← Back to Topics

Stream Processing Frameworks

Discussions compare stream processing tools like Apache Flink, Spark Streaming, Google Dataflow, and Apache Beam, debating their features, performance against batch processing, alternatives, and core concepts.

➡️ Stable 0.6x Databases
2,918
Comments
19
Years Active
5
Top Authors
#1945
Topic ID

Activity Over Time

2008
3
2009
14
2010
29
2011
55
2012
55
2013
77
2014
134
2015
237
2016
280
2017
186
2018
217
2019
172
2020
286
2021
261
2022
151
2023
251
2024
279
2025
222
2026
9

Top Contributors

scott_s (27) nathanmarz (20) spooneybarger (16) pixelmonkey (15) asavinov (14)

Keywords

e.g OLTP rs.com BEAM BI MVP JVM neilconway.org AI SQL stream processing streaming spark data apache batch storm streams data processing

Sample Comments

trwoway • Jun 26, 2017 • View on HN

Strange that Apache Flink and Google Dataflow don't figure in the Stream Processing list

a_imho • Sep 2, 2019 • View on HN

Isn't this basically batch processing vs streaming?

oli_kitty • Feb 10, 2023 • View on HN

an introduction and one-pager solution for those who looking for alternatives to JVM ecosystem for data streaming

Aegeaner • Jun 27, 2017 • View on HN

Why is there no Flink in Streaming processing framework?

je42 • Dec 10, 2016 • View on HN

they are doing stream processing inside the same process.

juanmirocks • Dec 27, 2017 • View on HN

How does this stack against flink or spark or is it trying to solve something else ?

Wonnk13 • Jan 21, 2016 • View on HN

what are the best resources to learn about streaming, dataflow, etc? Not necessarily the Google implementations, but the core concepts backing them.

captaintobs • Apr 6, 2023 • View on HN

How does this compare to Flink and Spark? Is it performant for batch processing as well?

hadrianpaulo • Aug 10, 2021 • View on HN

Interesting but how is this as an alternative to Apache Flink's stream processing model?

oulipo • Jul 19, 2025 • View on HN

I was going to go with Redpanda+Flink, would you suggest otherwise? (and why)