Compare
There are several good ways to cut a log bill. This is where ours differs.
Most pages like this are written to make one product look inevitable. These are written so that a platform engineer comparing four vendors in an afternoon can finish faster, which sometimes means finishing somewhere else. Every claim about another product is a quote from that vendor's own documentation with a link to it, and every page has a section saying plainly when they are the better choice.
Auditty vs Grepr
Grepr is a hop in your log path. Auditty is not in the path at all.
Grepr and Auditty make the same promise: stop shipping repetitive logs to your vendor, keep every original line, and get one back when you need it. If you have been told the two are interchangeable, the promise is why.
Read the comparisonAuditty vs Cribl
Cribl reduces what you tell it to. Auditty decides, and you override it.
Cribl Stream is the default answer in this category and it is a good product. It moves any source to any destination, translates formats, redacts, routes and reduces, and it is genuinely the right tool for a large heterogeneous estate.
Read the comparisonAuditty vs Edge Delta
Edge Delta wants to be your observability platform. Auditty wants to lower its bill.
Edge Delta is the closest thing to Auditty architecturally. Both process logs on the node before they leave, both detect patterns automatically, and both can archive the raw stream.
Read the comparisonAuditty vs Datadog’s own log cost controls
Exclusion filters move the indexing line. They do not move the ingestion line.
This is the one comparison where the answer is frequently "you already have what you need". Datadog’s cost controls are better than the competitive folklore about them, and if your waste is concentrated in a few known patterns you should go and use them right now, for free, before talking to anyone.
Read the comparisonMethod
How these are written.
Three rules, because a comparison page is the easiest page on a site to quietly make dishonest.
Their words, with the link
Every factual claim about another product is a verbatim quote from that vendor’s own documentation, shown in full with a link to the page. Not a summary, not a competitor’s characterisation of them, and never a number we rounded in our favour.
Where they win, in their own section
Each page names the situations in which the other product is the better buy. Not weaknesses dressed as strengths. If we could not write that section honestly, the page would not be worth publishing.
Dated, because products move
Everything here was read on 3 September 2026. Two of these products changed materially in the last year in ways that made the usual criticisms of them wrong, so the date is on every page and the pages get re-read.
Someone else's numbers
What a platform team measured.
The figures on these pages are ours, which is worth what any vendor's figures are worth. AppsFlyer's platform team ran their own evaluation, replayed a peak hour of production traffic through Auditty in a segregated account before deploying it, and published the result themselves.
- 66%
- average suppression across their top log emitters, in evaluation
- 50%
- sustained reduction across their Kafka infrastructure, in production
- 1,000+
- servers running the agent, across ~50 Kafka clusters
Daniel Rogatchevsky · AppsFlyer Engineering · November 2025
Still not sure which of these you need?
Send us a sample of your logs. If the answer is that you should go and turn on an exclusion filter and talk to nobody, we will tell you that.