Sunsprinkle moves legacy data warehouses and databases to the Databricks Data Intelligence Platform on fixed-price, fixed-scope terms. Every wave is delivered converted, reconciled to the source and accepted by your team.
Fixed-fee assessment in 2 to 4 weeks. You leave with a costed wave plan, whether or not you continue with us.
Led by a Data Engineering Professional with more than 20 years of experience.
Scope, price and date are agreed before each wave starts. Here is what that buys you.
Automation converts the code, so you don't pay by the hour for it. You pay for a defined set of tables, pipelines and reports running on Databricks.
Every migrated table is reconciled to its source: row counts, aggregates and key hashes. Nothing goes live on trust.
Retire legacy licences, appliances and idle capacity. On Databricks we right-size compute, use serverless where it fits and switch off what sits idle. You get a cost dashboard by team.
Legacy and Databricks run side by side until your sign-off. The old platform is paused, not deleted, until you say so.
Unity Catalog lineage, access control and audit are designed in, not bolted on after go-live.
AI needs data it can trust. With lineage, access control and audit already in Unity Catalog, your teams can put models and agents into production on the same platform.
We follow the same phased approach Databricks uses for its own migrations, with a fixed price attached to each step.
We profile your query logs, inventory every object and score it for complexity with Lakebridge Analyzer. You receive a costed, sequenced wave plan with a fixed price per wave.
→ Wave plan and fixed quoteTarget lakehouse on Delta Lake with Unity Catalog governance, organised in bronze, silver and gold layers. Lift-and-shift, modernise or hybrid, decided per workload. ETL-first or BI-first sequencing, chosen for your situation.
→ Target architecture and governance modelOne production workload, end to end. This calibrates conversion yield, validation effort and run cost before you commit to the rest.
→ Live pilot and calibrated planWave by wave. Data lands through bulk load, Auto Loader and change data capture with Lakeflow Connect. Lakebridge converts the code and our engineers handle what automation can't. Transformations run as Lakeflow Spark Declarative Pipelines, schedules move to Workflows and BI tools are repointed.
→ Accepted wavesAutomated reconciliation on every table, parallel run, your sign-off, cutover. Legacy is paused, then decommissioned. After go-live we tune cost: right-sized compute, auto-termination and a spend dashboard your finance team can read.
→ Parity report, cutover, cost dashboardETL from SSIS, DataStage and similar tools is rebuilt on Lakeflow.
→ land on Delta Lake and Databricks SQL, governed by Unity Catalog.
→ land on Lakebase, Databricks' managed Postgres, with gold data synced back to apps and agents.
is a named set of tables, pipelines and reports.
are agreed before work starts.
means it runs on Databricks, reconciles to the source and your team accepts it.
become a new priced wave, not an open-ended change order.
"If it isn't reconciled and accepted, it isn't done. That is our definition, not just yours."
You work with the person who designs and delivers, not a delivery bench. Stefan has spent more than 20 years building data platforms, including migrations off Oracle, SQL Server, PostgreSQL and MySQL for federal agencies and commercial platforms.
Workspaces, networking, identity, Unity Catalog and cost controls set up to AWS and Databricks best practice.
Conversion is automated. Validation isn't. We invest where the risk is: reconciliation, governance and cutover.
Oracle, SQL Server and Postgres application databases to Lakebase, with gold data synced back to the apps and agents that need it.
The assessment takes 2 to 4 weeks and produces a dated plan. A pilot typically follows within weeks. Total duration depends on the number of waves, and you will know it before you commit.
Each wave has a fixed price and a defined scope. It is accepted when the workload runs on Databricks and reconciles to the source. You are not billed by the hour for conversion.
No. Change data capture keeps Databricks in sync while you keep operating. Parallel run continues until your sign-off.
We specialise in Databricks on AWS and also deliver on Azure and Google Cloud.
Databricks' own: Lakebridge for analysis, conversion and reconciliation, Lakeflow Connect for change data capture, Unity Catalog for governance. Our engineers handle what automation can't.
Yes. A short assessment establishes what is converted, what is validated and what remains. We then price the rest as waves.
No. Airflow can keep orchestrating and trigger your jobs on Databricks. We move schedules to Workflows only where that makes operations simpler for your team.
A fixed-fee, 2 to 4 week assessment gives you an inventory of your estate, a target design and a fixed price per wave. No commitment beyond it.
Not ready to talk yet? Get the migration readiness checklist. Twenty questions, no form.
