d8a .tech

Analytics comparison

d8a.tech vs Plausible

Plausible is excellent when you want a clean, simple website analytics dashboard and can pay for it. d8a.tech is equally simple at the beginning, free to start, and does not make you give up warehouse-native data or richer modeling later.

Richer database schema, so teams can grow beyond simple traffic metrics.

GA4 and Matomo tracking protocol compatibility for easier adoption.

Free managed cloud tier up to 500k events per month.

Warehouse-native storage path, including your own warehouse.

TLDR

Which one should you choose?

Choose Plausible for deliberately minimal web analytics if you are comfortable with paid cloud pricing. Choose d8a.tech when you want a free tier up to 500k events per month and analytics that can grow into richer event data, backend session logic, existing GA4 or Matomo tracking, or your own data warehouse.

Jump to the feature table

Where Plausible fits

Plausible is a strong choice for privacy-friendly pageview analytics, quick setup, and a minimal dashboard. If you only need high-level traffic, sources, top pages, and lightweight goals, it keeps the product intentionally simple.

Where d8a.tech is different

d8a.tech starts from the same desire for practical analytics, but keeps the underlying data model open-ended. You can collect compatible GA4 or Matomo-style events, calculate sessions on the backend, and keep the data in infrastructure you control.

Feature comparison

The details that matter after the first dashboard

This table provides a detailed comparison highlighting specific features and differences.

Data Model And Scale

The biggest difference is how much room the underlying data gives your team to grow.

Rich clickstream schema

Event, session, traffic, device, campaign, and ecommerce data modeled for analysis rather than only dashboard summaries.

d8a.tech
Rich schema
Plausible
Simpler model

Raw event-level data

Useful when analysts need to inspect, join, export, or rebuild reports outside the product UI. Plausible reporting is aggregate-first.

d8a.tech
Yes
Plausible
No

Designed to avoid analytics migration later

A simple dashboard today should not force a full reimplementation when reporting needs mature.

d8a.tech
Yes
Plausible
No

Tracking And Protocols

d8a.tech is designed around compatibility with tracking setups many teams already have.

GA4 tracking protocol compatibility

Send GA4-style collection requests to d8a.tech instead of rebuilding the full tracking plan.

d8a.tech
Yes
Plausible
No

Matomo tracking protocol compatibility

Useful for teams migrating from Matomo or running hybrid setups.

d8a.tech
Yes
Plausible
No

Custom events

d8a.tech supports event detail and parameters. Plausible is more limited, mostly centered around event names.

d8a.tech
Yes
Plausible
Limited

Only custom event names

UTM and referrer tracking

d8a.tech
Yes
Plausible
Yes

Server-side collection path

Focused on server-side tagging and server-managed collection patterns.

d8a.tech
Yes
Plausible
No

Mostly focused on curcumventing adblockers

Storage And Ownership

The storage layer determines whether analytics data becomes a product silo or part of your data platform.

Managed cloud option

d8a.tech
Yes
Plausible
Yes

Self-hosted option

d8a.tech
Yes
Plausible
Yes

Open source

d8a.tech is MIT licensed. Plausible uses AGPL, which is a more restrictive copyleft license.

d8a.tech
MIT
Plausible
AGPL

Use your own data warehouse

Store analytics data where your reporting, governance, and retention policies already live.

d8a.tech
Yes
Plausible
No

BigQuery destination

d8a.tech
Yes
Plausible
No

ClickHouse destination

d8a.tech
Yes
Plausible
No

Plausible uses managed ClickHouse internally, but there is no direct external ClickHouse destination outside the analytics UI.

CSV/Parquet export path

d8a.tech
Yes
Plausible
No

BI tool compatibility

d8a.tech
Yes
Plausible
Limited

Primarily Google Data Studio style integrations working on aggregated data.

Analytics Features

Feature depth for teams that need both fast reporting and deeper analysis workflows.

Dashboard included

d8a.tech
Yes
Plausible
Yes

Real-time analytics

d8a.tech
Coming soon
Plausible
Yes

Conversion goals

d8a.tech
Coming soon
Plausible
Yes

Date range comparison

d8a.tech
Yes
Plausible
No

Filtering

d8a.tech
Yes
Plausible
Limited

Funnels

d8a.tech
Coming soon
Plausible
No

Public dashboards

d8a.tech
Coming soon
Plausible
Yes

Team access

d8a.tech
Coming soon
Plausible
Yes

API access

d8a.tech
No
Plausible
Yes

Readiness for Agentic AI

d8a.tech
Yes
Plausible
Limited

Ask AI (built-in analytics agent)

d8a.tech
Coming soon
Plausible
No

Privacy And Compliance

EU hosting

d8a.tech
Yes
Plausible
Yes

Privacy-friendly analytics

d8a.tech
Yes
Plausible
Yes

Cookie-free or low-cookie setup

d8a.tech supports cookie-free or low-cookie configurations and is compatible with Google Consent Mode.

d8a.tech
Yes
Plausible
Yes

Data residency control

d8a.tech
Yes
Plausible
Partial

On-prem or private deployment path

d8a.tech
Yes
Plausible
Yes

Operations And Pricing

Free managed cloud tier

d8a.tech
Up to 500k events/mo
Plausible
Paid cloud

Free self-hosted tier

d8a.tech
Yes
Plausible
Yes

Pricing model

d8a.tech
Events
Plausible
Pageviews

Enterprise deployment path

d8a.tech
Yes
Plausible
Yes

Custom development path

d8a.tech
Yes
Plausible
Limited

FAQ

Questions about d8a.tech vs Plausible

Is d8a.tech a Plausible replacement?

Yes. d8a.tech has practical feature parity for core web analytics and adds a free tier up to 500k events per month, which Plausible cloud does not. At the same time, you do not outgrow d8a.tech, because there is a path from simple dashboards to richer warehouse-native analytics on your own infrastructure.

Why does tracking protocol compatibility matter?

Many teams already invested in GA4 or Matomo instrumentation. d8a.tech can work with those collection patterns, which lowers migration effort and reduces the risk of throwing away an existing tracking plan.

What does warehouse-native mean here?

It means analytics data can live in a data warehouse you control, instead of only inside a vendor dashboard. That makes it easier to join clickstream data with product, CRM, billing, or internal operational data.

When should I still choose Plausible?

Choose Plausible only if there is a must-have feature for your team that is not on the d8a.tech roadmap.

Start simple. Keep the data model open.

Try d8a.tech Cloud for free, or inspect the open-source code before deciding how you want to deploy it.