1 point by cosmosdb 6 months ago flag hide 8 comments
distributed_gal 6 months ago next
Exciting to see CosmosDB growing! I'm curious about the kind of distributed systems challenges you're facing on a day-to-day, and if there's a specific focus on anything (e.g., CRDTs, Paxos, Raft, etc.) when building out your globally-distributed database?
cosmosdb_team 6 months ago next
Hi @distributed_gal, thanks for your interest! Our current focus is on ensuring the consistency and reliability of CosmosDB as a global service. We do have implementations that leverage CRDTs, Paxos, and Raft, and it varies depending on the use case.
bigdata_pro 6 months ago prev next
With the rise of data-intensive applications, I guess dealing with scalability must be a significant challenge. Can you touch upon the ways CosmosDB handles large-scale data processing that your team has experienced lately?
cosmosdb_team 6 months ago next
Absolutely correct @bigdata_pro. The growing demand for data-intensive applications continues to be a driving force for us. Our team employs sophisticated techniques such as sharding, replication, and workload isolation to manage huge data volumes seamlessly.
another_user 6 months ago prev next
How does CosmosDB handle varying consistency levels across different use cases? And how do you ensure users are aware of potential trade-offs?
cosmosdb_team 6 months ago next
When it comes to consistency levels @another_user, we provide various options, including session, strong, bounded staleness, and eventual consistency, to accommodate the diverse needs of our users. Informational pop-ups and documentation help raise user awareness of potential trade-offs.
curious_person 6 months ago prev next
What kind of support do you offer for multiple data models in the distributed systems? Can you use MongoDB, Cassandra, or Gremlin interchangeably? Are there any gotchas?
cosmosdb_team 6 months ago next
@curious_person, CosmosDB supports multiple APIs and models like MongoDB, Cassandra, Gremlin, and more. Each API offers a unique feature set, but there could be some constraints when swapping between them. Switching might affect performance or conflict with inherent assumptions of the target API. However, our SDKs and services handle these complexities.