RudderStackVendor Selection
RudderStack vs Segment vs Hightouch vs build-your-own, BigQuery vs Snowflake, when you actually need a CDP vs just a warehouse plus reverse ETL. Decision frameworks, not vendor pitches.
Service · Data Infrastructure
Data infrastructure built to last
From vendor selection to a running dbt project with reverse ETL back to your tools. We design, implement, and hand off a data stack your team can operate.
CDP & warehouse services
What we can help with
Bring us in for the architecture decisions, the implementation, the modeling layer, or any specific piece of the stack where you need a specialist.
Foundation
Decide and design the stack
The vendor and architecture decisions made at the start determine everything downstream. We help you choose what fits your actual scale, team, and goals, not the shiniest option.
Architecture & Data Model
Source-of-truth decisions, identity graph design, schema for events vs entities, how raw data flows to modeled data.
Ingestion
Bring data in cleanly
Data quality problems start at ingestion. We set up sources properly and handle the identity stitching that makes downstream data actually usable.
Source Integrations
Web SDKs, mobile SDKs, server-side, Airbyte and Fivetran for SaaS sources. Cross-domain tracking, identity stitching.
Identity Resolution
Anonymous to known stitching, account-level rollups for B2B, dedupe logic. The foundation for any user-level analysis.
Modeling and activation
Model and activate
Raw event data is not useful on its own. The modeling layer is where raw data becomes metrics, and reverse ETL is where those metrics flow back to the tools that act on them.
Modeling Layer
dbt project setup, staging and marts structure, materialization strategy, testing and CI. This is increasingly the highest-leverage part of the stack.
Reverse ETL & Activation
Hightouch and Census setup, syncing modeled audiences to ad platforms, CRMs, and CEPs. Closing the loop from warehouse back to action.
Operations
Keep it running and trusted
A data stack that nobody maintains or understands will quietly degrade. Governance, observability, and documentation are what make the investment last.
Governance
PII handling, access control, data retention, GDPR and regional compliance setup.
Monitoring & Observability
Freshness checks, schema change alerts, cost monitoring on the warehouse side. Know when something breaks before your users do.
Documentation & Enablement
Data dictionary, lineage docs, how-to-add-a-new-source runbooks. So the team can operate the stack without a specialist on call.
Tools we work with
The modern data stack
We work across the main CDP, warehouse, and modeling tools. The right choice depends on your scale, team, and existing infrastructure.
RudderStack
Segment
PostHog
BigQuery
Snowflake
Redshift
dbt
Airbyte
FivetranCDP & warehouse pricing
Three ways to work on data infrastructure
Start with a stack audit, scope a workshop or full build, or keep a light ongoing collaboration around new sources, modeling, and reporting.
€90 / hour
No value-based markups, no pricing based on who is paying.
Time tracked
Every hour is measured. You always know what you are paying for.
Start small
Start small, pause easily, and scale the work when it makes sense.
Audit
A short diagnostic when you need to understand what is broken, missing, duplicated, or risky before committing to a larger data infrastructure project.
Example package
Stack and modeling audit
Review the current stack, identity setup, modeling layer health, source integrations, and the prioritized fix list.
Architecture and identity reviewModeling layer and source checkPrioritized recommendations
Total
6-8 hours
Fixed price
€540-€720
One-off project
A defined implementation or cleanup project with a clear before-and-after state, QA pass, documentation, and handoff.
Example packages
Architecture workshop
Vendor and architecture decisions, data model, identity graph, and an implementation roadmap before any build starts.
Vendor and architecture decisionsSource-of-truth and schema designImplementation roadmap and spec
Total
16 hours
Fixed price
€1,440
Full stack build
CDP and warehouse setup, source integrations, dbt staging and marts, and reverse ETL configured and running.
CDP and warehouse setupSource SDK and SaaS integrationsdbt staging, marts, and reverse ETL
Total
40+ hours
Fixed price
From €3,600
dbt modeling project
Standalone dbt project on top of your existing warehouse with staging, marts, metrics layer, tests, and CI.
Staging and marts structureMetric and dimension modelingTesting, docs, and CI
Total
20+ hours
Fixed price
From €1,800
Ongoing collaboration
A monthly collaboration for teams that need data infrastructure to keep up with product changes and want regular modeling and insight work.
Example packages
Stack support
Light support for new sources, schema drift, freshness monitoring, and small model updates as the business grows.
New source integrationsSchema and freshness monitoringModel updates and QA
Total
8 hours / month
Fixed price
From €720 / mo
Modeling and insight
Monthly modeling pass with analysis for new metrics, attribution refinements, and exec-level reporting.
Monthly modeling passNew metric and attribution workExec reporting updates
Total
12 hours / month
Fixed price
From €1,080 / mo
Get a data stack your team can actually operate
Tell us where you are today, whether you are choosing tools, mid-implementation, or sitting on raw data with no modeling layer. We will scope the right work.