Where Matomo fits
Matomo is one of the strongest privacy-first alternatives to Google Analytics. It has a mature tracker, a deep UI, consent and privacy tooling, and years of trust from organizations that want data ownership.
Analytics comparison
d8a.tech vs Matomo
Matomo is a proven privacy-first analytics platform with a rich UI and strong compliance story. d8a.tech is for teams that like Matomo tracking but want reporting-ready, warehouse-native data without MySQL archiving, schema joins, or raw-data export pain.
Use Matomo's own addTracker API to send the same events to d8a.tech.
Flat, reporting-ready schema instead of Matomo's normalized MySQL maze.
Session and ecommerce fields available directly on event rows.
No archiving cron dependency for warehouse reporting.
Scales past 100M events/month without Matomo's hardware and maintenance burden.
TLDR
Which one should you choose?
Choose Matomo when you need a mature all-in-one analytics UI with heatmaps, session recordings, A/B testing, and a broad plugin ecosystem. Choose d8a.tech when your Matomo data needs to become clean, flat, warehouse-ready clickstream that can scale without turning analytics infrastructure into a dedicated engineering project.
Jump to the feature tableWhere d8a.tech is different
d8a.tech is strongest when Matomo tracking is good enough, but Matomo storage is not. It speaks the Matomo protocol, can receive the same tracking events, and stores them in a flat warehouse-ready schema with session and ecommerce fields already resolved.
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
Matomo tracks a lot, but its MySQL schema and archive tables make deeper analytics harder as data volume and team needs grow. Above 100M events/month, running Matomo reliably can become a serious infrastructure project.
Rich clickstream schema
d8a.tech stores tracked fields, session context, ecommerce data, campaign data, and custom values in a reporting-ready shape.
d8a.tech
Flat schema
Matomo
Normalized MySQL
Matomo spreads data across log_visit, log_link_visit_action, log_action, conversion, item, and archive tables.
Raw event-level data
d8a.tech is designed around almost realtime queryable event rows. In Matomo, raw event access often requires direct database queries, MySQL/MariaDB replication, plugins, or time-consuming exports.
d8a.tech
Yes
Matomo
Limited
Matomo's API is mostly a reporting API, not a raw event stream for warehouse analytics.
Session fields available on events
Session source, landing page, duration, counters, and ecommerce session context can be queried directly with event data.
d8a.tech
Yes
Matomo
Requires joins
In Matomo, session-level context requires joining log tables and resolving action IDs.
Fully modeled ecommerce data
d8a.tech keeps order fields and item details in a readable event schema. Matomo stores ecommerce items through conversion tables and action lookup IDs.
d8a.tech
Yes
Matomo
Limited
No pre-aggregation dependency
d8a.tech relies on analytical storage at query time. Matomo reporting depends heavily on archive tables generated by cron jobs.
d8a.tech
No archive cron
Matomo
Archiving cron
Data freshness at scale
d8a.tech is designed for almost realtime data availability. Matomo reporting requires pre-aggregation, so at high event volume dashboards can lag by many hours, one day, or more if archive jobs fall behind.
d8a.tech
Almost realtime
Matomo
Delayed at scale
Fresh raw-event workflows usually require database replication or exports outside the standard Matomo reporting path.
High-volume scalability
Above 100M events per month, Matomo can require expensive hardware, careful MySQL tuning, archive-job monitoring, and dedicated engineering time, with no guarantee that dashboards stay stable under load.
d8a.tech
Warehouse-native
Matomo
Hard to operate
Tracking And Protocols
The strongest migration path from Matomo is not replacing the tracker first. It is duplicating the same events to a warehouse-ready backend.
Matomo tracking protocol compatibility
d8a.tech can receive Matomo protocol requests and map them into a warehouse-ready schema. Use Matomo's own addTracker API to send the same events to d8a.tech while Matomo keeps running.
d8a.tech
Yes
Matomo
Native source
GA4 tracking protocol compatibility
d8a.tech also supports a GA4-style event model if you later outgrow Matomo's event format.
d8a.tech
Yes
Matomo
No
Custom events
Matomo custom events require category and action fields. d8a.tech can preserve Matomo events and also supports a more flexible native event model where event parameters do not need to be pre-configured in the UI before they are collected.
d8a.tech
Yes
Matomo
Category/action model
Custom dimensions and variables
Matomo custom dimensions need to be predefined before they are used. d8a.tech preserves Matomo custom dimensions and can also collect flexible event parameters without UI pre-configuration.
d8a.tech
Yes
Matomo
Predefined slots
Server-side collection path
d8a.tech
Yes
Matomo
Yes
Storage And Ownership
Both products care about data ownership. d8a.tech goes further by making the warehouse path the primary architecture rather than a difficult export problem.
Managed cloud option
d8a.tech
Yes
Matomo
Yes
Self-hosted option
d8a.tech
Yes
Matomo
Yes
Open source
d8a.tech
MIT
Matomo
GPL
Use your own data warehouse
d8a.tech can write directly to your analytics storage. Matomo Cloud has a data warehouse connector, but this is an export workflow from Matomo rather than the core storage model.
d8a.tech
Yes
Matomo
Export connector
BigQuery destination
d8a.tech
Yes
Matomo
Connector/export
ClickHouse destination
d8a.tech
Yes
Matomo
No
CSV/Parquet export path
d8a.tech
Yes
Matomo
Limited
BI tool compatibility
d8a.tech exposes flat data to BI tools. Matomo's BI workflows typically depend on its reporting API, Looker Studio connector, or warehouse export setup.
d8a.tech
Yes
Matomo
Limited
Analytics Features
Matomo wins on mature all-in-one UI breadth. d8a.tech wins when the analytical data foundation matters more than bundled UI modules.
Dashboard included
d8a.tech
Yes
Matomo
Yes
Real-time analytics
d8a.tech
Coming soon
Matomo
Yes
Conversion goals
d8a.tech
Coming soon
Matomo
Yes
Funnels
d8a.tech
Coming soon
Matomo
Yes
Heatmaps and session recordings
d8a.tech
No
Matomo
Yes
A/B testing and form analytics
d8a.tech
No
Matomo
Yes
Filtering and segments
d8a.tech
Yes
Matomo
Yes
API access
d8a.tech
No
Matomo
Yes
Readiness for Agentic AI
AI agents work better with flat, readable event tables than with reporting APIs and normalized lookup-heavy schemas.
d8a.tech
Yes
Matomo
Limited
Ask AI (built-in analytics agent)
d8a.tech
Coming soon
Matomo
No
Privacy And Compliance
Matomo is strong here. The main difference is not whether Matomo can be compliant, but how much infrastructure choice and warehouse control you want.
Privacy-friendly analytics
d8a.tech
Yes
Matomo
Yes
Cookie-free or low-cookie setup
d8a.tech
Yes
Matomo
Yes
EU cloud hosting
Matomo Cloud stores data in AWS Frankfurt with backups in Dublin. d8a.tech also offers EU hosting and warehouse-native deployment paths.
d8a.tech
Yes
Matomo
AWS EU
AWS remains a non-EU subprocessor. For teams avoiding non-EU subprocessors, Matomo is fully clean only when self-hosted.
Hosting location flexibility
Both products can be self-hosted, but d8a.tech also supports warehouse-native deployment paths where the storage location follows your own data platform.
d8a.tech
Yes
Matomo
Yes
Operations And Pricing
Free managed cloud tier
d8a.tech
Up to 500k events/mo
Matomo
Paid cloud
Free self-hosted tier
d8a.tech
Yes
Matomo
Yes
Self-hosting maintenance burden
Matomo self-hosting means PHP, MySQL/MariaDB, archive cron monitoring, plugin updates, GeoIP updates, and database tuning. Each part is manageable alone, but together they create a larger operational surface to monitor and maintain.
d8a.tech
Lower surface
d8a.tech was built with modern technologies for minimal required maintenance and strong scalability.
Matomo
Higher surface
Plugin ecosystem
d8a.tech
No
Matomo
Yes
Pricing model
d8a.tech
Events
Matomo
Events
Matomo Cloud pricing scales by traffic, and some advanced capabilities may depend on paid plugins or higher plans.
FAQ
Questions about d8a.tech vs Matomo
Is d8a.tech a Matomo replacement?
It can be, but the easiest path is often to run d8a.tech alongside Matomo first. Matomo can remain the familiar UI while d8a.tech receives the same events and writes them into a flat, reporting-ready warehouse schema.
Can d8a.tech run alongside Matomo?
Yes. Matomo's own addTracker API can send the same tracking events to a d8a.tech endpoint. That means you can keep Matomo dashboards and add a warehouse-native event pipeline without rewriting your tracking implementation.
What is the biggest difference between d8a.tech and Matomo?
Matomo is an all-in-one analytics application. d8a.tech is a warehouse-native collection and analytics layer. The biggest difference is the data model: d8a.tech gives you flat, queryable event rows with session and ecommerce context, while Matomo stores data across many MySQL tables and pre-aggregated archive tables.
Why does Matomo's database schema become a problem?
For dashboard usage, Matomo's schema is mostly hidden. For analysts, BI tools, or AI agents, it becomes painful because useful answers often require joining log_visit, log_link_visit_action, log_action, conversion, item, and archive tables. d8a.tech avoids that by storing reporting-ready fields directly on event rows.
When should I still choose Matomo?
Choose Matomo if you need its mature UI features today: heatmaps, session recordings, A/B testing, form analytics, WordPress integration, plugin ecosystem, or a proven all-in-one privacy analytics suite. Choose d8a.tech when warehouse-ready data, raw event access, simpler schema, and lower operational complexity matter more.
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.