warehouse and analytics engine, Exasol can be used either standalone or integrated with Hadoop and Spark.In addition out-of-the-box support for R, Python, Java and Lua allows you to integrate the programming language of your choice and use it for in-database analytics.Exasol supports standard interfaces for integrating upstream (Data Integration) and downstream (BI) tools. Our standard interfaces include ODBC, JDBC, WebSockets and ADO.NET. Exasol works in production environments with BI and Data Integration tools from all the leading vendors.
Version: Exasol-R7.1.25-PAYG

By: EXASOL AG

Categories: Databases
Analytic Platforms
Business Intelligence & Advanced Analytics

Operating System
Linux/Unix, CentOS 7.x
Delivery Methods
Amazon Machine Image
Related ProductsTheHive v4 Official AMIProComputers packaged Red Hat Enterprise Linux 8 w/Latest Updates imageProComputers packaged Red Hat Enterprise Linux 7 image w/Latest UpdatesUbuntu Server 20.04 Minimal Server OS

Highlights: Maximum performance - Shared nothing MPP approach enables you to process 100's of TBs of data with up to sub-second response time Low Total Cost of Ownership (TCO) - Intelligent algorithms that continuously monitor usage and perform self-tuning jobs, which in turn optimize system performance and minimize administration overhead reducing your operational costs significantly Advanced analytics and Data Science - Enables you to create User Defined Functions (UDF) allowing you to easily run in-database advanced analytic jobs using R, Python, Lua, Julia, C++ or Java

Category: Infrastructure Software

Delivery Method: Amazon Machine Image