"How much does a real DTC data warehouse cost" is a question that gets asked at every scoping call and answered with vague numbers everywhere online. Depending on the vendor you read, the answer is "$500 to $5,000" or "$10K and up" or "free if you self-host." None of these help you budget.
This is the actual line-item budget for a mid-market DTC warehouse I have shipped twice in the last 18 months. 10K orders per month, 150K Klaviyo profiles, one Shopify store, Meta and Google Ads. Total run rate: ~$1,000 per month, plus the one-time build. Every line item, every vendor, where the money actually goes.
Fits into the warehouse-first analytics rebuild hub as the "what does this cost" answer.
The total
Roughly $1,000 per month for a mid-market DTC brand. Here is the breakdown.
| Line item | Vendor | Monthly cost | Notes |
|---|---|---|---|
| Ingestion: Shopify | Fivetran | $380 | ~120K monthly active rows |
| Ingestion: Klaviyo | Fivetran | $420 | ~2M events/mo |
| Ingestion: Meta + Google Ads | Fivetran | $150 | Report-level, not click-level |
| Warehouse storage | BigQuery | $2 | ~90 GB active |
| Warehouse compute | BigQuery | $0-45 | Under free tier most months |
| Transformation | dbt Cloud | $100 | Single developer |
| BI / dashboards | Looker Studio | $0 | Free |
| Ingestion service (custom) | Cloud Run | $35 | Server-side GA4 + Meta CAPI |
| Monitoring | Datadog free | $0 | Dbt source-freshness alerts |
| Total | all | ~$1,100 | Varies $900-$1,400 |
Where the money actually goes
Ingestion is the entire cost. Storage, compute, transformation, and dashboards combined are under $150 per month. The $1,000 is almost entirely the ELT pipeline vendors sending your data from source platforms into the warehouse.
This is counterintuitive. Most people expect BigQuery and the dashboard tools to be the expensive part. They are not. BigQuery at $6.25 per TB on-demand (see cloud.google.com/bigquery/pricing) costs pennies for a DTC-sized warehouse. The cost lives in Fivetran-style managed ELT because those tools charge per row regardless of what is in the row.
Understanding this changes the architecture. If you care about cost, you cut ingestion first. If you care about speed-to-value, you pay ingestion and move on.
Where you can cut
Three real options for cutting the $1,000 below.
Swap Fivetran for Airbyte Cloud. Airbyte Cloud is roughly half the price for the same scope. For the same 10K-orders-per-month brand, Airbyte Cloud runs $300 to $500 per month across all connectors versus Fivetran's $950. Tradeoff: Airbyte's Klaviyo connector has been less reliable historically; schedule syncs off-peak and monitor.
Swap Fivetran for DIY ingestion. If you have a data engineer and are willing to spend 3 to 5 days building an ingestion service for each source, your marginal ingestion cost drops to Cloud Run at ~$50 per month plus the engineer's time. Two brands I shipped went this route. Running cost: $200 per month total for the whole stack. Tradeoff: you own the code, including rate-limit handling, schema drift alerts, and the pager when something breaks at 2am.
Drop per-click ads data from the warehouse. The Meta and Google Ads ingestion at $150 is the line that is least often worth its cost. For brands that only need report-level ROAS (which is most mid-market brands), pulling ad data via the free Google Ads Data Transfer service and the Meta Marketing API to Cloud Run is enough. That cuts $150 from the monthly bill.
Minimum viable cost for the same warehouse: ~$250 per month with Airbyte Cloud and DIY ad ingestion. Maximum: $2,000+ if you graduate to Census or Hightouch for reverse ETL and a paid BI tool.
The one-time build cost
The recurring cost is only half the budget story. The initial build is where most of the money goes.
For a mid-market DTC brand with one Shopify store, one Klaviyo account, one GA4 property, and two ad platforms, the rebuild runs:
- Schema design: 1 week (see event schema design for DTC)
- Ingestion setup: 1 week (Fivetran is fast; DIY is longer)
- dbt staging and intermediate models: 2 weeks
- Mart models for 3 to 5 dashboards: 1 to 2 weeks
- Dashboard build and iteration: 1 to 2 weeks
- Testing, reconciliation, cutover: 1 week
Total: 7 to 9 weeks of dedicated engineer time. At $150-200 per hour for a fractional data engineer, that is $42K to $72K for the one-time build. Plus the recurring $1,000 per month for infrastructure.
A multi-store brand, a headless Hydrogen storefront, or a Recharge subscription stack pushes that to 12 to 16 weeks and $75K to $125K. Those are the engagements where the warehouse-first ROI actually compounds, because the warehouse is paying for better decisions on more complex questions.
When it is worth it
The warehouse-first rebuild pays for itself when one of these is true:
- The brand is spending $1M+ per year on paid media and making optimization decisions against data that disagrees by 30 percent across platforms.
- The brand is planning to replatform or expand (multi-store, headless, international) and the current analytics stack will not survive the change.
- The brand has 3+ stakeholders each running their own CSV-export analysis and the definitions are diverging.
- The brand has a specific operator question (cohort LTV, first-product analysis, attribution modeling) that cannot be answered from platform dashboards alone.
If none of those is true, the warehouse rebuild is probably premature. A better first move is a DTC stack audit to pinpoint where the analytics problem lives, then a targeted fix.
The scaling path
As the brand grows, the warehouse does not grow linearly. The cost scales with monthly active rows (MAR), which scales roughly with traffic and order volume.
Ballpark scaling for Fivetran-style managed ELT:
- 10K orders/mo, 150K Klaviyo profiles: $1,000/mo (this post)
- 25K orders/mo, 400K Klaviyo profiles: $1,800/mo
- 50K orders/mo, 800K Klaviyo profiles: $2,800/mo
- 100K+ orders/mo: graduate to enterprise pricing; $4-8K/mo range
BigQuery scales better than ingestion. A 100K-orders-per-month warehouse still runs under $200 per month for storage and compute on partitioned and clustered tables per the BigQuery for Shopify data pattern. The big cost at scale is the ingestion layer, and that is where most teams eventually migrate off managed ELT to self-hosted Airbyte or DIY.
“The warehouse is cheap. The pipes into the warehouse are where the budget goes. Design the ingestion layer first and everything downstream stays affordable.
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FAQ
What about Snowflake or Redshift instead of BigQuery?
Roughly the same order of magnitude. Snowflake with credits on a small warehouse runs $200 to $500 per month for similar volumes. Redshift starts cheaper for tiny volumes but scales worse. BigQuery's advantage is the on-demand pricing that keeps small-warehouse costs near zero. Pick based on your team's SQL preferences; all three handle DTC volumes fine.
Can I skip dbt to save the $100/mo?
dbt-core self-hosted is free. The $100 is dbt Cloud's managed scheduler and UI. For a single-developer warehouse, dbt Cloud's value is in the scheduling, testing, and version history. If you have a data engineer who wants to run dbt on Airflow or Dagster, skip Cloud. For most mid-market DTC teams, $100 for dbt Cloud is a fair price for the stability.
What about Hex, Metabase, or other BI tools on top?
Looker Studio is free and covers 80 percent of the DTC BI need at this scale. Metabase Cloud is $85/mo and has nicer drill-down and collection management. Hex is $24 per developer per month and unlocks notebook-plus-dashboard workflows. Most brands add one of these when Looker Studio's limitations show up; all three are legitimate graduations.
How do I budget for the build if I am hiring a fractional?
Assume $50K to $80K for the initial build on a single-store Shopify brand, delivered over 8 to 10 weeks. Multi-store, headless, subscription, or custom-checkout brands push that range up. The recurring infrastructure lands at $800 to $1,500 per month regardless of build complexity; complexity eats build time, not ongoing run-rate.
What if I want to start smaller?
Native Klaviyo connector + Shopify's Plus BigQuery connector (if you have Plus) + dbt-core + Looker Studio. Total: ~$5 per month in BigQuery storage. Tradeoff is you miss Meta, Google Ads, and a GA4 server-side feed. Fine for a brand that just wants Shopify + email in one place. Not enough for attribution modeling or unified dashboards.
What to try this week
Export last month's Fivetran invoice (or equivalent) and break it out by source. For most brands, one or two connectors account for 70+ percent of the spend. If Klaviyo or Meta is the outsized line, that is where the Klaviyo to warehouse ETL alternatives or a DIY Meta connector would earn their keep.
If you do not have a warehouse yet and are scoping one, a DTC Stack Audit is the fastest way to figure out whether you need a full rebuild or a targeted patch.
Sources and specifics
- Pricing numbers are from April 2026 vendor pricing pages: fivetran.com/pricing, airbyte.com/pricing, dbt-labs.com/pricing, cloud.google.com/bigquery/pricing.
- Monthly active rows numbers are from real invoices on brands I have shipped warehouses for; your mileage varies with sync cadence and schema choices.
- The 7-to-9-week build estimate assumes a single data engineer working full-time; calendar time stretches with part-time engagement.
- Pattern drawn from the Q1 2026 analytics engine case study, where a similar-scope warehouse shipped on a comparable budget.