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Datameer Self-Service Data Analytics Platform for AWS

Datameer Self-Service Data Analytics Platform for AWS

By: Datameer Latest Version: 7.4.4.1
Linux/Unix
Linux/Unix

Product Overview

Datameer is an Enterprise Data Analytics Pipeline and Discovery Platform that empowers Analysts, Data Engineers, and Data Scientists to easily access, transform, enrich/blend, and analyze all of their enterprise data regardless of the type, size, or location without having to write a line of code. Datameer users uncover same-day insights up to 150x faster than traditional development methods and can instantaneously productionalize their insights into data-pipelines for downstream deployment to the tool of their choice - including Redshift, Snowflake, SageMaker and Tableau.

Datameer enables self-service analytics and data exploration using familiar excel like user interface and real-time Visual Explorer. Customers are able to explore, curate and productionalize their datasets in minutes, and focus on their biggest "what-ifs".

Datameer leverages the power of AWS EMR compute clusters to handle the scale, volume, and complexity of big data and heavy-duty enterprise workloads. Customers can easily integrate data from any source using pre-built connectors - including S3, Redshift, and Snowflake, and provide a bridge to traditional enterprise on-premise data sources (like Oracle and Teradata).

Try it yourself with our unrestricted 14-day free trial that also includes a free configuration and support. After the trial period Datameer Enterprise is available at an hourly rate and comes provisioned as a clustered instance with up to 3 nodes (48 total vCPUs for the recommended instance size) - sufficient for most use cases.
Larger custom configurations and discounted annual pricing are available through AWS Marketplace private offers. If interested, please contact us at https://www.datameer.com/contact/

Version

7.4.4.1

Operating System

Linux/Unix, Ubuntu 16.04

Delivery Methods

  • CloudFormation Template

Pricing Information

Usage Information

Support Information

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