Redis Enterprise Cloud™* vs. Snowflake

Redis Cloud is very well suited for scenarios where fast data access is required or somewhat unstructured data needs to be stored. For us, it has worked very well for user session storage. However, if you have large amounts of structured data that is not frequently accessed, Redis is not the solution and a traditional relational database is likely more appropriate.

Incentivized

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.

Incentivized

• Ease of setup and deployment via Heroku
• Reliability and splicity
• Fair pricing

Incentivized

• 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

Incentivized

• The only area of improvement I have found is the documentation is sometimes lacking and could be a little more comprehensive.

Incentivized

• 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.

Incentivized

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

Incentivized

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.

Incentivized

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.

Incentivized

I've used Heroku Redis and RedisToGo. Redis Cloud has the best free/developer plan, and we have never had an issue.

Incentivized

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.

Incentivized

• Redis Cloud is very affordable and therefore the cost is negligible when compared to the benefits— immediate ROI with very little startup costs.

Incentivized

• 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.

Incentivized