buremba

23 ms·

271.
by buremba 7y ago
That's what we do at Rakam. If you have less than ~10M events per month, Postgresql works smoothly if you use features such as partitioned tables, parallel queries, and BRIN indexes. The only limitation is that since it's not hori
272.
by buremba 7y ago
I see your point but I think that data analysts are usually familiar with Python, not JS. The UI is cool and intuitive, it looks like you copied most of the concepts except Jinja from DBT. That's perfectly OK though, let's see whe
273.
by buremba 7y ago
What’s the rationale behind using JS instead of Python/Jinja? Any insights on that?
274.
by buremba 7y ago
Congrats on your launch! How is this different from DBT?
275.
by buremba 7y ago
That's actually what we do at Rakam. Postgresql fits in many analytics workloads with partitioned tables, parallel queries, and BRIN indexes. The only limitation is that since it's not horizontally scalable, your data must fit in
276.
by buremba 7y ago
I have an open-source project that collects the customer events via SDKs and stores it in a data warehouse. It's a distributed system, the mobile and web SDKs batch the user events on their devices and push it to our API in JSON format
277.
by buremba 7y ago
It looks like they're mostly designed for desktop. It would be a good idea to make it compatible for cloud IMO. Could be a good startup idea, anyone interested might shoot me an email. :)
278.
by buremba 7y ago
Is there a product that tracks all the data infrastructure of the companies including the log and analytics systems and detects if there's any sensitive data in it?
279.
by buremba 7y ago
That's correct but we're not an ETL engine. We use DBT for the data transformation and you basically define what the measures/dimensions/filters are in this template so that your non-technical people run ad-hoc queries w
280.
by buremba 7y ago
Well, you can always use open-source solutions in order to collect your customer event data into your data-warehouse and run your queries on your own data.
281.
by buremba 7y ago
Looking forward to starting working with you!
282.
by buremba 7y ago
The pricing starts from $3k for 20 users if you subscribe to one of their annual plans.
283.
by buremba 7y ago
Do you have the Meltano models in a repository? It looks similar to LookML so the use-case is similar. I would love to hear more and see some of your example Meltano models, could you please send an email to emre [at] rakam.io?
284.
by buremba 7y ago
We actually developed this feature (we call it recipe) 2 weeks ago and we're working on the documentation at the moment. Since we focus on product data, the first recipe is written for Segment Warehouse. When users connect to their Seg
285.
by buremba 7y ago
Hey all, as a potential competitor of Looker, I'm not sure how I should feel about this news. :) Here are some of the facts: 1. When Google acquired Alooma, they slowed down the development and dropped the support for other destination
286.
by buremba 7y ago
Yes, maybe they can't place an ad on your app but they do track all your user event data which means that they can target them somewhere else. All the iOS unique identifier, location, and user attribution data are collected directly in
287.
by buremba 7y ago
That may be the case but if you look at the commit history of cstore_fdw on Github, it's not that active. Also, none of the paid Citus customers were using cstore_fdw with Citusdb last year to my knowledge so that was not their focus e
288.
by buremba 7y ago
I didn't really understand how you managed to get all these extensions working together. Last time I spoke to people at Citus, CitusDB was not fully compatible with cstore_fdw and it's a bit confusing to use TimescaleDB and CitusD
289.
by buremba 7y ago
What's your data volume?
290.
by buremba 7y ago
I wonder how it differs from the managed Kafka of Confluent since they also support AWS as the backend. It sounds like the same story of Elasticsearch, MongoDB and Redis though.
291.
by buremba 7y ago
The Java/Kotlin alternative would be `the amazing library` JDBI: http://jdbi.org/
292.
by buremba 7y ago
This might be a deal-breaker not only from the developers' side but also from the business side. If the companies see that a project is well-funded, they can invest their time (maybe their money also?) more confidently. It might become
293.
by buremba 7y ago
Hey there, Could you please explain your use-case? Depending on your use-case, there are multiple solutions that fit in different use-cases. Plug & Play Solutions: Matomo: It's basically on-premise Google Analytics, it stores the d
294.
by buremba 7y ago
There are tools such as Klipfolio and Grow but you're only limited using their UI to build the reports. That's always limiting no matter how flexible their language & UI is and larger companies tend to build their own data-war
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Elon Musk's Uber Competitor: Fully Autonomous Tesla Cars Will Pay for Themselves(interestingengineering.com)
1 points by buremba 7y ago|0 comments
296.
by buremba 8y ago
We switched from Athena to Pub/Sub & BigQuery and ECS to GCP Kubernetes recently and our architecture became much more powerful & easy to maintain.
297.
by buremba 8y ago
Since you actually forked Postgresql, how is it realistic to assume that the data will be safe?
298.
by buremba 8y ago
Congrats on your launch. While I like the idea, I believe that it would take at least a couple of years to convince people trying out in a real production environment. This is such a competitive space and companies prefer staying in the saf
299.
by buremba 8y ago
That's great for us, thanks for sharing! :)
300.
by buremba 8y ago
What's the percentage of Segment customers who use Segment Warehouse? I believe that their Warehouse offering is a deal-breaker for data-driven startups which want to see the big picture. We're working on building a product which

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