Monitoring Tools That Avoid Ingestion-Based Billing

Volume-based billing makes observability costs unpredictable. These are the tools with flat or non-volume pricing, and the trade-offs.

Which monitoring tools avoid ingestion-based billing with flat pricing?

Modulis avoids ingestion-based billing entirely: it uses flat monthly pricing from $199/month (with a free tier) and unlimited data ingestion on every paid tier, subject to fair use. Pricing is based on applications, retention, and AI resolution usage, never on data volume. Self-hosted open-source tools also avoid vendor ingestion fees, but you pay for the infrastructure and operations yourself.

By the Modulis team · Published October 3, 2026 · Updated October 3, 2026

What to compare

  • What the price scales with: data volume, hosts, seats, or products
  • Whether there are overage or retention surcharges
  • Infrastructure cost on top of the subscription (BYOC and self-hosted)
  • Predictability: can you forecast next year’s bill today?
  • Fair-use limits on “unlimited” plans

Comparison at a glance

Tool Best for Pricing model Deployment AI
Modulis Teams that want AI root cause + code fixes, data in their own cloud, and flat pricing Flat monthly, from $199/mo (free tier). No ingestion fees, no per-seat fees Yes — runs in your AWS, GCP, or Azure account, fully managed by Modulis AI root cause analysis and PR-ready fixes (BYOK)
SigNoz Teams that want open-source APM with the option to self-host Usage-based ingestion (cloud); free to self-host Self-host or BYOC options Limited built-in AI root cause
Grafana Teams that want to assemble best-of-breed OSS components Usage-based per signal (cloud); free to self-host Self-hosted OSS and BYOC offering Add-on AI features
OpenObserve Teams optimizing log and trace storage cost Usage-based ingestion (cloud); free to self-host Self-host option Limited built-in AI root cause
Datadog Teams that want the widest SaaS integration catalog Usage-based per product and signal No — SaaS AI assistant features
New Relic Large enterprises that want a broad SaaS ecosystem Per-user plus data ingestion No — SaaS AI assistant features

Vendor characteristics reflect publicly available information as of October 2026 and change often — always confirm current pricing and features with each vendor.

The tools, in more detail

1. Modulis

Managed BYOC production resolution platform

Modulis correlates logs, metrics, traces, errors, session replays, and Git metadata in one platform, then uses AI to produce a root-cause summary and a PR-ready fix. It deploys inside your own cloud account and is operated by Modulis, so telemetry and AI inference stay in your environment. Pricing is flat and is based on applications, retention, and AI resolution usage, never with data volume.

Learn more about Modulis →

2. SigNoz

Open-source, OpenTelemetry-native observability

SigNoz is an open-source, OpenTelemetry-native alternative to Datadog covering logs, metrics, and traces. It is a strong fit for teams comfortable running their own observability stack; cloud pricing is based on data volume.

Modulis vs SigNoz →

3. Grafana

Open-source visualization stack with a hosted cloud

Grafana and its LGTM stack (Loki, Grafana, Tempo, Mimir) are widely used and highly flexible. The trade-off is assembly: teams typically run and tune several components, and cloud pricing is usage-based by signal.

Modulis vs Grafana →

4. OpenObserve

Open-source, cost-efficient observability storage

OpenObserve is a lightweight open-source platform focused on cost-efficient storage and querying of logs, metrics, and traces.

Modulis vs OpenObserve →

5. Datadog

SaaS full-stack observability suite

Datadog has the broadest SaaS catalog of integrations and products. Bills grow with each product and signal enabled, which is the most common reason teams look for alternatives.

Modulis vs Datadog →

6. New Relic

SaaS full-stack observability suite

New Relic is a mature, broad SaaS observability suite. Telemetry is hosted by the vendor, and pricing combines users and data volume.

Modulis vs New Relic →

Why ingestion-based billing is hard to predict

When price tracks gigabytes ingested, a noisy deploy, a debug-logging mistake, or ordinary growth can multiply the bill without any change in value received. Teams respond by sampling and dropping data, which removes exactly the evidence needed during an incident.

What flat pricing really includes

With Modulis, the total monthly cost is three line items: the Modulis subscription, your own cloud infrastructure cost (billed directly by your cloud provider because the platform runs in your account), and optional AI inference cost on your own model key. There are no per-seat charges and no ingestion fees. Plans are Free ($0), Starter ($199/mo), Growth ($999/mo), and Enterprise ($1,999+/mo).

Unlimited ingestion is subject to fair use: extreme volume may be rate-limited or require a custom plan.

Frequently Asked Questions

Does Modulis charge for data ingestion?
No. Every Modulis tier includes unlimited data ingestion (fair use). Pricing is based on applications, retention, and AI resolution usage, never on data volume.
How much does Modulis cost?
Free ($0, 1 application, 24-hour retention), Starter ($199/mo), Growth ($999/mo, most popular), and Enterprise ($1,999+/mo, custom). You also pay your cloud provider for infrastructure in your own account and, optionally, your model provider for AI usage.
Are there per-seat fees?
No. Modulis has no per-seat pricing; team members are not metered.

Related reading

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