Likelihood to Recommend I would start with the scenarios which are well-suited. I can see Antra DB excels at the scalability and global distribution part as with the company's continuously growing size, we need our data to be growing at the same speed, which ASTRA DB largely supports, and if we talk about the less appropriate scenario, I would say when we need to incorporate external tools for the better monitor, it sorts of fails purpose.
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 Graph, search, analytics, administration, developer tooling, and monitoring are all incorporated into a single platform by Astra DB. Mongo Db is a self-managed infrastructure. Astra DB has Wide column store and Mongo DB has Document store. The best thing is that Astra DB operates on Java while Mongo DB operates on C++
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 We are well aware of the Cassandra architecture and familiar with the open source tooling that Datastax provides the industry (K8sSandra / Stargate) to scale Cassandra on Kubernetes.
Having prior knowledge of Cassandra / Kubernetes means we know that under the hood Astra is built on infinitely scalable technologies. We trust that the foundations that Astra is built on will scale so we know Astra will scale.
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