Redis Cloud vs. ScyllaDB

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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Scylla is well suited for high-throughput scenarios where keyed data must be read or written with consistently low latency. It's less appropriate for use cases requiring relational queries, secondary indexes, or more structured data sets.

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

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• Low-latency reads
• CQL has a familiar syntax
• Parity with Cassandra
• Practical features

• 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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• Better documentation for best practices (e.g., how to effectively use connection pooling)

Very easy-to-understand syntax--uses CQL (same as Cassandra), which has many similarities to standard SQL. There are some gotchas, however, that must be known during schema development.

The Scylla cloud support team is incredibly responsive and proactive.

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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Scylla has a quick learning curve (same as Cassandra) compared to other proprietary solutions like BigTable. It supports higher throughput and lower latency that other NoSQL databases like MongoDB, which sacrifice those features for more flexibility and unique features.

• 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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• Addresses latency requirements of our platform