We just moved from Elastic to Quickwit. Sigh. What other open source, object storage backed logging databases do people recommend?
Datadog acquires Quickwit
41–50 of 119 posts
Re: Datadog acquires Quickwit
#42Re: Datadog acquires Quickwit
#43Re: Datadog acquires Quickwit
#44Co-founder of Quickwit here. Seeing our acquisition by Datadog on the HN front page feels like a truly full-circle moment. HN has been interwoven with Quickwit's journey from the very beginning. Looking back, it's striking to see how our progress is literally chronicled in our HN front-page posts: - Searching the web for under $1000/month [0] - A Rust optimization story [1] - Decentralized cluster membership in Rust…
As someone who never managed to built a fond relationship with Apache Lucene based products (Solf, Elastic). I was extremely happy to see Tantivy in open source.
BM25 scoring, proper asian language support, speed, memory foot prints, etc - amazing job! Thank you so much!
https://github.com/quickwit-oss/tantivy
IMHO Datadog made a smart move!
If Tantivy itself just stays permanently under Apache2 licence and find a sustainable path to co exist with the rest of open source community - it's all good guys. You are more than deserve a commercial success.
Re: Datadog acquires Quickwit
#45I hate Datadog. We use their name as an epithet at our company for how not to sell/market. Their selling tactics circa 2015-2018 completely burned us out. Endless calls and emails. The icing on the cake was an AWS reInvent presentation on Lambda right when lambda was first announced. We were pumped to get in on lambda early. Got the whole crew to attend the talk. Turned out to be a rudimentary copy of a Barr "lambda…
As my ex manager once told - there is no such thing as nice people in P&L statement. Someone has to pay
It's very easy to be anxious and see the path to the dark side here.
However one of possible outcomes - there will be a valid open source competitor to Grafana ecosystems, and this along secure the rest of scene from relicensing. There is a chance it will be all win-win with clear sustainable path and no money and power struggles for founders.
I want to stay on the positive here. Time will show.
Re: Datadog acquires Quickwit
#46Do any engineers actually like DD? Execs/managers seem to love DD and get upsold all the time on it and ask engineers to implement some of their half-baked features. It seems like its good for alerts and dashboards for infrastructure teams. But as an engineer its a pain and using it for log analysis is much more annoying than just tracking down the actual relevant logs and grepping.
Showing ALL the logs isn’t cool. Showing SOME logs at random is cool.
Re: Datadog acquires Quickwit
#47Do any engineers actually like DD? Execs/managers seem to love DD and get upsold all the time on it and ask engineers to implement some of their half-baked features. It seems like its good for alerts and dashboards for infrastructure teams. But as an engineer its a pain and using it for log analysis is much more annoying than just tracking down the actual relevant logs and grepping.
Re: Datadog acquires Quickwit
#48Curious what Datadog is going to build with this tech. Believe this company pitching themselves as OSS competitor to Datadog a few months ago.
My guess is you will be billed per gig or something but not nearly the cost of shipping your logs to DD
Re: Datadog acquires Quickwit
#49Co-founder of Quickwit here. Seeing our acquisition by Datadog on the HN front page feels like a truly full-circle moment. HN has been interwoven with Quickwit's journey from the very beginning. Looking back, it's striking to see how our progress is literally chronicled in our HN front-page posts: - Searching the web for under $1000/month [0] - A Rust optimization story [1] - Decentralized cluster membership in Rust…
Re: Datadog acquires Quickwit
#50Do any engineers actually like DD? Execs/managers seem to love DD and get upsold all the time on it and ask engineers to implement some of their half-baked features. It seems like its good for alerts and dashboards for infrastructure teams. But as an engineer its a pain and using it for log analysis is much more annoying than just tracking down the actual relevant logs and grepping.
If you're used to traditional Enterprise pricing it's fairly priced for the value you get but anybody coming from self-funded or VC it's very expensive. If you're already using Splunk you can afford it.
One of its best features is it's consumption priced not by seats so easy to open up for all of eng including product/QA teams and not just devs to use which is great for breaking down barriers.
It's a bit like aws in that it's a platform - use of one product tends to encourage using more from their suite.