Rockset vs. Scylla

1. Usage based billing - helpful in creating query lambdas and workflow around them. 2. Fast data refresh and scheduled running of queries is required. 3. Wherever real-time data is in play in terms of visibility.

Incentivized

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.

• Fast ingest and real-time indexing
• Complex SQL queries run really fast
• Lower cost in terms of deployment.

Incentivized

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

• User interface
• AI in queries, auto-generated queries
• Graphing tools

Incentivized

• 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.

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.

• Didn't need to invest in an external billing software.
• Major customer feature ask was fulfilled - realtime usage overview

Incentivized

• Addresses latency requirements of our platform