Reducing cloud costs and improving performance for our nosql needs
September 26, 2018
Reducing cloud costs and improving performance for our nosql needs
Score 7 out of 10
Vetted Review
Verified User
Overall Satisfaction with Couchbase Data Platform
We are evaluating and PoC'ing couchbase to move our existing unstructured data into a more cost-effective and scalable nosql datastore. We're a small company so it's being used by our platform engineering team, and regarding business problems, as i mentioned it's mostly to reduce cost and allow for better analytics/insights. Our current nosql store doesn't really allow any kind of live querying without impacting production performance.
- Analytics (in the beta version) - being able to run broad queries and derive insights without affecting the operational store (ie. production systems)
- Performance - the memory caching is a big boost from the other nosql dbs we evaluated
- XDCR - super easy for cross region replication
- Needs a managed cloud offering (ie. no worrying about infrastructure, kubernetes or anything.....just provision and go, and no devops required)
- Documentation online could be more consolidated, and more of it :-)
- It's not immediately clear which data to combine into the same bucket, versus which data to put into their own buckets (ie. guidance for which "type"s go together)
- Better performance for our IoT processing pipeline
- Cheaper for same data/performance than existing nosql managed cloud db
- More devops cost due to no managed cloud offering (next best thing is our own kubernetes)
Cheaper, and more performant (but we have to host it ourselves).