Amazon Athena vs. Redis Cloud

If you are looking to take a lot of the traditional "database administration" work off someone's plate, going with Amazon Athena certainly has "no code" options to optimize lots of database tasks. I would say this option is less appropriate if you have other Microsoft things at play, such as Power BI.

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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.

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• Nested Schemas like JSON data structure
• Ability to adapt the data model to fit your queries better
• Performance Improvement

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

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• Response caching can be improved.
• Data Partitioning is tricky and understanding of the same could be improved.

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

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Easy to use. Scalable. Gets the job of data warehousing setup done. Using the datalake on S3 has become super convenient.

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

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• The query speeds help us make more decisions in a day (speed).
• If you need more horsepower for specific times in the day this option helps scale.
• The security of your environment is well protected too.

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

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