Cloud Data Platform Migration
Plan and migrate data workloads to Snowflake.
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Move workloads with a clear cutover plan
A migration should address a specific limitation in your current platform. We assess workloads, dependencies and operating costs before planning a move to Snowflake.
The work covers source mapping, SQL conversion, reconciliation and cutover. If the main problem is inconsistent models, reporting or maintenance within an existing warehouse, start with Data Warehouse Modernization.
Key Benefits
Continuity through the move
Plan migration stages around reporting deadlines, dependencies and an agreed rollback path.
Savings of Up to 70%
We've seen Snowflake cost reductions of up to 70% through optimization. Your opportunity depends on the starting workloads and configuration; for a migration, we evaluate the full operating cost before recommending a move.
Access checked before cutover
Map existing permissions to Snowflake roles and policies, then test who can access each dataset.
A target your team can operate
Leave tested deployment routines, monitoring and runbooks with the people responsible for the new platform.
Our Snowflake Migration Services
Snowflake Migration Strategy
Map source data, transformation logic and report dependencies. Assess compatibility and the business case before choosing which workloads to move.
Target account setup
Snowflake manages the underlying infrastructure on AWS, Azure, or GCP. We configure the account, access controls and warehouses so your team can focus on data instead of maintaining servers.
Data and SQL conversion
Move data and adapt SQL, stored procedures and load schedules for Snowflake. Update the dependencies and connections needed in the new environment.
Reconciliation and workload testing
Compare data and report results with the source, investigate differences and test query performance, access and cost before the business switches over.
Cutover and handover
Repoint reports and downstream consumers, monitor the transition and agree when old jobs can be retired. Document recovery steps and ongoing ownership.
What changes when you move to Snowflake
Moving from AWS/Azure/GCP Data Services
- • Infrastructure Retirement: Identify which servers or clusters the migrated workloads no longer need
- • Workload Performance: Validate SQL performance and warehouse sizing against your workloads
- • Service Consolidation: Decide which processing services Snowflake can replace and which integrations remain
- • Flexible Compute: Size warehouses for each workload, with auto-suspend and scaling controls to manage spend
Moving from On-Premises Systems
- • Hardware Retirement: Decommission the systems no longer needed after cutover and validation
- • SQL and Pipeline Changes: Adapt the logic that needs to change for the target platform
- • Elastic Capacity: Expand capacity without buying hardware, while planning for concurrency and cost
- • Recovery Planning: Configure replication and test recovery against your recovery requirements
Decisions before cutover
- • Result Reconciliation: Agree which reports and business measures must match, and who signs them off
- • Recovery: Test the rollback path and retention settings before switching consumers
- • Consumer Access: Validate BI connections, roles and any shared datasets with their owners
- • Retirement: Agree when old pipelines, servers and contracts can be retired, including any overlap costs
Your Migration Path to Snowflake
Migrate From
On-Premises
Teradata, Oracle, SQL Server, Hadoop
AWS Services
Redshift, EMR, S3 + Athena, Glue
Azure Services
Synapse, HDInsight, Data Lake
GCP Services
BigQuery, Dataproc, Dataflow
Other Platforms
Databricks, Cloudera, MongoDB
Migrate To
Snowflake Data Cloud
- ✓ Mapped and migrated workloads
- ✓ Reconciled business measures
- ✓ Validated query performance
- ✓ Tested consumer access
- ✓ Cost and workload monitoring
- ✓ Cutover and recovery runbooks
Tools selected for the migration
dbt
Fivetran
Matillion
Coalesce
Our Snowflake Migration Process
Assess
Inventory workloads, dependencies and the operating-cost baseline.
Design
Map source structures, access rules and SQL compatibility.
Migrate
Move data in stages with reconciliation and a rollback plan.
Validate
Validate report results, query performance and operating cost.
Cut over
Switch consumers, monitor the transition and transfer operating responsibilities.
Plan your move to Snowflake
Discuss your current platform, migration constraints and the business outcome you need to support.
Schedule a discovery call