What users are saying about
Top Rated
84 Ratings
13 Ratings
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Score 7.6 out of 100
Top Rated
84 Ratings
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Score 9.1 out of 100

Likelihood to Recommend

AWS Auto Scaling

AWS Auto Scaling is very much suited for the organisation where high-end applications are used mostly. It allows you to manage various instances on which it can work automatically with predefined peak values. It supports in low costing and performance improvement of the system who works on the cloud.
Vrushali Raskar | TrustRadius Reviewer

Snowflake

Specific scenarios where Snowflake is very strong include analytical data processing scenarios. Snowflake is wonderful at inexpensively consolidating and storing data and allowing very fast access to that data while maintaining a low cost profile with it's ability to automatically resume and suspend virtual warehouses. Snowflake is less suited to transaction processing scenarios and isn't a best choice to back up an online order processing system.
Brian Bickell | TrustRadius Reviewer

Pros

AWS Auto Scaling

  • Smart scaling decisions
  • Automatically maintain performance
  • Pay per use
Anonymous | TrustRadius Reviewer

Snowflake

  • Resources that scale up and down automatically to ensure that queries run quickly and efficiently without paying for computing power that is not being used
  • Much more reliable than our previous software
  • No noticable limit to query size
  • Runs very quickly
Jake Schlingman | TrustRadius Reviewer

Cons

AWS Auto Scaling

  • It should be made available all over the world.
  • Auto response time should be manageable.
  • Auto scaling time should be less with improvement in coding.
Vrushali Raskar | TrustRadius Reviewer

Snowflake

  • Very limited amount of tabs - saved queries, which requires us to store the code somewhere else and re-use existing queries.
  • Performance can really be a problem if there are many users on the system at the same time.
  • SnowFlake support sometimes can be hard to reach.
Anonymous | TrustRadius Reviewer

Likelihood to Renew

AWS Auto Scaling

No score
No answers yet
No answers on this topic

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

AWS Auto Scaling

No score
No answers yet
No answers on this topic

Snowflake

Snowflake 8.7
Based on 11 answers
Extensive documentation and several tutorial videos are available online which reduces learning and deployment time. User Interface is very intuitive and provide flexibility to create databases, schema, tables and assign permissions in a few clicks (no need to write SQL queries). SQL History helps to track usages and billing dashboard provide credit breakup per warehouse. Create views and write procedures in JavaScript for more complex data transformation requirement
Anonymous | TrustRadius Reviewer

Support Rating

AWS Auto Scaling

No score
No answers yet
No answers on this topic

Snowflake

Snowflake 8.7
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

Alternatives Considered

AWS Auto Scaling

Used for the below reasons:
  • Easy to implement and use
  • Pay per use, cost savings
  • Automate and build scaling plans
  • Automate performance and workload
Anonymous | TrustRadius Reviewer

Snowflake

The average percentage of time that a data warehouse is actually doing something is around 20%. Given this, the price by query estimate becomes an important pricing consideration. For this, Snowflake crucially decouples of storage and compute. With Snowflake you pay for 1) storage space used and 2) amount of time spent querying data. Snowflake also has a notion of a “logical warehouse” which is the “compute” aspect of the database. These warehouses can be scaled up or down to deliver different grades of performance. You can also configure the number of compute nodes to parallelize query execution. These warehouses can be configured to “pause” when you’re not using them for cost efficiency. As a result, you can have a super beefy warehouse for BI queries that’s only running when people are using your BI tools, while your background batch jobs can use cheaper hardware.
Andrew Goss | TrustRadius Reviewer

Return on Investment

AWS Auto Scaling

  • Immediate replies to system changes.
  • Cost management.
  • Performance improvement.
Vrushali Raskar | TrustRadius Reviewer

Snowflake

  • Quick installation/setup for a data warehouse solution.
  • Make easy to handle/manage the various type of semi-structured data using the native solutions and provided new data modeling concepts such as schema-read data model and schema-write data model.
  • Make easy and simplified the workload management using virtual warehouses and materialized views.
Jacob Biguvu | TrustRadius Reviewer

Pricing Details

AWS Auto Scaling

General

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

AWS Auto Scaling Editions & Modules

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