AWS Glue vs. Snowflake

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AWS Glue
Score 7.9 out of 10
N/A
AWS Glue is a managed extract, transform, and load (ETL) service designed to make it easy for customers to prepare and load data for analytics. With it, users can create and run an ETL job in the AWS Management Console. Users point AWS Glue to data stored on AWS, and AWS Glue discovers data and stores the associated metadata (e.g. table definition and schema) in the AWS Glue Data Catalog. Once cataloged, data is immediately searchable, queryable, and available for ETL.
$0.44
billed per second, 1 minute minimum
Snowflake
Score 9.0 out of 10
N/A
The Snowflake Cloud Data Platform is the eponymous data warehouse with, from the company in San Mateo, a cloud and SQL based DW that aims to allow users to unify, integrate, analyze, and share previously siloed data in secure, governed, and compliant ways. With it, users can securely access the Data Cloud to share live data with customers and business partners, and connect with other organizations doing business as data consumers, data providers, and data service providers.N/A
Pricing
AWS GlueSnowflake
Editions & Modules
per DPU-Hour
$0.44
billed per second, 1 minute minimum
No answers on this topic
Offerings
Pricing Offerings
AWS GlueSnowflake
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
AWS GlueSnowflake
Considered Both Products
AWS Glue
Chose AWS Glue
The main reason we choose AWS Glue over Talend Open Studio 1) Does not support Spark 2) Run only on java 3) not really feasible solution for heavy workloads 4) most of the cases need customer support 5) no proper documentation is available
Snowflake

No answer on this topic

Top Pros
Top Cons
Best Alternatives
AWS GlueSnowflake
Small Businesses
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
Google BigQuery
Google BigQuery
Score 8.6 out of 10
Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
Db2
Db2
Score 8.7 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.1 out of 10
Db2
Db2
Score 8.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AWS GlueSnowflake
Likelihood to Recommend
7.7
(7 ratings)
9.2
(37 ratings)
Likelihood to Renew
-
(0 ratings)
10.0
(2 ratings)
Usability
-
(0 ratings)
8.7
(13 ratings)
Support Rating
7.0
(1 ratings)
9.9
(8 ratings)
Contract Terms and Pricing Model
-
(0 ratings)
8.0
(1 ratings)
User Testimonials
AWS GlueSnowflake
Likelihood to Recommend
Amazon AWS
One of AWS Glue's most notable features that aid in the creation and transformation of data is its data catalog. Support, scheduling, and the automation of the data schema recognition make it superior to its competitors aside from that. It also integrates perfectly with other AWS tools. The main restriction may be integrated with systems outside of the AWS environment. It functions flawlessly with the current AWS services but not with other goods. Another potential restriction that comes to mind is that glue operates on a spark, which means the engineer needs to be conversant in the language.
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Snowflake Computing
I am over our HR data, and we use Workday for our HR management system. I have a script in place that runs reports on Workday and saves the results as CSVs. I can then use stages in Snowflake to insert these CSVs into Snowflake, then I can insert or truncate and replace these staged tables into a final schema. Then once these are in a schema I can reference them and build out my data models. In addition to ingesting CSVs, Snowflake has the ability to write a CSV file to our Amazon S3 bucket. Ingesting these CSVs, transforming the data, then delivering it to a destination would've involved so much more coding than my current process if we were on any other platform.
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Pros
Amazon AWS
  • It is extremely fast, easy, and self-intuitive. Though it is a suite of services, it requires pretty less time to get control over it.
  • As it is a managed service, one need not take care of a lot of underlying details. The identification of data schema, code generation, customization, and orchestration of the different job components allows the developers to focus on the core business problem without worrying about infrastructure issues.
  • It is a pay-as-you-go service. So, there is no need to provide any capacity in advance. So, it makes scheduling much easier.
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Snowflake Computing
  • Snowflake scales appropriately allowing you to manage expense for peak and off peak times for pulling and data retrieval and data centric processing jobs
  • Snowflake offers a marketplace solution that allows you to sell and subscribe to different data sources
  • Snowflake manages concurrency better in our trials than other premium competitors
  • Snowflake has little to no setup and ramp up time
  • Snowflake offers online training for various employee types
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Cons
Amazon AWS
  • In-Stream schema registries feature people can not use this more efficiently
  • in Connections feature they can add more connectors as well
  • The crucial problem with AWS Glue is that it only works with AWS.
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Snowflake Computing
  • This tool is very much technical and proper knowledge is required, so mostly you have to hire an IT team.
  • I wish if various videos could be available for basic quires like its initiation, then I think it would act as a guideline and would help the beginners a lot.
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Likelihood to Renew
Amazon AWS
No answers on this topic
Snowflake Computing
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
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Usability
Amazon AWS
No answers on this topic
Snowflake Computing
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.
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Support Rating
Amazon AWS
Amazon responds in good time once the ticket has been generated but needs to generate tickets frequent because very few sample codes are available, and it's not cover all the scenarios.
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Snowflake Computing
We have had terrific experiences with Snowflake support. They have drilled into queries and given us tremendous detail and helpful answers. In one case they even figured out how a particular product was interacting with Snowflake, via its queries, and gave us detail to go back to that product's vendor because the Snowflake support team identified a fault in its operation. We got it solved without lots of back-and-forth or finger-pointing because the Snowflake team gave such detailed information.
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Alternatives Considered
Amazon AWS
AWS Glue is a fully managed ETL service that automates many ETL tasks, making it easier to set AWS Glue simplifies ETL through a visual interface and automated code generation.
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Snowflake Computing
I have had the experience of using one more database management system at my previous workplace. What Snowflake provides is better user-friendly consoles, suggestions while writing a query, ease of access to connect to various BI platforms to analyze, [and a] more robust system to store a large amount of data. All these functionalities give the better edge to Snowflake.
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Return on Investment
Amazon AWS
  • It had a positive impact on the way we build our data lake.
  • It is the single source of truth for data structure (schemas/tables/views).
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Snowflake Computing
  • Positive impact: we use Snowflake to track our subscription and payment charges, which we use for internal and investor reporting
  • Positive impact: 3 times faster query speed compared to Treasure Data means that answers to stakeholders can be delivered quicker by analysts
  • Positive impact: recommender systems now source their data from Snowflake rather than Spark clusters, improving development speed, and no longer require maintainence of Spark clusters.
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ScreenShots

Snowflake Screenshots

Screenshot of Snowflake Installation