What users are saying about
Top Rated
115 Ratings
21 Ratings
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Score 7.1 out of 100
Top Rated
115 Ratings
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Score 9 out of 100

Likelihood to Recommend

Azure Machine Learning Studio

For [a] data scientist require[d] to build a machine learning model, so he/she didn't worry about infrastructure to maintain it.
All kind of feature[s] such as train, build, deploy and monitor the machine learning model available in a single suite.
If someone has [their] own environment for ML studio, so there [it would] not [be] useful for them.
Anonymous | TrustRadius Reviewer

Snowflake

For an organization that has small, medium, or large data collection, Snowflake provides the best infrastructure to store, manage, utilize and analyze the data. Especially for companies that are growing at a really fast pace, it helps you not only with warehouse capabilities but also its connection with several BI tools give you the flexibility and option to connect and analyze the data [in] real time.
Rounak Verma | TrustRadius Reviewer

Pros

Azure Machine Learning Studio

  • User friendliness: This is by far the most user friendly tool I've seen in analytics. You don't need to know how to code at all! Just create a few blocks, connect a few lines and you are capable of running a boosted decision tree with a very high R squared!
  • Speed: Azure ML is a cloud based tool, so processing is not made with your computer, making the reliability and speed top notch!
  • Cost: If you don't know how to code, this is by far the cheapest machine learning tool out there. I believe it costs less than $15/month. If you know how to code, then R is free.
  • Connectivity: It is super easy to embed R or Python codes on Azure ML. So if you want to do more advanced stuff, or use a model that is not yet available on Azure ML, you can simply paste the code on R or Python there!
  • Microsoft environment: Many many companies rely on the Microsoft suite. And Azure ML connects perfectly with Excel, CSV and Access files.
Gabriel Chiararia | TrustRadius Reviewer

Snowflake

  • This is a cloud-based application that provides me a secure platform for the easy sharing of data with my clients.
  • I feel confident to connect with my numerous business partners just because of its advanced security and effective programming.
  • Through this tool, I am capable of integrating, analyzing, and the entire data in a precise form and with analytics as well, due to which I always have a transparent idea about the data extraction and its transfer from multiple clouds.
Darren Mihalic | TrustRadius Reviewer

Cons

Azure Machine Learning Studio

  • It would be great to have text tips that could ease new users to the platform, especially if an error shows up
  • Scenario-based documentation
  • Pre-processing of modules that had been previously run. Sometimes they need to be re-run for no apparent reason
Anonymous | TrustRadius Reviewer

Snowflake

  • Snowflake UI can be clunky and breaks sometimes, which can be annoying
  • Snowflake has to be paired with the Data Build Tool (DBT) to allow for templating and macro usage. No inbuilt solution.
  • Snowflake Python connector development doesn't necessarily track popular packages such as Pandas as quickly as Pandas releases
  • Could do with better machine learning capability over warehouse tables, but I assume this is coming soon
Anonymous | TrustRadius Reviewer

Likelihood to Renew

Azure Machine Learning Studio

Azure Machine Learning Studio 7.0
Based on 1 answer
No answer on this topic is available.

Snowflake

Snowflake 8.0
Based on 1 answer
SnowFlake is very cost effective and we also like the fact we can stop, start and spin up additional processing engines as we need to. We also like the fact that it's easy to connect our SQL IDEs to Snowflake and write our queries in the environment that we are used to
Anonymous | TrustRadius Reviewer

Usability

Azure Machine Learning Studio

Azure Machine Learning Studio 7.0
Based on 2 answers
Easy and fastest way to develop, test, deploy and monitor the machine learning model.
- Easy to load the data set
-Drag and drop the process of the Machine learning life cycle.
Anonymous | TrustRadius Reviewer

Snowflake

Snowflake 8.7
Based on 11 answers
The interface is similar to other SQL query systems I've used and is fairly easy to use. My only complaint is the syntax issues. Another thing is that the error messages are not always the easiest thing to understand, especially when you incorporate temp tables. Some of that is to be expected with any new database.
Jake Schlingman | TrustRadius Reviewer

Support Rating

Azure Machine Learning Studio

Azure Machine Learning Studio 7.0
Based on 2 answers
Support is nonexistent. It's very frustrating to try and find someone to actually talk to. The robot chatbots are just not well trained.
Anonymous | TrustRadius Reviewer

Snowflake

Snowflake 8.8
Based on 10 answers
Overall, the support from Snowflake has been very good. Since we are one of the major users for Snowflake and have a dedicated tech team to solve all the technical problem on our way. On the side of the technical problem, any sql related questions can be found from everywhere online.
Anonymous | TrustRadius Reviewer

Implementation Rating

Azure Machine Learning Studio

Azure Machine Learning Studio 8.0
Based on 1 answer
Anonymous | TrustRadius Reviewer

Snowflake

No score
No answers yet
No answers on this topic

Alternatives Considered

Azure Machine Learning Studio

It is easier to learn, it has a very cost effective license for use, it has native build and created for Azure cloud services, and that makes it perfect when compared against the alternatives. As a Microsoft tool, it has been built to contain many visual features and improved usability even for non-specialist users.
Anonymous | TrustRadius Reviewer

Snowflake

In my experience running the data management practice at InterWorks, we believe that cloud data warehouse products will eventually serve the majority of data warehousing use cases and power data analytics at most companies. Of this cohort, we believe that Snowflake is the best among them for most customers. It's easier to manage, in many cases faster, and in almost all cases it is less expensive because of the ability to automatically resume and suspend depending on usage.
Brian Bickell | TrustRadius Reviewer

Return on Investment

Azure Machine Learning Studio

  • Productivity: Instead of coding and recoding, Azure ML helped my organization to get to meaningful results faster;
  • Cost: Azure ML can save hundreds (or even thousands) of dollars for an organization, since the license costs around $15/month per seat.
  • Focus on insights and not on statistics: Since running a model is so easy, analysts can focus more on recommendations and insights, rather than statistical details
Gabriel Chiararia | TrustRadius Reviewer

Snowflake

  • Faster data retrieval makes real time analysis possible.
  • Option to create multiple warehouses enable us to track usages and cost by departments.
  • Option to scale up/down computational warehouse to support peak hours and month end loads makes Snowflake cost effective.
  • Zero-copy cloning reduces storage and deployment cost.
  • Multiple users can access the same amount of data without deadlocks which is a common scenario in relational databases.
Anonymous | TrustRadius Reviewer

Pricing Details

Azure Machine Learning Studio

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Azure Machine Learning Studio Editions & Modules

Edition
Studio Pricing - Free$0.001
Studio Pricing - Standard$9.992
Production Web API - Dev/Test$0.003
Production Web API - Standard S1$100.133
Production Web API - Standard S2$1000.063
Production Web API - Standard S3$9999.983
  1. per month
  2. per ML studio workspace/per month
  3. per month
Additional Pricing Details

Snowflake

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Snowflake Editions & Modules

Edition
US East$20.001
  1. Per TB
Additional Pricing Details

Add comparison