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AWS Snowball vs Palantir Foundry comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 11, 2024
 

Categories and Ranking

AWS Snowball
Ranking in Data Migration Appliances
1st
Average Rating
8.8
Reviews Sentiment
7.3
Number of Reviews
7
Ranking in other categories
Cloud Migration (17th)
Palantir Foundry
Ranking in Data Migration Appliances
3rd
Average Rating
7.6
Number of Reviews
15
Ranking in other categories
Data Integration (12th), IT Operations Analytics (4th), Supply Chain Analytics (1st), Cloud Data Integration (10th), Data Management Platforms (DMP) (1st), Data and Analytics Service Providers (1st)
 

Mindshare comparison

As of November 2024, in the Data Migration Appliances category, the mindshare of AWS Snowball is 42.8%, up from 43.1% compared to the previous year. The mindshare of Palantir Foundry is 1.3%, down from 3.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Migration Appliances
 

Featured Reviews

Elvis Mengnjo - PeerSpot reviewer
Aug 7, 2024
Useful for data transfer, migration, and disaster recovery
I've used AWS Snowball mainly for data transfer, migration, and disaster recovery. It's great for moving large amounts of data securely and efficiently The features I like best are the tool's high capacity, scalability, end-to-end encryption for data security, ease of use, durability, and…
Manilal Kasera - PeerSpot reviewer
Nov 22, 2022
Transparent with good reliability and good data visibility
The initial setup had a medium level of difficulty. If we go through the documentation, we can learn about what to do. In Palantir, they had a section called Academy, and that Academy was quite useful. If you go through that as a new user, it makes the process easier as you learn what to do. Initially, we didn't have many sources that would help us learn things, so we struggled a bit. In contrast, with Azure and Amazon Cloud, you have many sources from where you would be easily able to learn. You could just Google what you needed with them, as there's so much available documentation online. What was easy was the fact that everything was in one place. With AWS Cloud, there are many applications to support. You can use Glue or Athena, and you have all these other applications. However, with Palantir, everything is easy due to the fact that it is centralized. It's drag and drop and everything is very transparent.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"You are able to scale the solution vertically. It's very scalable."
"The features I like best are the tool's high capacity, scalability, end-to-end encryption for data security, ease of use, durability, and cost-effectiveness. It's particularly cost-effective for transferring large amounts of data compared to high-speed internet transfers."
"It's a nice way of shipping a lot of data without using a network."
"The way the data is moved is very clever. Also, the interface is very simple and user-friendly."
"The most valuable features of AWS Snowball for me are its security measures and its flexibility."
"The flexibility of AWS Snowball is valuable. Its security allows for the ability to move and secure data without concern if the device is lost and the option to trace it back to AWS data centers."
"Encapsulates all the components without the requirement to integrate or check compatibility."
"The solution offers very good end-to-end capabilities."
"Great features available in one tool."
"Live video sessions enhance the available documentation and allow you to ask questions directly."
"The virtualization tool is useful."
"It is easy to map out a workflow and run trigger-based scripts without having to deploy to another server."
"The data lineage is great."
"It's scalable."
 

Cons

"It would be helpful if Snowball provided more kinds of connectivity. That will make it easier to add and move data."
"There's always room for improvement as you use the service more and gain expertise. Some challenges I've faced include the time factor (data transfer can be time-consuming), data validation after the transfer, risks associated with physical handling and shipping of the device, and ensuring data security during transit."
"The stability of the solution isn't ideal and should be improved."
"I think AWS Snowball could improve by expanding its availability to more countries."
"It's not an easy product to start using for a beginner, but If you're a professional, it's easy to understand."
"If AWS Snowball is intercepted, there is a potential risk of unauthorized access to the data."
"Compared to other hyperscalers, Palantir Foundry is complex and not so user-intuitive."
"They do not have a data center in Europe, and we have lots of personally identifiable information in our dataset that needs to be hosted by a third-party data center like Amazon or Microsoft Azure."
"It requires a lot of manual work and is very time-consuming to get to a functional point."
"The data lineage was challenging. It's hard to track data from the sources as it moves through stages. Informatica EDC can easily capture and report it because it talks to the metadata. This is generated across those various staging points."
"Some error messages can be very cryptic."
"The solution's visualization and analysis could be improved."
"The solution’s data security could be improved."
"It would be helpful to build applications based on Azure functions or web apps in Palantir Foundry."
 

Pricing and Cost Advice

"The tool's pricing depends on the type of Snowball device you choose, the amount of data you need to transfer, and the service fees involved. There’s a standard price for larger data transfers and a flat job fee, which includes the first ten days of on-site usage. Typically, there are no additional data transfer fees."
"It's not a cheap solution, but the price is right for the product."
"Palantir Foundry is an expensive solution."
"The solution’s pricing is high."
"It's expensive."
"Palantir Foundry has different pricing models that can be negotiated."
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Top Industries

By visitors reading reviews
Computer Software Company
15%
Financial Services Firm
13%
Manufacturing Company
9%
Government
9%
Manufacturing Company
13%
Financial Services Firm
11%
Computer Software Company
10%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

Which is better - Microsoft Azure Data Box or AWS Snowball?
Microsoft Azure Databox is a 45-pound, super rugged, tamper-resistant, human-managed hardware appliance that can transfer up to 100TB of data capacity to copy, store, then send to the Azure cloud. ...
What do you like most about AWS Snowball?
The most valuable features of AWS Snowball for me are its security measures and its flexibility.
What is your experience regarding pricing and costs for AWS Snowball?
AWS Snowball's pricing is affordable, offering two payment models: on-demand and committed upfront pricing. This affordability makes it accessible for organizations of different sizes, supporting t...
What do you like most about Palantir Foundry?
Palantir Foundry is a robust platform that has really strong plugin connectors and provides features for real-time integration.
What needs improvement with Palantir Foundry?
The solution’s data security could be improved. We cannot use many Python packages with the solution. We were able to use only a few compatible Python packages.
What is your primary use case for Palantir Foundry?
Our use cases are mostly related to data analytics. We are building some dashboards and ETL pipelines on the Palantir side. Palantir Foundry is a low-code/no-code platform with a user-friendly UI. ...
 

Also Known As

Amazon AWS Snowball, Amazon Snowball, Snowball
No data available
 

Overview

 

Sample Customers

Wazee Digital, Craftsy, Live Nation, Essess
Merck KGaA, Airbus, Ferrari,United States Intelligence Community, United States Department of Defense
Find out what your peers are saying about AWS Snowball vs. Palantir Foundry and other solutions. Updated: October 2024.
814,763 professionals have used our research since 2012.