Moving to Snowflake promises less administration, independent scaling of storage and compute, and a cleaner path to modern analytics and AI. Getting there means moving years of tables, SQL, stored procedures, ETL jobs, and reports from platforms like Amazon Redshift, Teradata, Netezza, SQL Server, Oracle, or Hadoop — without breaking the dashboards and processes that depend on them.
Our Snowflake migration services plan and execute that move safely. We assess what you have, convert schemas and code, migrate data and pipelines, run old and new systems side by side, validate every result, and set up Snowflake with the security and cost controls it needs from day one.
What are Snowflake migration services? Snowflake migration services move data warehouses and analytics workloads from platforms such as Amazon Redshift, Teradata, Netezza, SQL Server, Oracle, or Hadoop to Snowflake. The work includes assessing the source environment, converting schemas, SQL, and stored procedures (often with tools such as Snowflake SnowConvert), migrating historical and incremental data, re-pointing ETL pipelines and BI tools, validating results, and configuring warehouses, security, and cost controls.
Snowflake Migration at a Glance
Question | Answer |
|---|---|
What it is | Moving data warehouses and analytics workloads to Snowflake safely |
Migrate from | Amazon Redshift, Teradata, Netezza, SQL Server, Oracle, Azure Synapse, Google BigQuery, Hadoop and Hive |
Core deliverables | Migration assessment, converted schemas and SQL, migrated data, re-pointed pipelines and BI, validation reports, Snowflake setup |
Tools | SnowConvert, Snowpipe, managed connectors, dbt, custom scripts |
Approach | Phased waves with parallel running until results match |
Engagement models | Migration assessment, migration project, post-migration optimization |
Why Companies Migrate to Snowflake
Less administration — no infrastructure, vacuuming, or manual tuning of the kind older warehouses require
Separate storage and compute — scale each independently and isolate workloads
Multi-cloud — run on AWS, Azure, or Google Cloud
Concurrency — separate virtual warehouses stop BI, ETL, and data science competing for resources
Modern features — data sharing, Snowpark, Cortex AI, and Iceberg tables
Retiring ageing platforms — appliance or legacy warehouses reaching end of support
What Changes in a Snowflake Migration
Area | Typical source | In Snowflake |
|---|---|---|
SQL dialect | Redshift, Teradata BTEQ, T-SQL, PL/SQL | Snowflake SQL |
Stored procedures | T-SQL, PL/SQL, Teradata macros | Snowflake Scripting, JavaScript, or Snowpark procedures |
Distribution and indexes | Distribution keys, sort keys, indexes | Automatic micro-partitioning, optional clustering keys |
Workload management | Queues and resource groups | Separate virtual warehouses |
Loading | Proprietary utilities and scripts | COPY, Snowpipe, connectors |
Our Snowflake Migration Services
Migration assessment
We inventory databases, tables, SQL, procedures, ETL jobs, data volumes, and downstream reports, and estimate effort, risk, and Snowflake running costs.
Target design
We design databases, schemas, warehouses, roles, and environments in Snowflake based on our Snowflake consulting standards.
Schema and code conversion
We convert DDL, views, SQL, and stored procedures, using automated tools where they help and careful manual conversion where they don't.
Data migration
We move historical data efficiently, then keep it in sync with incremental loads until cutover.
Pipeline migration
We re-point or rebuild ETL and ELT pipelines to load Snowflake, often modernizing them with dbt.
BI and application re-pointing
We switch dashboards, reports, and applications to Snowflake and test them.
Validation
We compare row counts, aggregates, and report outputs between old and new systems and resolve every difference.
Security and cost setup
We set up roles, masking, network policies, resource monitors, and right-sized warehouses.
How It Works
Step 1: Assess
We inventory the source environment and estimate effort, risk, and cost.
Step 2: Plan waves
We group workloads into migration waves, starting with lower-risk areas.
Step 3: Convert and migrate
We convert code and move data for each wave.
Step 4: Run in parallel
We run old and new systems side by side and compare results.
Step 5: Cut over
We switch users and pipelines to Snowflake for each wave.
Step 6: Optimize and retire
We tune Snowflake for cost and performance, then help decommission the old platform.
What You Get
A detailed migration assessment and cost estimate
Converted schemas, SQL, and procedures
Migrated, validated data
Re-pointed pipelines and BI tools
A secure, cost-controlled Snowflake account
Documentation and a retirement plan for the old platform
Who This Is For
Redshift users | Teradata and Netezza users | SQL Server and Oracle warehouse users | Hadoop users |
|---|---|---|---|
Want less administration and better concurrency | Need to leave appliances or costly licenses | Want a cloud warehouse with independent scaling | Want a simpler platform for SQL analytics |
Why Work With Codersarts
Warehouse migrations are judged by one thing: whether every report still shows the right number. We assess thoroughly, migrate in waves, run systems in parallel, and validate before every cutover. Our team then optimizes Snowflake so costs stay predictable, and can modernize pipelines along the way through our data modernization practice.
Frequently Asked Questions
How long does a Snowflake migration take?
Small warehouses can move in a few weeks. Larger migrations with many procedures, pipelines, and reports are delivered in waves over several weeks to a few months.
Can SQL and stored procedures be converted automatically?
Tools such as SnowConvert convert a large share of DDL and SQL, and some procedural code. Complex procedures and edge cases still need manual conversion and testing.
Will our reports still work?
Yes, once re-pointed and tested. We validate report outputs against the old system before users switch.
How do we avoid downtime?
We run old and new systems in parallel with incremental sync, then switch each wave once results match, so business users keep working throughout.
Will Snowflake be cheaper than our current warehouse?
Often, but it depends on workloads and settings. We estimate Snowflake costs during assessment and set up warehouse sizing, auto-suspend, and resource monitors to control spending.
How much does a Snowflake migration cost?
The assessment is a fixed-scope engagement and produces a detailed estimate for each migration wave.
Can you migrate from BigQuery or Synapse to Snowflake?
Yes. We migrate from cloud warehouses as well as on-premise platforms, converting SQL and pipelines and validating results.
Related Data Services
Data Warehouse Consulting — warehouse design on any platform
Cloud Data Migration — move the wider data estate to the cloud
Database Migration — move operational databases
Business Intelligence — dashboards on your new Snowflake warehouse
Ready to Move to Snowflake?
Tell us which platform you're on and roughly how big it is. We'll assess the migration and show you what it would take.
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