[akbar501]

https://github.com/Netflix/dynomite

Dynomite for production proven, limitless scale for Redis.

Provides ability to Redis for both in-memory and on-disk workloads.

Dynamo-inspired linearly scalable, shared nothing multi-master architecture. Pairs well with Cassandra.

Supports pluggable backends (ex. RocksDB).

Been in production 2+ years. One of the larger clusters handles over 3.6 million sustained ops/sec in production, every day.

[ddorian43]

Redis is only the api/driver, not the features, right ? Meaning it's just crud and not the many features/data-types that redis provides, correct ?

[akbar501]

It's the full Redis API and protocol. See https://github.com/Netflix/dynomite/blob/dev/notes/redis.md for a list of all supported Redis features.

The benefit of Dynomite's support for the Redis API + protocol is a.) you can use any Redis client and b.) the same code can be used for standalone Redis on your laptop and on a distributed Dynomite cluster.

[manigandham]

This is neat, but why use this over just using Cassandra-based DBs?

Also you were a speaker at Data Layer right?

[akbar501]

Yes, I was a speaker at DataLayer.

There are two answers to your first question.

1. Dynomite pairs well with Cassandra. At scale, Cassandra is not a speed deamon when it comes to reads. Dynomite helps to improve Cassandra's read performance.

2. The use case for Dynomite as the primary database is for workloads that require high throughput and low latency. In other words, Dynomite delivers consistently lower latency at any scale.

[manigandham]

Better to just use scylladb which natively handles it rather than run another layer of software.