DigitalOcean is the most affordable and straightforward of the hosted Kubernetes options we evaluated. All features that we require are supported without an excess of complication of extraneous features. Straightforward billing is also very important for us in comparison to the …
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.
DO Kubernetes is well-suited for: - deploying APIs - deploying workers - log collection and analysis (ie ELK stack) - deploying Helm charts and anything that can be mapped on to K8s concepts Less appropriate for anything requiring no public Internet access (ie VPC only). Less appropriate for anything requiring integration with the DO app platform via VPC, at the moment.
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.
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.
DigitalOcean is the most affordable and straightforward of the hosted Kubernetes options we evaluated. All features that we require are supported without an excess of complication of extraneous features. Straightforward billing is also very important for us in comparison to the Big Three cloud hosts, which have very complicated billing practices. DigitalOcean also provides a platform with very little vendor lock-in.
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.