Catalog

The pipeline you already run — or the one your target platform expects.

A move is not one trick. SQL Server Agent, SSIS, Azure Data Factory, Fabric, AWS Glue, BigQuery loads, Snowpipe, Databricks Lakeflow — we name the pattern in the SOW and map columns through it. You choose the Microsoft, Amazon, Google, Snowflake, or Databricks product. We implement that choice.

Methodology says we do not start the replica move until that pattern and the source-to-target map are signed.

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Microsoft SQL Server

  • Side-by-side or in-place upgrade
  • Backup/restore and log-shipping cutover
  • CDC / change tracking, replication
  • SQL Server Agent jobs
  • SSIS and T-SQL procedure pipelines
  • Bulk load (BCP / BULK INSERT)

Microsoft Azure and Fabric

  • Azure Data Factory and Synapse pipelines
  • Microsoft Fabric copy jobs and pipelines
  • Azure Database Migration to Azure SQL Database or Managed Instance

Amazon

  • AWS Database Migration Service
  • AWS Glue
  • S3 stage and COPY into Amazon Redshift
  • RDS for SQL Server

Google Cloud

  • Datastream / Dataflow
  • BigQuery load and copy jobs
  • Cloud SQL (SQL Server or PostgreSQL)

Snowflake and Databricks

  • Snowflake COPY INTO / Snowpipe, streams and tasks
  • Databricks Auto Loader, Lakeflow / DLT, Spark jobs
  • dbt on Snowflake or Databricks

Tell us which pattern you need

Version, target, and how data moves today (jobs, SSIS, ADF, or none of those). We reply with a path.

Request an assessment
Request an assessment