The Total Economic Impact™ Of Snowflake For Application Builders Procured Through AWS Marketplace

Forrester Study reveals ROI of 405% and benefits of over $10 Million over 3 years for a sample composite organization that built their data apps in the Data Cloud and procured Snowflake through AWS Marketplace.

Read this study to learn how several companies leveraged Snowflake and AWS Marketplace to increase profits, save costs, and accelerate time to market for their data applications while improving scalability and performance, simplifying day 2 operations, and streamlining procurement.

Snowflake and AWS commissioned Forrester Consulting to conduct a Total Economic Impact study that included interviews with 8 companies to obtain data on costs, benefits, and risks associated with their investment in Snowflake through AWS Marketplace. Benefits for a composite organization based on participating companies include:

  • Cost savings from faster time to market worth $2.3 million
  • Increase profit of $2.2 million from faster time to market
  • Cost savings on infrastructure and data platform management of $4.8 million
  • Total benefits of over $10 million over 3 years

TDWI Infographic | BI, Analytics, and the Cloud Best Practices

The cloud is becoming a mature platform for data management, integration, business intelligence (BI), and analytics. Business leaders understand that the cloud can provide flexibility, scalability, and agility for their BI and analytics projects. Instances of the cloud can quickly spin up (or down) without the cost and delays of installing on-premises applications. In the recent TDWI Best Practices Report: BI, Analytics, and the Cloud, we take a look at organizations’ experiences with and plans for cloud BI and analytics, including how satisfied organizations are with the cloud and why, overcoming cloud adoption challenges, and what your organization should consider when moving to the cloud. Here are several of the key survey results.

This infographic explores the results from that report.

TDWI Best Practices Report: BI, Analytics and Cloud Strategies


Authored by Fern Halper and David Stodder

This report educates organizations in best practices and options for cloud business intelligence (BI) and analytics. This includes organizational strategies for the cloud as well as new platform options and other considerations.

The report also examines how organizations are using cloud BI and analytics and gaining value from them.

Key Findings:

  • Top cloud analytics drivers include scalability, flexibility, and cost
  • Resistance to the cloud is definitely diminishing
  • Organizations should make sure that pricing models are flexible so that they can scale up and down easily


Please register to review the entire report.

Eckerson Group’s Product Brief: Snowflake Elastic Data Warehouse

Product Brief: Snowflake Elastic Data Warehouse

Please register to receive a complimentary copy of Eckerson Group’s Product Brief which provides a summary the innovative technology behind Snowflake’s cloud data warehouse offering.

In this brief, Eckerson Group’s research covers:

-Key differentiators
-Product Profile
-Key Use Cases


“The demand for cloud-based alternatives to traditional data management systems is accelerating rapidly among businesses looking to offload infrastructure and administrative tasks and gain new capabilities that on-premises systems can’t deliver. Snowflake’s Elastic Data Warehouse is a cloud-based data warehousing service that incorporates a flexible data management architecture that decouples storage from compute.”

Register now!

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Where Do I Go from Here?

Forrester’s Breakout Vendors: Big Data Integration

Breakout Vendors: Big Data Integration

Looker Data Sciences, SnapLogic, And Snowflake Computing Push The Boundaries Of Established Big Data Integration – Authored by Brian Hopkins, VP and Principal Analyst, serving Enterprise Architecture professionals.

How are you going to get more value from your data lake? Most big data integration vendors focus on making classic processes faster with tools for moving data into a lake and working with it there. Three innovative vendors — Looker Data Sciences, SnapLogic, and Snowflake Computing — offer alternatives.

Read this report to understand how they are pushing the boundaries of big data integration with new ideas about how to get value faster.

Please register to review the entire report.

TDWI Checklist Report: Using and Choosing a Cloud Solution for Data Warehousing

Authored by Colin White

This checklist identifies the benefits the cloud offers, offers potential use cases, and presents key criteria for using and choosing a cloud solution for data warehousing.


The cloud environment offers a pay-as-you-go, on-demand, and elastic scalability model that can provide significant benefits for both the business and IT. Compared to an on-premises IT environment, cloud computing reduces up-front project costs and enables organizations to scale their applications as required while paying only for the resources they use.

The cloud is, therefore, an ideal environment for data warehousing projects given the large data volumes and unpredictable nature of the analytic workloads involved.