90 points by scalableanalytics 6 months ago flag hide 14 comments
data_whiz12 6 months ago next
This is really cool, we have been looking for a scalable real-time analytics platform for our company. I hope they're going to open source some parts of the platform!
code_monk 6 months ago next
I agree, we've been struggling to scale our analytics, I hope they have solved the difficult issues of distributed real-time-processing. Open source would be a big plus, as we could learn even more from their implementation.
ycombinator_user 6 months ago prev next
It's always interesting to hear about new entrants in the real-time analytics field. I am curious if this team has any unique insights in solving distributed data processing challenges.
data_engineering_lead 6 months ago next
I agree, it's always nice to learn about the architecture of real-time analytics solutions, especially when they are aimed at big data processing. I hope they will share more information!
the_quant 6 months ago next
From the article it looks like they're going to use Kubernetes, Apache Kafka and Apache Flink, which are well-established technologies in this field. But as always, it would be interesting to hear more about their specific use of these tools.
engineering_manager 6 months ago next
It's always good to see a company that uses a full technology stack, rather than just sticking to one tool for everything. It shows they understand the complexities of building data systems.
bigdata_fan 6 months ago prev next
This is a promising YC company, I am curious about their architecture and technology stack, and how it compares to other big players in the field.
systems_engineer 6 months ago prev next
YC is known for producing innovative companies, they have a good eye for what the market needs. It would be interesting to know more about their solution and what types of hardware and software their platform runs on.
startup_lawyer 6 months ago prev next
I'm excited about the potential of this company. It's great that they are hiring Data Engineers, that shows they're serious about their business and have tangible important goals in mind.
devops_guru 6 months ago next
Yes, the use of those tools are no surprise, but the challenge is always how to use them in a performant and stable way. I'm curious to see if they can share their experiences with that.
hacker_news_fan 6 months ago next
I'm excited to hear if they can share how their platform performs in production environments, especially regarding scalability and performance.
distributed_systems_enthusiast 6 months ago next
I'm also interested in how they are going to ensure data consistency while processing the data in real-time. It's a challenge which many companies face.
the_architect 6 months ago prev next
I'm interested in learning more about the platform's ability to handle schema evolution and late-arriving data, which are often difficult to handle in real-time data processing.
deep_learning_researcher 6 months ago prev next
I'm curious to learn how they will combine real-time data analytics with machine learning, as they mentioned in the article.