Logz.io Pricing in 2026: Plans, Costs, and Alternatives

How much does Logz.io cost, and which pricing option should you choose?

If you are comparing observability tools, you have probably come across Logz.io.

It brings logs, metrics, traces, and AI agents into one platform built on open source tools.

Logz.io publishes its pricing, so you can see the rates before contacting sales. You can pay based on usage or choose a subscription, and the cost is different for each.

In this guide, we will explain both pricing options and help you understand what Logz.io could cost for your setup in 2026.

Let’s get started.

Logz.io Pricing at a Glance

If you are short on time, here is the structure before the detail.

Note: these are the rates for the AWS US East region. Logz.io charges differently in other regions and with other cloud providers.

The most important thing to know is that you pay for the data you send, not for the people using it. Every plan comes with unlimited users, so the size of your team never changes your bill.

Three of the four products cost the same either way. Logs, metrics, and AI agents carry the same rate whichever model you choose, so the choice between them is about how you commit rather than what you pay per unit.

Distributed Tracing is the exception. Consumption pricing charges $0.92 per GB while a subscription charges $0.16 per million spans, so the model you pick changes what tracing costs you.

Retention is priced separately from the data itself. Log Management includes 7 days, and you pay per extra day depending on how quickly you need to search that data.

There is also a free trial. Logz.io gives you 14 days with no credit card needed, and few platforms at this level do that.

What is Logz.io?

Logz.io is a cloud observability platform. It collects your logs, metrics, and traces, and gives you one place to search them and work out why something broke.

It is built on open source tools rather than a closed system of its own. The log side uses OpenSearch, metrics use Prometheus, and tracing uses OpenTelemetry, so your data is not locked into a format only Logz.io can read.

The platform is sold as four products. Log Management handles logs and search, Infrastructure Monitoring handles metrics, Distributed Tracing follows requests across services, and Agentic Observability adds AI agents that investigate problems for you.

Cost control is where it stands out. The Data Optimization Hub finds data you are paying for but never look at, and Logz.io reports that customers remove about 32 percent of their data and cost with it.

The thing to keep in mind is the pricing unit. Your bill follows how much data you send and how long you keep it, so two teams the same size can pay very different amounts.

How Logz.io Pricing Works

Logz.io pricing comes down to three things: which products you use, how much data you send, and how long you keep it.

The product decides your unit. Logs and consumption-based tracing are priced per GB, metrics are priced per thousand time series, subscription tracing is priced per million spans, and AI agents are priced per million tokens.

Your volume decides the bill. There is no user charge and no host charge, so the only thing that moves your cost is how much data you send.

Retention decides the rest. Logs come with 7 days included, and you choose how much longer to keep them and in which storage tier.

Consumption or Subscription

Logz.io gives you two ways to buy, and it helps to know the difference before you look at the rates.

With consumption pricing, you commit to one budget and spend it across whichever products you need. Unused capacity rolls over to the next billing cycle, so a quiet month is not money lost.

With a subscription, you commit to a set volume per product upfront. It suits teams with steady, predictable data, and it is the only model where tracing is priced per span rather than per GB.

You can move budget between products on a subscription. Once per calendar month, with seven days notice to your account manager, you can shift capacity between Log Management, Tracing, Infrastructure Monitoring, and Cloud SIEM at no change to your total price.

Logz.io Pricing by Product

Each product has its own rate and its own unit. Here they are, one at a time, with the published figures from the Logz.io pricing page.

Logz.io Log Management Pricing

Log Management is the main product, and it costs $0.92 per GB of data you send in each day. That rate includes 7 days of retention.

Note: retention options of 3, 14, and 30 days are also available on a subscription, and each changes the price.

The rate covers sending and searching your logs. Unlimited users and unlimited daily volume mean you are never blocked from sending data, you simply pay for what arrives.

Most teams keep logs between 3 and 90 days. Logz.io says that is the normal range across its customers, so 7 days is a starting point rather than a ceiling.

Logz.io Retention Pricing

Retention is the line people forget to add up. Keeping logs longer than 7 days costs extra, and the rate changes with the storage tier you pick.

Note: these rates are per GB per day, on top of the $0.92 base rate.

The gap between the tiers is large. Cold storage costs a thirtieth of hot storage, so moving compliance logs and old data down a tier is the easiest way to save money here.

Here is what that looks like in practice. Adding 30 days of hot retention costs about $0.90 per GB a day on top of the base rate, while the same 30 days in cold storage costs about $0.03.

Logz.io Infrastructure Monitoring Pricing

Infrastructure Monitoring costs $0.40 per 1,000 time series metrics a day. Retention is fixed at 18 months, far longer than most tools include.

Note: a time series is one measurement tracked over time. CPU and memory on one machine is two time series, and the same two on five machines is ten.

Check what the unit means before you estimate. Your cost follows the number of unique measurements you track, not the volume of data those measurements produce.

Custom metrics cost the same as system metrics. There is no extra charge for metrics you define yourself, and not every tool in this category works that way.

Logz.io Distributed Tracing Pricing

Tracing is the one product where the two pricing models differ, so check which one your quote uses.

Note: a span is one step in a request. A single user request passing through several services creates several spans.

Look at the subscription rate if you trace heavily. Paying per million spans rather than per GB usually works out cheaper for teams running deep traces across many services.

Sampling is how you keep this cost down. The Tracing Sampling Wizard sets rules in OpenTelemetry so you keep the traces that matter and drop the rest before they reach Logz.io.

Logz.io Agentic Observability Pricing

This is the AI side of the platform, and it costs $10 per million tokens or per AI agent run.

A token is a piece of text the AI processes, and 1,000 tokens is roughly 750 words. The count includes both the question you send and the answer that comes back.

You are also charged each time an AI agent runs. That covers agents set off automatically by an alert as well as ones you start yourself through the API.

Logz.io notes that agent pricing can vary by the specific agent and how you use it, so this is the one rate to confirm before you rely on it.

What Logz.io Costs at Different Sizes

The rate is only the start. Your volume, your retention, and your product mix all feed the total. The figures below are estimates, so your own numbers will vary.

Note: these figures apply the published daily rates across a 30 day month, cover logs and metrics only, and use the included 7 day retention. Tracing, AI agents, extra retention, and monthly billing are all billed on top.

The small-team estimate covers 5 GB of logs a day and 5,000 time series. That works out near $138 for logs and $60 for metrics, so roughly $200 a month all in.

The growing-team estimate covers 50 GB of logs a day and 20,000 time series, landing near $1,620 a month. At this size, cutting unused data starts to save you a noticeable amount.

The large-team estimate covers 200 GB of logs a day and 100,000 time series at around $6,720 a month. Logz.io offers volume discounts at this level, so the published rate is a starting point for the conversation.

What Increases Your Logz.io Costs

Five things raise a Logz.io bill above the published rates.

Data volume: Logs and consumption-based tracing are charged per GB, so every new service and every busy day adds to the total. This is the main thing that moves your bill.

Retention beyond 7 days: Hot storage costs $0.03 per extra day against $0.001 for cold, so keeping everything in the fastest tier costs thirty times more than it needs to.

Going over your plan: Sending more data than your subscription covers is charged at On Demand pricing, which is 1.4 times your normal rate for the excess.

Paying monthly: Monthly billing costs 1.2 times the annual price, so choosing flexibility over a yearly commitment adds twenty percent.

Your region: The published rates apply to AWS US East. Hosting your data in another region or with another cloud provider changes the price.

In the end, your Logz.io bill comes down to how much data you send, how long you keep it, and how closely your commitment matches what you actually use. It works best for teams that trim unused data early and check their retention settings.

Logz.io User Reviews: What Teams Actually Say

We went through Logz.io reviews on G2, TrustRadius, and other review sites to see what users actually think about the platform. The feedback is largely positive on price and setup speed, with query depth as the common complaint.

Users often praise the value against bigger tools. Reviewers say they get logs, metrics, and tracing for noticeably less than the large observability platforms charge.

The open source foundation gets praise too. Teams already using OpenSearch, Prometheus, or OpenTelemetry say they moved across without rewriting their setup or learning a new query language.

The main concern is depth at scale. Some reviewers say the search and dashboard tools feel less powerful than the market leaders once their environment gets complex.

Cost planning is the other theme. Because the bill follows data volume, reviewers say it takes attention to keep usage in line with what they committed to.

These are the patterns we found in user reviews. Your own experience can vary based on your data volume and how much you use the optimization tools.

Top 5 Logz.io Alternatives to Consider

The table below lays out five alternatives side by side, so you can match one to your need.

How Motadata Keeps Monitoring Costs Easy to Plan

Logz.io is strong on price and quick to get running, but it has two downsides for many teams. The bill moves with your data volume, and it watches your applications rather than your network. Motadata covers both.

The pricing works differently here. Instead of counting GB across four products, you get one clear quote for your whole setup. That price stays the same as you grow, so there is no volume to watch each month.

The coverage is also wider. Motadata handles network monitoring, infrastructure, flows, and device health, along with logs, metrics, and traces, so you can see what broke and why in the same place.

There is also less to manage. Motadata runs in the cloud or on your own servers, and the day-to-day running is handled for you.

The AI comes with the platform. It spots unusual patterns and links related alerts on its own, with no training needed.

Is Logz.io the Right Choice?

Logz.io is a strong fit for teams that want open source observability without running the infrastructure, and that can keep an eye on how much data they send.

Logz.io Works Best For

Logz.io is a strong fit for:

• Teams already using OpenSearch, Prometheus, or OpenTelemetry

• Companies that want published rates they can budget from

• Organizations that need to give many people access, since users are free

• Teams running on AWS, where Logz.io has the deepest integration

• Businesses that want logs, metrics, and tracing from one vendor

• Small teams that want to test the platform for 14 days before committing

• Buyers who want to cut data volume rather than pay for all of it

These are the teams Logz.io fits best. Published rates and open source foundations work well for teams that want control over cost without running the platform themselves.

Logz.io May Not Be the Right Fit For

The limits of Logz.io are mostly about scope and cost planning, not what it can do. Because the bill follows your data and the platform focuses on applications, it can fall short for some teams.

Logz.io may not be enough for:

• Teams that want one fixed price they can plan a year ahead

• Buyers with unpredictable data volumes who would face On Demand charges

• Organizations that need network and infrastructure monitoring in the same tool

• Teams that need the deepest analysis features at large scale

• Companies hosting outside AWS US East, where rates change

• Buyers who want AI included rather than charged per million tokens

• Teams that would rather not manage retention tiers to control cost

So it comes down to what you need. If open source observability at a published rate is the goal and you can keep your data volume in check, Logz.io is a strong choice. If you want one clear price for full monitoring with AI included, take a look at Motadata.

Conclusion

The main thing to know about Logz.io pricing is that the rates are public and clear, but the total is yours to control.

It is good to see the numbers up front. Logs are $0.92 per GB a day, metrics are $0.40 per 1,000 time series, tracing is $0.16 per million spans on a subscription, and AI agents are $10 per million tokens.

The catch is everything sitting around those rates. Retention past 7 days, On Demand charges at 1.4 times your rate, monthly billing at 1.2 times the annual price, and different pricing outside AWS US East all move the total.

That does not make Logz.io a bad choice. For a team already using open source tools, the price sits well below the large platforms.

Just work out your daily volume and your retention before you commit. The rate per GB is easy to read, but what you keep and for how long is what decides the bill.

FAQs