Likelihood to Recommend We use Astra DB to improve our management systems. Storing data has become hassle-free and quite simple. When launching a Cassandra-based cloud application, Astra DB is exactly what you need. In addition to the standard training programs and videos, the extended support and training require significant additional effort to activate and cover which I feel is a bit more tedious task.
Read full review 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.
Read full review Pros It's very resilient and scalable, no downtime and no issues scaling up to meet our needs. Low latency reads and writes Cost effective - The on demand model worked out cheaper than running our own clusters Great support for any of our questions or issues Read full review Low-latency reads CQL has a familiar syntax Parity with Cassandra Practical features Read full review Cons Need better fine-grained Security options. The support team sometimes requires the escalate button pressed on tickets, to get timely responses. I will say, once the ticket is escalated, action is taken. They require better documentation on the migration of data. The three primary methods for migrating large data volumes are bulk, Cassandra Data Migrator, and ZDM (Zero Downtime Migration Utility). Over time I have become very familiar will all three of these methods; however, through working with the Services team and the support team, it seemed like we were breaking new ground. I feel if the utilities were better documented and included some examples and/or use cases from large data migrations; this process would have been easier. One lesson learned is you likely need to migrate your application servers to the same cloud provider you host Astra on; otherwise, the latency is too large for latency-sensitive applications. Read full review Better documentation for best practices (e.g., how to effectively use connection pooling) Read full review Usability It's a great product but suffers with counters. This isn't a deal breaker but lets down what is otherwise a good all round solution
Read full review 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.
Read full review Support Rating Their response time is fast, in case you do not contact them during business hours, they give a very good follow-up to your case. They also facilitate video calls if necessary for debugging.
Read full review The Scylla cloud support team is incredibly responsive and proactive.
Read full review Alternatives Considered We know Astra is built on Cassandra / Kubernetes / Stargate and can work on any cloud. The competitors we reviewed are cloud specific and create a lock in. We also have the option to run Cassandra / Stargate ourselves if we wanted to. The competitors don’t give that option
Read full review 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.
Read full review Scalability As per my experience, I never faced issues of scalability with Astra DB. We don't have at the moment a use case with millions of requests or users, so I can't give full score because of my limited use case.
Read full review Return on Investment The high availability capabilities of Astra DB can assist in reducing downtime, which is crucial for revenue-generating applications. The developer-friendly features of Astra DB, as well as support for known query languages, can help expedite development, save development time, and minimize labor costs. This can result in a shorter time to market and a higher ROI. Read full review Addresses latency requirements of our platform Read full review ScreenShots