Live data from Hacker News

Datadog acquires Quickwit

quickwit.io

61–70 of 119 posts

Re: Datadog acquires Quickwit

#61

Do 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.

Easily the best product in its category. The value is in APM/tracing - if you're just using it for logs you're missing a lot. 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…

Second this.

I used to log large apps using kibana and elastic search. Also using the clusterfuck that are all AWS tries at this (cloud watch, log insights.amd whatnot).

Nothing compares to what DD give you in observability.

Having said that, DD should only be an AWS feature. They should buy them for a couple of billions and integrate it as a service for all of AWS infrastructure.

Re: Datadog acquires Quickwit

#62
post #30

I 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…

I have had the opposite experience. Sales has been really respectful of our time.

Re: Datadog acquires Quickwit

#63
post #51
post #33

Earlier quoted context omitted.

What does any of that have to do with the actual product?

Different person with similar stance: Those specific examples? Whatever. We did get absolutely burnt by other manifestations of the DataDog approach: The billing model was (is?) very much not good, transparent or predictable and staying on top of costs was close to a nightmare. The way surprise costs and contract changes (triggered by them) was handled did not feel honest. The product itself is great but from my pers…

qw is open source so you can continue to use the foss-licensed software as it is

Re: Datadog acquires Quickwit

#64

Earlier quoted context omitted.

We switched from Datadog to Grafana (do not recommend unless they got you over a barrel on pricing and you need to escape) and one nice thing Grafana gives you is the ability to self-host for local development so you can even run integration tests against your observability... an edge case need but if you need it you're glad it has it.

I work at Grafana. Can you say more about what specifically you don’t recommend?

DD was just easier to use for everybody, has lots of useful baked-in things we liked to use (apdex scores), and was intuitive enough that non-devs could design their own dashboards. We also found it way easier to collect metrics, traces, and other things.

FWIW none of these things are insurmountable and I suspect you'll eventually reach parity. Datadog lost our business for two reasons 1) Lack of billing transparency and 2) an incompetent account rep who managed to piss off our finance department while also embarrassing our CTO. And to be clear, while we aren't a "whale" our spend was over $6M/yr with Datadog - and the CTO along with the rest of eng leadership were all huge DD fanboys and yet they still managed to burn that bridge to the point where we'll never go back.

Re: Datadog acquires Quickwit

#65

Earlier quoted context omitted.

I think you forgot to add the links Anyway tantivy is great! I love pg_search https://www.paradedb.com/blog/introducing_search (which appears to be built by another company, but on top of tantivy, which is a great feature of open source) Now, I am worried about development being stalled after this acquisition. How does further developing tantivy in the open helps Datadog's bottom line?

I love quickwit, unfortunately datadog has a history of murdering open source (e.g. vector.io halting development and never fixing gross bugs)

Yeah, a Vector dev that is now at Datadog told me that Vector is essentially deprecated.

Re: Datadog acquires Quickwit

#66
post #30

I 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…

> Get us all drunk and happy

Damn I never get sales pitches like that.

Re: Datadog acquires Quickwit

#67
post #29

We just moved from Elastic to Quickwit. Sigh. What other open source, object storage backed logging databases do people recommend?

I suggest giving SigNoz a try. Built on top of Clickhouse, it’s fast and scalable

https://github.com/SigNoz/signoz

PS: I am maintainer at SigNoz

Re: Datadog acquires Quickwit

#68
post #34

Earlier quoted context omitted.

The architecture of Husky seems fairly similar to quickwit. https://www.datadoghq.com/blog/engineering/introducing-husky... https://quickwit.io/docs/main-branch/overview/architecture

It’s an ourobouros of influences: the Husky creators left DD to make Warpstream, Warpstream inspired Quickwit, and now Quickwit is joining DD.

and Confluent acquired WarpStream

Re: Datadog acquires Quickwit

#69
post #61

Earlier quoted context omitted.

Easily the best product in its category. The value is in APM/tracing - if you're just using it for logs you're missing a lot. 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…

Second this. I used to log large apps using kibana and elastic search. Also using the clusterfuck that are all AWS tries at this (cloud watch, log insights.amd whatnot). Nothing compares to what DD give you in observability. Having said that, DD should only be an AWS feature. They should buy them for a couple of billions and integrate it as a service for all of AWS infrastructure.

> They should buy them for a couple of billions

DD has a market cap of $48B

Re: Datadog acquires Quickwit

#70

Earlier quoted context omitted.

We switched from Datadog to Grafana (do not recommend unless they got you over a barrel on pricing and you need to escape) and one nice thing Grafana gives you is the ability to self-host for local development so you can even run integration tests against your observability... an edge case need but if you need it you're glad it has it.

I work at Grafana. Can you say more about what specifically you don’t recommend?

I’ve historically been a pretty big fan of Grafana, I’ve advocated for the cloud solution at more than one company.

But it seems like business development has utterly hijacked the experience.

The flow you want out of the box is Prometheus, Loki, and Tempo with one button that drops you the config for grafana-agent (now alloy which seems good technically but brings a whole new config language with some truly insane discoverability problems) that makes graphs on screens, you build up from there.

But these days everything is some complicated co-sell, up-sell, click farming hedge maze through 90 kinds of cloud vendor rip-off half baked thing.

Graphs, logs, traces out of the box. Put all the works with Snowflake shit behind an icon. A small one.

Post reply on HN