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liftbridge-io
liftbridge
Go2018–2025
liftbridge-io / liftbridge

liftbridge

Kafka-style message streaming in Go. Built on NATS. Single binary, no JVM, no ZooKeeper.

9Distinct people
9Mentions
0Explicit recommenders
2.8KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Kafka-style message streaming in Go. Built on NATS. Single binary, no JVM, no ZooKeeper.

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year9 dated mentions

Observed mentions: 2018-07-17 18:47:40 UTC to 2025-12-19 19:14:43 UTC.

012342018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 4 mentions; 1 submissions, 3 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20212022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2025

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC110
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC413
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC202
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC000
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC101
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC000
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC000
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC110

What Hacker News says

9 sources
Don't forget the NATS-based solutions - NATS Core[0] as an ephemeral message exchange (personally what I would use RabbitMQ for) - NATS Jeststream[1] as a persistent, queue-focused kafka alternative - Liftbridge as an alternate implementation of a persistent kafka alternative[2] Liftbridge has a decent comparison page[3] but unfortunately it's still missing NATS JetStream[4]. I want to see more members of the community use and write about the NATS ecosystem -- I rarely hear complaints. [0]: https://docs.nats.io/nats-concepts/core-nats [1]: https://docs.nats.io/nats-concepts/jetstream [2]: https://liftbridge.io/ [3]: https://liftbridge.io/docs/feature-comparison.html [4]: https://github.com/liftbridge-io/liftbridge/issues/104
In What I wish someone would have told me about using RabbitMQ (2020)
Adding to what the sibling comment say, be careful about buying into RabbitMQ's clustering; having run it for years, I found it to be extremely brittle. We often lost entire queues because a small network blip caused RabbitMQ to think there was a network partition, and when the other nodes became visible, RabbitMQ has no reliable way to restore its state to what it was. It has a bunch of hacks to mitigate this, but they don't solve the core problem; the only way to run mirrored queues ("classic mirrored queues", as they're not called) reliably is to disable automatic recovery, and then you have to manually repair RabbitMQ every time this happens. If you care about integrity, you can use the new quorum queues instead, which use a Raft-based consensus system, but they lack a lot of the features of the "classic" queues. No message priorities
Read the rest
, for example. I've never used federation or Shovel, which are different features with other pros/cons. If you're willing to lose the occasional message under very high load, NATS [3] is absolutely fantastic, and extremely fast and easy to cluster. Alternatively, NATS Streaming [4] and Liftbridge [5] are two message brokers built on top of NATS that implement reliable delivery. I've not used them, but heard good things. [1] https://www.rabbitmq.com/partitions.html [2] https://www.rabbitmq.com/quorum-queues.html [3] https://nats.io/ [4] https://docs.nats.io/nats-streaming-concepts/intro [5] https://github.com/liftbridge-io/liftbridge
In An introduction to RabbitMQ

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