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ScyllaDB Closes $16M in Series B Funding

scylladb.com

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Re: ScyllaDB Closes $16M in Series B Funding

#41

Post by faizshah »

agentgt wrote: post #39

You know if Postgres can just get some better distributed/elastic support it could do some damage. I switched from Cassandra to citus + pipelinedb (and I'm JVM guy). Postgres is such an awesome platform. I'm planning on looking into some logical decoding.

Do you mean you use pipelinedb and citus or do you mean you use citus to cluster pipelinedb?

I never thought to try mixing the two since pipelinedb has their own commercial product for clustering. You should write a blog post on that if you were able to cluster pipelinedb with citus.

Re: ScyllaDB Closes $16M in Series B Funding

#42

Post by agentgt »

manigandham wrote: post #40
agentgt wrote: post #39

You know if Postgres can just get some better distributed/elastic support it could do some damage. I switched from Cassandra to citus + pipelinedb (and I'm JVM guy). Postgres is such an awesome platform. I'm planning on looking into some logical decoding.

Postgres is a completely different type of database, there's not much comparison with cassandra/scylla at all. It also has a way to go with just scale-up performance before it even gets to scale-out.

I wanted a db for realtime analytics.

I agree on scale-out but scale-up performance I will say Cassandra is not even close to cost to performance ratio of Postgres w/ extensions for a real time analytics.

I have legitimate 6months experience that I wasted on Driud/Cassandra and could not match Postgres in terms of performance.

I don't want to hear CAP this and that when I can do all sorts of stream processing a priori. Besides real SQL is easy to understand and hack with then many proprietary query languages.

I only tell people so they don't was time like I did.

Re: ScyllaDB Closes $16M in Series B Funding

#43

Post by agentgt »

faizshah wrote: post #41
agentgt wrote: post #39

You know if Postgres can just get some better distributed/elastic support it could do some damage. I switched from Cassandra to citus + pipelinedb (and I'm JVM guy). Postgres is such an awesome platform. I'm planning on looking into some logical decoding.

Do you mean you use pipelinedb and citus or do you mean you use citus to cluster pipelinedb? I never thought to try mixing the two since pipelinedb has their own commercial product for clustering. You should write a blog post on that if you were able to cluster pipelinedb with citus.

I mix the two. Citus for offline warehousing and pipelinedb for realtime. I'm very pleased with the results.

I mix the two by using a message bus (Kafka + RabbitMQ)

I spent a lot of time with Cassandra. It is probably great tech I just don't have petabyte data yet. And I know all the stats I want a prior.

Re: ScyllaDB Closes $16M in Series B Funding

#46

Post by manigandham »

agentgt wrote: post #42
manigandham wrote: post #40

Earlier quoted context omitted.

Postgres is a completely different type of database, there's not much comparison with cassandra/scylla at all. It also has a way to go with just scale-up performance before it even gets to scale-out.

I wanted a db for realtime analytics. I agree on scale-out but scale-up performance I will say Cassandra is not even close to cost to performance ratio of Postgres w/ extensions for a real time analytics. I have legitimate 6months experience that I wasted on Driud/Cassandra and could not match Postgres in terms of performance. I don't want to hear CAP this and that when I can do all sorts of stream processing a prior…

> realtime analytics

This doesn't mean anything.

The only thing that matters is what (and how much) data you have and what queries you want to run. If a relational database can do that for you then cassandra/scylla isn't a good choice.

Re: ScyllaDB Closes $16M in Series B Funding

#47

Post by ericfrenkiel »

agentgt wrote: post #42
manigandham wrote: post #40

Earlier quoted context omitted.

Postgres is a completely different type of database, there's not much comparison with cassandra/scylla at all. It also has a way to go with just scale-up performance before it even gets to scale-out.

I wanted a db for realtime analytics. I agree on scale-out but scale-up performance I will say Cassandra is not even close to cost to performance ratio of Postgres w/ extensions for a real time analytics. I have legitimate 6months experience that I wasted on Driud/Cassandra and could not match Postgres in terms of performance. I don't want to hear CAP this and that when I can do all sorts of stream processing a prior…

I'm one of the founders at MemSQL, which is designed for real-time analytics. Take it for a spin and see if it works for you.

Re: ScyllaDB Closes $16M in Series B Funding

#48

Post by agentgt »

manigandham wrote: post #46
agentgt wrote: post #42

Earlier quoted context omitted.

I wanted a db for realtime analytics. I agree on scale-out but scale-up performance I will say Cassandra is not even close to cost to performance ratio of Postgres w/ extensions for a real time analytics. I have legitimate 6months experience that I wasted on Driud/Cassandra and could not match Postgres in terms of performance. I don't want to hear CAP this and that when I can do all sorts of stream processing a prior…

> realtime analytics This doesn't mean anything. The only thing that matters is what (and how much) data you have and what queries you want to run. If a relational database can do that for you then cassandra/scylla isn't a good choice.

> This doesn't mean anything.

And neither does your practically trolling comment. You could say that about anything.

> The only thing that matters is what (and how much) data you have and what queries you want to run. If a relational database can do that for you then cassandra/scylla isn't a good choice.

Theory aside what matters is what I can get to work... so prior knowledge is a big deal.

All I said is it would be interesting if Postgres had a better story for elasticity and that it might be a good fit for many. I think many are in my camp and a relational db would fit but are all to often pushed towards to NoSQL.

Again I don't want to hear about CAP this and that. You can totally take either system and make it have many of the properties that our touted for each one. People take relational databases and turn them into schemaless or columnar stores all the time with eventually consistency (often with mysql). Particularly with Postgres as it is a platform (it has a powerful extension model).

Regardless Cassandra is touted for analytics. The marketing really pushes it for that. Eventually consistency and columnar store is a good fit for real time analytics. Lots of data points, lots of aggregation, get to play with various queries in realtime, elasticity... etc.

We will probably hit a wall with Postgres.

All and all I think Cassandra is pretty good for what it does. Other than Redis, and maybe RethinkDB I think its my third NoSQL favorite (and yes I know each of those guys has a sweet spot for what they are good at requirement wise).

Re: ScyllaDB Closes $16M in Series B Funding

#49

Post by agentgt »

ericfrenkiel wrote: post #47
agentgt wrote: post #42

Earlier quoted context omitted.

I wanted a db for realtime analytics. I agree on scale-out but scale-up performance I will say Cassandra is not even close to cost to performance ratio of Postgres w/ extensions for a real time analytics. I have legitimate 6months experience that I wasted on Driud/Cassandra and could not match Postgres in terms of performance. I don't want to hear CAP this and that when I can do all sorts of stream processing a prior…

I'm one of the founders at MemSQL, which is designed for real-time analytics. Take it for a spin and see if it works for you.

Thanks for the recommendation! I will check it out for sure!

Re: ScyllaDB Closes $16M in Series B Funding

#50

Post by jazoom »

mrits wrote: post #45

From their front page: "allow for perfect scale-up linear performance of up to 1,000,000 read/write operations per node." What happens after 1M operations? The nodes catch on fire?

I know nothing about database architecture but I'm gonna assume that the individual operations take longer until you distribute the load across more nodes.
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