@Peter: Thanks for that comment! Thats pretty much what I thought when
reading the phrase why not to use CS as a cache.
Thoughts to sth in front of sth else:
If your real world case requires more performance, one option is always to
add a cache in front of it. How much overall gain you have from
Cassandra is a database, not an in-memory cache. Please don't abuse
Cassandra like that when there's plenty of existing distributed cache
products designed for that purpose.
That's like asking "why can't I drag race with a school bus?"
You could and it might be fun, but that's not what it was
No, I haven’t “thought why people don’t use Cassandra as a cache”, that’s why
I’m asking this here. I’m asking the community for their POV when it might
make sense to front Cassandra with Hazelcast. This is even mentioned as a use
case in the Hazelcast documentation (“As a front layer for a
Primary-key select is pretty fast in rdbms too and they also have caches.
By "close to" you mean in latency ?
Have you thought why people don't use cassandra as a cache ? While it
doesn't have LRU, it has TTL,replicatio,sharding.
On Fri, Oct 7, 2016 at 12:00 AM, KARR, DAVID
Clearly, with “traditional” RDBMSs, you tend to put a cache “close to” the
client. However, I was under the impression that Cassandra nodes could be
positioned “close to” their clients, and Cassandra has its own cache (I
believe), so how effective would it be to put a cache in front of a
Maybe when you can have very hot keys that can give trouble to your
3(replication) cassandra nodes ?
Example: why does facebook use memcache ? They certainly have things
distributed on thousands of servers.
On Thu, Oct 6, 2016 at 11:40 PM, KARR, DAVID wrote:
> I've seen use
I've seen use cases that briefly describe using Hazelcast as a "front-end" for
Cassandra, perhaps as a cache. This seems counterintuitive to me. Can someone
describe to me when this kind of architecture might make sense?