Migrate from In-House Pipelines to DLH.io
Retire the Python scripts, cron jobs, SSIS packages, and stored procedures that only one engineer understands. We rebuild them as managed DLH.io pipelines, run both side by side until the numbers match, then help you switch off the old ones.
Today
After
Same tables in your warehouse. One predictable bill.
Why teams stop building their own pipelines
Maintenance never ends
Source APIs change, tokens expire, and schemas drift. Every connector you build is one you keep fixing, usually at the worst time.
One person knows how it works
When the engineer who wrote it is busy or gone, nobody else can safely change it. That is a business risk, not just a tech one.
Engineers belong on modeling
Hours spent on retries, pagination, and backfills are hours not spent on the models and answers the business asked for.
How we move you off your homegrown pipelines
Five steps, led by our team. Nothing is switched off until the new pipelines are proven.
- 01
Assess
We inventory your homegrown pipelines: sources, synced tables, schedules, destinations, and the models and reports that read from them.
- 02
Map
Each pipeline is matched to a DLH.io connector or agent, with table and column mapping written down before anything is built.
- 03
Rebuild
Our team configures the DLH.io pipelines and destination schemas, and loads history from your sources.
- 04
Run in parallel
Your current pipelines keep running while DLH.io loads the same data. We reconcile row counts and key totals until they match.
- 05
Cut over
Point your models and reports at the DLH.io tables, then retire your current pipelines. No downtime, and you switch only when you're sure.
What moves, and who does the work
We rebuild for you
- Each source your scripts pull from, as a managed DLH.io connector
- Target tables and column mappings your reports already use
- Schedules from cron, SQL Agent, or Airflow
- Historical loads from each source
- Database sources behind your firewall, through the DLH.io agent
We finish with your team
- Walking us through any custom business logic baked into the scripts
- Source and warehouse credentials, IP allowlisting, or SSH tunnels
- Moving transformation logic into dbt models, with DbDeux if you want it managed
- Sign-off on the reconciliation before the old jobs are switched off
DLH.io vs In-house at a glance
| DLH.io | In-house | |
|---|---|---|
| Cost | Flat $2,499/month on DLH Enterprise | Engineering salaries, servers, and on-call time |
| Connector upkeep | API and schema changes handled by DLH.io | Your team fixes each break |
| Monitoring | Alerts to Slack, Teams, email, and PagerDuty | Whatever was built, if anything |
| Security and audit | SOC 2 Type II, SSO, RBAC, and audit logs | Depends on who wrote it |
See every plan on the pricing page.
Get a free migration assessment
Share a list of your sources, scripts, and schedules. We send back a migration plan: what we rebuild, what your team touches, a timeline, and your cost on DLH.io side by side with what you pay today. No commitment.
In-House Pipelines migration FAQ
Ready to move off your homegrown pipelines?
Keep your warehouse and your reports. Hand off the pipeline upkeep.