datascale

The integrations we use. Honest and transparent.

We recommend what we run ourselves or build in production for clients, and name the tradeoffs honestly. Where a partnership exists, it is declared openly, commission model included.

36Integrations
10Categories
25EU / self-hosted
100 %Editorially reviewed

Analytics

9 INTEGRATIONS
Piwik PROPiwik PRO
EU region

GDPR-focused GA4 alternative with EU hosting and a self-hosting option. Analytics, tag manager, and CDP in one suite.

4.3
Self-hosted

Self-hosted, cookieless web analytics. GDPR-compliant without a consent banner, full data ownership in the EU region.

4.3
MixpanelMixpanel
EU region

Powerful product analytics platform with dedicated EU data residency. First-class funnel and cohort analysis that is miles ahead of GA4's interface.

4.2
PostHogPostHog
Self-hosted

Open-source product analytics, session replay, feature flags, and experimentation in one. Self-hostable in the EU region.

4.2
MatomoInnoCraft
EU region

The open-source classic and darling of the DACH public sector. 100% data ownership, but the UI feels dated and the architecture struggles with massive event volumes.

3.9
Piano AnalyticsPiano Software
EU region

European analytics leader with maximum GDPR safety (CNIL exemption). Outstanding for publishers and media, but comes with a steep learning curve and a rather rigid event model.

3.9
US-Cloud

Free heatmaps and session recordings. Valuable qualitative signals at zero budget, but US cloud, Microsoft uses aggregated data for ML training, and consent gating is mandatory.

3.8

The web analytics standard with a huge ecosystem and a free BigQuery export. Consent-dependent and US cloud; it only earns its keep with a clean setup.

3.5
PendoPendo
US-Cloud

Product analytics plus in-app guides and onboarding in one platform, with retroactive event tagging and an EU hosting option. Strong for SaaS with a product team, clearly enterprise-priced.

3.5

Tag Management

2 INTEGRATIONS

Server-side tagging layer that restores first-party data flows and conversion quality. The software is free; the work is in getting the setup right.

4.1
US-Cloud

The standard tag manager for the web. Free, with a huge template ecosystem and versioning, but without naming conventions and consent governance every container grows wild.

4.0

Server-Side & Tagging

2 INTEGRATIONS
Managed

Managed server-side GTM hosting in the EU region. The fastest clean entry into sGTM, with a DPA and an open migration path to your own infrastructure.

4.5
JENTISJENTIS GmbH
EU region

Privacy-focused server-side tracking platform from Austria. Built-in Twin-Server technology and data reduction before forwarding make it ideal for high enterprise compliance demands.

3.9

Data Warehouse

3 INTEGRATIONS
BigQueryGoogle
EU region

Serverless data warehouse for the modern data stack. Petabyte scale, SQL-native, tightly integrated with GA4, dbt, and the Google ecosystem.

4.4
SnowflakeSnowflake
EU region

Cloud data warehouse with elastic separation of compute and storage, a multi-cloud option, and an EU region. The alternative to BigQuery.

4.3
ClickHouseClickHouse
EU region

Blazing fast columnar database for real-time analytics. Open-source and easily self-hosted in the EU, but requires data engineering resources as its SQL dialect has quirks.

4.1

BI & Visualisation

4 INTEGRATIONS
MetabaseMetabase
EU region

Open-source BI that business departments actually understand. Perfect for the mid-market and self-hostable, but eventually hits its limits with highly complex enterprise data models.

4.3
Power BIMicrosoft
US-Cloud

Microsoft's self-service BI, firmly set in the DACH mid-market. Often already licensed in M365 and adopted by business teams, but US cloud and only as good as the data model underneath.

3.9
US-Cloud

Free dashboarding tool with native BigQuery connectivity (and after the Looker intermezzo, finally called Data Studio again). Ubiquitous in marketing, but suffers massive performance drops when blending data and lacks version control entirely.

3.6
TableauSalesforce
US-Cloud

The visualisation leader for analyst teams. Unmatched in exploratory analysis and chart depth, clearly enterprise-oriented since the Salesforce acquisition, and priced accordingly.

3.5

Consent & CMP

4 INTEGRATIONS
Borlabs CookieBorlabs GmbH
Self-hosted

The WordPress consent standard from Germany. Runs entirely on your own server, flat yearly license instead of traffic pricing, but no option outside WordPress.

4.5
CookiebotUsercentrics
EU region

The plug-and-play CMP for SMBs from the Usercentrics group. Automatic scanning and quick setup, but the auto-scan needs manual verification and the comfort ends at multi-domain.

4.2
UsercentricsUsercentrics GmbH
Managed

Established German consent management platform. TCF-certified, court-tested, broad integrations, but priced at the premium end.

3.8
OneTrustOneTrust
Self-hosted

Enterprise privacy suite from the US. CMP, cookie scanning and privacy ops in one platform, built for corporate setups with many jurisdictions and priced accordingly.

3.3

Data Integration & ETL

4 INTEGRATIONS
dbtdbt Labs
Self-hosted

Transformation layer for the warehouse. Versioned, tested SQL models with lineage instead of SQL sprawl across BI tools.

4.3
FivetranFivetran
EU region

Managed-ELT heavyweight with 900+ connectors. Reverse-ETL native since the Census acquisition, end-to-end data movement from one place.

4.3
funnel.ioFunnel Oy
Managed

Marketing data hub with 500+ connectors. Harmonises marketing data before BigQuery / Snowflake so BI and AI layers get a clean schema.

4.3
AirbyteAirbyte
EU region

The open-source challenger to Fivetran. A massive ecosystem of community connectors for long-tail APIs, but requires more day-to-day maintenance and babysitting.

4.0

CDP & Event Pipelines

4 INTEGRATIONS
RudderStackRudderStack
Self-hosted

A CDP built for data engineers. It does not store data itself (warehouse-first), avoiding classic vendor lock-in, and offers excellent privacy control via its open-source data plane.

4.2
HightouchHightouch
EU region

Reverse-ETL and composable CDP directly on the warehouse. Audience activation without data duplicates, a US vendor used with SCCs and a DPA.

3.8
SegmentTwilio
EU region

The industry leader in event routing. Great UI and an unmatched ecosystem, but massive lock-in effects and aggressive pricing that often crushes mid-market budgets.

3.7
SnowplowSnowplow
Self-hosted

Open-source behavioral-data platform. Schema-validated first-party events, self-hostable in the EU region, straight into your own warehouse.

3.7

CRM

2 INTEGRATIONS
HubSpotHubSpot
EU region

The modern B2B CRM with excellent time-to-value. Superb usability and inbound focus, but licensing costs scale aggressively with large contact lists and complex architectural needs.

3.9
SalesforceSalesforce
EU region

The undisputed CRM giant. An extremely powerful ecosystem acting as a relational database to adapt to any process – bought at the price of massive implementation costs and expensive lock-in effects.

3.8

Marketing Automation

2 INTEGRATIONS
BrevoBrevo (formerly Sendinblue)
EU region

Marketing automation from Paris: email, SMS and WhatsApp with EU hosting and volume pricing. GDPR-native and mid-market-friendly, behind Klaviyo on deep D2C segmentation.

4.3
KlaviyoKlaviyo
US-Cloud

The de-facto standard for D2C and e-commerce. Extremely data-driven and unbeatable at activating buyer segments, though its clear US focus requires pragmatic compromises on EU privacy.

4.2
  • Q01
    Do I need a semantic layer before deploying an analytics agent?

    Yes. Without a semantic model the agent guesses from the raw schema and reproduces Shadow BI at the agent level. Snowflake measures roughly 20 percent higher text-to-SQL accuracy with a semantic layer than with schema alone, plus consistent metric definitions and lineage.

  • Q02
    Is MCP GDPR-compliant?

    That depends on the governance layer, not the protocol. Raw MCP schema access often uses a service account instead of user identity and bypasses row- and column-level security. It becomes compliant when MCP runs on top of the semantic layer with real access control.

  • Q03
    Self-hosted LLM observability in the EU, what should I use?

    Langfuse as the default, MIT-licensed and self-hostable in the EU. Arize Phoenix if you've standardised on OpenTelemetry. Both keep the trace data in your own infrastructure.

  • Q04
    Cortex or BigQuery ML?

    Follow the warehouse, not the trend. If the lakehouse runs on BigQuery in the EU, BigQuery ML is the coherent default. In a Snowflake-committed shop, Cortex is the more direct path.

  • Q05
    MMM or attribution in 2026?

    Both, but layered. MMM carries strategic budget allocation, incrementality tests validate the largest channels, attribution stays the directional signal for ongoing optimisation. Privacy ended multi-touch attribution as the single source of truth, not measurement itself.

  • Q06
    Is open-source MMM (Meridian, Robyn) worth it?

    Yes, but count honestly: the licence is free, the total cost of ownership is data-science headcount. An unmaintained MMM decays, and when the data scientist leaves, the model breaks. Running and maintaining it is exactly our job.

  • Q07
    How do I measure without third-party cookies?

    With the layered stack: first-party event collection as the foundation, MMM for strategic contribution, incrementality tests for causality. None of these layers needs third-party cookies.

  • Q08
    Composable CDP or packaged?

    It depends on your data-engineering maturity. If a cleanly modelled warehouse is your golden record, a composable CDP activates directly on it, with no data copy. Without that foundation, a packaged solution can be the faster start.