Service

Land SQL Server data on the platform your cloud already runs.

Most warehouse and lakehouse projects stall on the source: years of SQL Server tables, jobs, and undocumented grain. We start there — then land on Microsoft, Amazon, Google, Snowflake, or Databricks.

We rebuild the relevant environment in isolation, prove extract and load, then we can run production cutover or leave your team pipelines and a runbook.

What we do

Inventory of databases, CDC/change paths, and downstream reports
Target chosen against how you actually query and which CSP you already pay
Tested extract and load, with row counts and checksums as scoped
Handoff your team can operate

This is not a lift-and-shift of every table “just in case.” Scope is the data that earns its keep. If you need the engine upgraded in place instead, see SQL Server upgrade.

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Microsoft, Amazon, Google, and multi-cloud

Same SQL Server source. Target is the Microsoft, Amazon, Google, Snowflake, or Databricks product you already chose. We implement that choice.

Microsoft

Azure / SQL Server

SQL Server 2022 and 2025 (on-prem or Azure VM)
Azure SQL Database and Azure SQL Managed Instance
Microsoft Fabric and Azure Synapse Analytics
Azure Databricks

Amazon

AWS

Amazon RDS for SQL Server
Amazon RDS for PostgreSQL and Amazon Aurora
Amazon Redshift

Google

Google Cloud

Cloud SQL (SQL Server or PostgreSQL)
AlloyDB
BigQuery

Multi-cloud

Independent

Snowflake
Databricks
PostgreSQL