AWS Redshift Migration Consulting With a Contracted Cutover Date

  • Cutover date in the SOW
  • One fixed fee
  • Column-level lineage
  • Parallel-run reconciled
  • AWS Premier Tier

Most warehouse migrations are sold on an estimate and delivered on an extension. Mactores, the agent-native AWS modernization firm, moves Teradata, Netezza, Oracle Exadata and SQL Server warehouses to Amazon Redshift against a cutover date written into the statement of work and a fee agreed before build starts. When a slip is ours, so is the extra cost. You finish with Redshift serving production reports, lineage your auditors can follow column by column, and the old platform switched off.

Start with your deadline

A Teradata or Exadata renewal on the calendar? Start the conversation there.

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AWS Partner Tier
Premier Tier
AWS Specialization
Agentic AI
Competencies incl. Data & Analytics
7 Competencies
Validations incl. Amazon Redshift
17 Validations

60–70%

of discovery, conversion and test hours run by agents instead of billed by the hour

12 wks

median from kickoff to production across all Mactores engagements

21

published case studies, every customer named

200+

AWS-certified FDEs

2008

the year Mactores started building on AWS

Top Mactores Clients

All 21 case studies →
Customers include Safaricom, Synaptics, Flipboard, Poshmark, Seagate, HP, Adani, DocuSign, KlearTrust, Tilia, Sterne Kessler and Total Expert.

A warehouse migration usually goes wrong in one of two places. The first is the calendar: conversion effort is estimated from a sample, the real object count surfaces in month three, and the date moves. The second is the audit: cutover happens, and six months later nobody can show how a figure in the board pack was derived. Mactores prices the migration from a measured inventory of your warehouse, and the FDEs who build that inventory stay on through cutover and decommissioning.

Priced from a real inventory

Tables, procedures, ETL jobs and reports are counted before the fee is set, so the number reflects your warehouse rather than a template.

One team, kickoff to cutover

The FDEs who assess your warehouse are the ones who convert, reconcile and switch it over. Nothing gets lost between an assessment team and a build team.

Lineage you can hand an auditor

Source-to-column lineage is a named deliverable in the SOW, captured while data moves instead of rebuilt from memory later.

Our delay, our cost

A slip Mactores causes is paid for by Mactores. A slip caused on your side is billed at the rate already set in the SOW.

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Before you sign anything

See the object count, the cutover plan and the retirement date first.

Scoping gives you the numbers your CFO and audit committee will ask for.

Book a scoping call

Why Do Redshift Migrations Run Late, and How Does a Fixed Date Help?

Late Redshift migrations tend to share three causes: stored procedures and macros nobody counted at the start, reconciliation that begins in the final weeks instead of the first, and a contract that pays for hours rather than an outcome. When the vendor bills by the hour, a slipping date costs the customer and nobody else.

Mactores takes away both the manual effort and that incentive. Agents run 60–70% of the repetitive hours: inventorying objects, converting schemas and SQL, extracting lineage and generating reconciliation tests.
FDEs make the decisions that need judgment, such as which Redshift deployment fits, how tables are distributed and sorted, and the order in which workloads cut over. With most of the hours automated, the fee can be fixed without padding, and a missed date can carry a financial consequence for us instead of you.
Agents · 60–70% of hours
FDEs · the judgment calls

Object inventory, schema and SQL conversion, lineage capture, reconciliation test generation

Deployment choice, distribution and sort design, cutover order, and your team's sign-off at every phase exit

Read the clause

The overrun clause is public. Read it before we talk scope.

It spells out who pays when a Redshift cutover date moves, and why.

See the commitment

What Does an AWS Redshift Migration Consulting Engagement Include?

Each engagement moves one legacy warehouse (Teradata, Netezza, Oracle Exadata, SQL Server, Greenplum, Vertica or an on-premises Hadoop estate) to Amazon Redshift, along with the pipelines that feed it and the reports that read from it. The five items below are what the fixed fee covers.

  1. 01

    A measured inventory of tables, views, stored procedures, macros, ETL jobs, BI reports and recent query history, which is the input that sets the fee

  2. 02

    Schema and code conversion with AWS Schema Conversion Tool, including Teradata BTEQ scripts to Amazon Redshift RSQL, with FDE rewrites for anything the tool flags

  3. 03

    Target design on Redshift Serverless or provisioned RG and RA3 clusters, with distribution, sort keys and workload management sized from real query patterns

  4. 04

    Data movement: history staged in Amazon S3 and loaded with COPY, ongoing changes replicated by AWS DMS, and ETL rebuilt in AWS Glue or re-pointed from Informatica, DataStage or SSIS

  5. 05

    Column-level lineage, parallel-run reconciliation, BI re-pointing, and shutdown of the legacy warehouse, its licence and its hardware

Moving a transactional Oracle or SQL Server database rather than a warehouse? That usually belongs on Amazon Aurora or Amazon RDS, and our Application & Database Modernization practice handles it. Already on Redshift and need the warehouse itself modernized? The FAQ below covers node upgrades and the Python UDF retirement.

 

Name your stack

Send us the source warehouse, the ETL tool and the BI tool. We'll map the route.

Teradata, Netezza, Exadata and SQL Server each convert differently, and the route changes both the fee and the date.

Check your migration path

How Do You Migrate a Data Warehouse to Amazon Redshift, Step by Step?

  1. 01

    Inventory and fixed-date scoping

    Agents crawl the source warehouse and its query logs to count and score every object: which procedures convert automatically, which need a rewrite, which tables are queried constantly and which are never read. FDEs use that evidence to choose the Redshift deployment, draft the cutover order and set the date. The statement of work carries all three (scope, date and fee), so the figure your finance team sees is final rather than indicative.

    Phase exit

    Signed SOW with scope, cutover date and fee.

  2. 02

    Conversion, loading and lineage capture

    Converted schemas and code are deployed to Redshift, history is loaded from Amazon S3, and AWS DMS keeps the new warehouse in step with the old one. Lineage is recorded as each object moves (the source field, the transformations applied and the Redshift column it lands in) and handed over in a format your data catalog can ingest. Your team reviews the converted objects and the lineage before the phase closes.

    Phase exit

    Your sign-off on converted objects and the lineage artifact.

  3. 03

    Parallel run, reconciliation and cutover

    Both warehouses process the same workloads side by side. Reconciliation compares row counts, column checksums, aggregates and the output of the reports your business relies on most, and every mismatch is traced and closed before cutover, while it is still a test result and not an incident. BI tools switch over on a rehearsed schedule, with rollback triggers agreed beforehand.

    Phase exit

    Reconciliation accepted and rollback triggers agreed.

  4. 04

    Tuning and decommissioning

    With production traffic on Redshift, FDEs adjust distribution, sort keys, workload management queues and concurrency scaling to how the warehouse is actually used. Then the legacy platform is shut down, including its licence, support contract and hardware. That last step is where the budget case lands: a warehouse left running "just in case" is a second bill, not a safety net.

    Phase exit

    Legacy warehouse cleared for shutdown.

 
fsdm-progress-steps

Phase 1 output

Phase 1 closes with a date, a fee and a scope you can sign.

Nothing moves into build until all three are in the statement of work.

See how we work

What Results Have Mactores Data Platform Migrations Delivered?

These are named customers with published stories. None was a Redshift-only project. Each shows a delivery habit this page depends on: lineage captured during the work, dependency maps built before cutover, and staged switchovers users never notice.

What ties the four together is method, not platform: evidence captured during delivery, dependencies mapped before anything moves, and cutovers staged so users don't notice. AWS verifies Redshift delivery separately, through Mactores' Amazon Redshift Delivery validation. Full write-ups are at mactores.com/stories.

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A reference on your platform

Ask for the Redshift engagement closest to your source warehouse.

Named accounts and verified figures are shared under NDA once commercial talks begin.

Request a reference

How Do You Keep Data Lineage Audit-Ready When Migrating to Redshift?

Examiners and auditors rarely ask whether the new warehouse works. They ask how a specific number was produced, and whether the migration changed it. Mactores answers both with evidence created during delivery: a column-level lineage artifact, reconciliation results from the parallel run, and a signed acceptance record at every phase exit. Nothing has to be pieced together after go-live.

Framework
Where it applies
SOX Section 404
Warehouse data that feeds financial statements and internal-control testing
SEC Rule 17a-4 and FINRA Rule 4511
Broker-dealer books and records with retention and retrieval obligations
FFIEC guidance
Bank and credit union systems reviewed during federal examinations
HIPAA

Claims, clinical and research data containing protected health information

SOC 2

Control evidence for how the engagement and the target environment are run

GDPR
Data about EU or UK residents, regardless of where Redshift runs

On the Redshift side, encryption, role-based and fine-grained access controls, and audit logging are tested before the first production report moves. For banks that report against the BCBS 239 risk-data principles, the lineage artifact gives examiners the traceability from source system to risk report that those principles call for.

  • sec-seal-1
  • hipaa-3
  • ffiec-white-1
  • gdpr-1

Evidence, not paperwork

Tell us what your examiner asks for. We'll show which phase produces it.

Every framework above maps to a specific phase exit and artifact.

Talk through your audit scope

How Does Redshift Migration Scope Change by Industry?

The contract terms are identical in every sector. The first risk we scope for is not.

Financial Services

Regulatory reporting, risk and finance marts come first, because they are what examiners test. Lineage runs from the core system to the published figure, parallel-run reconciliation evidence is kept for audit, and FFIEC, SEC and FINRA requirements are fixed during scoping.

Financial services

Healthcare & Life Sciences

Protected health information shapes the design: encrypted storage, column-level access to claims and clinical fields, and audit logs switched on before the first table loads. Research and claims analytics get the same lineage depth as finance.

Healthcare & life sciences

Internet & Software

Parallel runs follow your release train, so product analytics never goes dark. After cutover, zero-ETL integrations from Amazon Aurora, RDS and DynamoDB can replace the hand-built pipelines that feed the warehouse.

Internet & Software

Manufacturing

Plant historians, quality systems and supply-chain feeds, including SCADA and OT-adjacent sources, are mapped in Phase 1, so operations can approve the cutover window with the data in front of them.

Manufacturing

Telco, Media, Entertainment, Gaming, and Sports (TMEGS)

Audience and event data arrive as streams, so Redshift streaming ingestion from Amazon Kinesis and Amazon MSK is load-tested at peak, and cutover is scheduled away from launches, finals and live events.

TMEGS

Your sector first

Name the risk your team worries about most, and scoping starts there.

Examiner questions, PHI exposure, release timing or plant uptime.

See all verticals

How Much Does a Redshift Migration Cost, and What Drives the Fee?

Pricing note

Nothing in this section is a quote. Figures and examples are directional and for planning only. Your fee is fixed after scoping and appears in your signed SOW.

Cost driver
What pushes it up
Code inside the database
Volume of stored procedures, macros, BTEQ, PL/SQL or NZPLSQL, and SQL features with no direct Redshift equivalent
Data volume and history
Total size, number of tables, and how short the windows are for the initial load and change replication
Downstream consumers
Number of ETL jobs, dashboards, extracts and teams that must be re-pointed and re-tested
Regulatory scope
SOX, SEC/FINRA, HIPAA or FFIEC data that adds lineage depth and evidence steps
Cutover tolerance
How many systems depend on the warehouse, and how little downtime the business can accept

Two warehouses of the same size can price very differently. A 20 TB estate of thin views over clean tables moves faster than a 5 TB one carrying thousands of stored procedures, which is why the fee follows the inventory, not the terabytes. Delays caused on the customer side (access not granted, sign-offs missed, scope added after signature) are billed at the time-and-materials rate already written into the SOW.

Where does the budget for a Redshift migration come from?

Usually from lines you already pay for. Legacy warehouse contracts bundle licence and support that renew every year, appliances run on multi-year hardware refresh cycles, and capacity is sized for the busiest week of the quarter.

ETL and replication tools are often licensed per source platform too. For qualifying workloads, the AWS Migration Acceleration Program (MAP) can offset part of the migration cost. AWS decides eligibility, and we check it during Phase 1.

 

Spend you already carry

  • Annual warehouse licence and support renewal
  • The next appliance hardware refresh
  • Capacity bought for quarter-end peaks
  • ETL and replication licences tied to the old platform

Where it goes instead

  • Conversion, lineage and reconciliation
  • Parallel run, rehearsal and tuning
  • Shutting the old warehouse down for good

On the Redshift side, AWS states that its Graviton-based RG instances deliver up to 2.4x the performance of RA3 at a 30% lower price. Treat any vendor benchmark as the best case, and test it against your own queries in Phase 1. The savings that hold up in every business case come from the licence and hardware you stop paying for.

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Run your own numbers

Bring your renewal date and last invoice. Leave with a fee, not a range.

A 30-minute session with the FDE who would lead your scoping.

Book a scoping call

What Do Common Redshift Migration Terms Mean?

Short definitions of the terms used on this page, in the sense Mactores uses them.

Agent-native
A delivery model in which AI agents carry most engagement hours by design, rather than being added to a traditional consulting team afterward. It is what makes a fixed fee and a fixed date commercially workable for Mactores.
Forward-deployed engineer (FDE)
The Mactores specialist embedded with your team who owns architecture and cutover decisions and is personally accountable for the date. Each FDE has put agentic AI systems into production on AWS.
Fixed-date delivery
A cutover date written into the SOW, with Mactores paying for any delay it causes.
Fixed fee
One engagement price, set after scoping and agreed before build, in place of open-ended hourly billing.
Audit-grade lineage
Traceability from each Redshift column back to its source field and every transformation in between, documented well enough for an external auditor to follow unaided.
Parallel run

A period in which the legacy warehouse and Redshift process the same workloads, so outputs can be compared before users switch.

Validation harness
The automated test suite that proves the two warehouses agree, checking row counts, column checksums, aggregates and report outputs throughout the parallel run.
Distribution style and sort key
The table-design choices with the biggest effect on Redshift speed. Distribution style (AUTO, EVEN, KEY or ALL) places rows across compute nodes; the sort key orders data on disk so queries read fewer blocks.
Redshift Serverless, RG and RA3
The main Redshift deployment options. Serverless adjusts compute automatically with no cluster to manage; RG (AWS Graviton-based) and RA3 are provisioned node types with compute separated from managed storage.
Workload management (WLM)
Redshift's rules for how concurrent queries share memory and compute, including queue priorities and concurrency scaling for demand spikes.
Zero-ETL integration
Native AWS replication from Amazon Aurora, RDS or DynamoDB into Redshift, with no separate pipeline to build or maintain.
Amazon Redshift RSQL
Redshift's command-line SQL client, and the conversion target for Teradata BTEQ scripts.
Cutover
The moment reports, pipelines and users move from the legacy warehouse to Redshift.
Legacy retirement
Shutting down the old warehouse after Redshift is proven in production, including its licence, support contract and hardware.

The contract, in plain words

See the exact language behind the date and the fee.

Who pays when a cutover moves, written line by line.

Read the commitment

Is Mactores an AWS-Validated Amazon Redshift Partner?

Yes. AWS has validated Mactores for Amazon Redshift delivery, one of 17 AWS Service Validations the firm holds. AWS awards these only after assessing a partner's delivery work itself, so this is the part of the page you can confirm without relying on anything Mactores says.

Mactores is an AWS Premier Tier Services Partner, the top tier of the AWS Partner Network, and holds the AWS Agentic AI Specialization and the Generative AI Services Competency. Its seven AWS Consulting Competencies include Data and Analytics and Migration and Modernization, the two most relevant to moving a warehouse.

Beyond Redshift, the validations cover the services a migration touches from end to end: AWS Database Migration Service and AWS Glue for moving and transforming data, Amazon EMR for Hadoop estates, Amazon Kinesis and Amazon MSK for streaming, and Amazon QuickSight for reporting. Mactores has built on AWS since 2008.

aws-premier-tier-service-badge
Specialization
AWS Agentic AI Specialization
Partner tier
AWS Premier Tier Services
Most relevant here
Amazon Redshift Delivery
Service validations
17 Service Validations
Team
200+ AWS-certified FDEs
On AWS since
2008

7 Consulting Competencies

  • Migration and Modernization
  • DevOps
  • Data and Analytics
  • Machine Learning
  • AI Services
  • Healthcare
  • Manufacturing and Industrial Services
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Check it yourself

Verify every credential in AWS's own partner directory.

The tier, specialization, competencies and Redshift validation are all listed in AWS Partner Solutions Finder and on our partners page.

See the AWS partnership

FAQs

What does fixed-date, fixed-fee mean on a Redshift migration?
It means the cutover date and the total price are both fixed in the SOW before any build work starts. If Mactores causes a delay, Mactores covers the extra cost. If the delay comes from your side, such as access that isn't granted, a missed sign-off or a third party outside our control, that work is billed at the time-and-materials rate stated in the SOW.
How long does it take to migrate to Amazon Redshift?
Mactores engagements reach production in a median of 12 weeks, but your date depends on your warehouse. Object count, the amount of logic in stored procedures, data volume, downstream consumers and compliance scope all move it. Phase 1 turns those into a specific date in the SOW. Any duration quoted before that inventory exists is a guess.
How do you migrate Teradata to Amazon Redshift?
Teradata DDL, views and most SQL convert through AWS SCT, and BTEQ and FastExport scripts convert to Amazon Redshift RSQL. FDEs rewrite what the tool flags, usually macros and stored procedures, and watch for behavior differences that break reports silently. Teradata SET tables reject duplicate rows while Redshift tables don't, and Teradata string comparisons are often case-insensitive where Redshift's are case-sensitive by default. Primary index choices are remapped to Redshift distribution and sort keys based on how each table is actually queried.
How do you migrate Oracle to Amazon Redshift?
First we confirm the workload is analytical. Exadata warehouses and reporting schemas belong on Redshift; transactional Oracle systems usually belong on Amazon Aurora or Amazon RDS. For warehouse workloads, AWS SCT converts the schema, PL/SQL packages become Redshift stored procedures or AWS Glue jobs, and AWS DMS runs the full load and change capture. One difference we test for explicitly: Oracle treats an empty string as NULL, and Redshift does not.
How do you migrate SQL Server to Amazon Redshift?
AWS SCT converts the schema and T-SQL, and FDEs review stored procedures, identity columns and collation. SQL Server is commonly case-insensitive, and that changes query results if it isn't carried over deliberately. SSIS packages are rebuilt in AWS Glue or re-pointed, AWS DMS replicates changes during the parallel run, and Power BI, Tableau or SSRS reports are reconciled before cutover.
How do you migrate Netezza to Amazon Redshift?
AWS SCT converts Netezza DDL and SQL, and FDEs rewrite NZPLSQL procedures where conversion falls short. DISTRIBUTE ON choices map to Redshift distribution keys. Netezza leans on zone maps for scan reduction; Redshift gets the same benefit from zone maps on sorted data, so sort keys are designed from your real query predicates. Bulk loads move from nzload to COPY from Amazon S3.
Can you modernize a Redshift warehouse we already run?
Yes, under the same fixed-date, fixed-fee terms. Typical scopes are moving older provisioned clusters to RG, RA3 or Redshift Serverless, retuning distribution, sort keys and workload management, and replacing Python UDFs. AWS suspended execution of existing Python UDFs after June 30, 2026, so any warehouse still calling them needs those functions rebuilt as AWS Lambda UDFs or SQL UDFs.
Should we choose Redshift Serverless, RG or RA3?
Choose Serverless for spiky or unpredictable workloads, and provisioned RG or RA3 for steady, heavily used warehouses that benefit from reserved capacity. FDEs make the call with you in Phase 1 from measured query history, and the choice is fixed in the target architecture before the fee is set.
What do we receive as audit-grade lineage?
You receive a column-level map from every Redshift table and column back to its source field, including each transformation in between, in a format your data catalog can load. It is produced while the migration runs, so an auditor or examiner can trace a reported number to its origin without asking the delivery team.
Can you migrate regulated data such as PHI or broker-dealer records?
Yes. Lineage, reconciliation results and phase-exit sign-offs are built to serve as evidence under SOX, SEC and FINRA recordkeeping rules, FFIEC guidance, HIPAA, SOC 2 and GDPR. Access controls, encryption and audit logging on Redshift are tested before cutover, not after the first finding.
What happens to the old warehouse after cutover?
It is shut down once Phase 4 confirms Redshift is carrying production. Ending the licence, support contract and hardware is what turns the migration into a cost reallocation. Keeping the old warehouse running alongside Redshift indefinitely preserves the very bill the migration was meant to remove.
Can AWS funding reduce the cost of a Redshift migration?
Often, yes. For qualifying workloads, the AWS Migration Acceleration Program (MAP) can offset part of the migration cost. AWS sets the eligibility rules; Mactores checks them in Phase 1 and reflects any funding in the scoped propos
What information do you need to start scoping?
A few lines covering the source platform, the ETL and BI tools around it, a rough data volume, and the date you are working toward, such as a renewal, a hardware refresh or an audit deadline. No RFP is needed. Read-only access to query history and object metadata comes later, in Phase 1.
faq

Still deciding?

If your question isn't listed, it's probably the one that shapes your scope.

Put it to the FDE who would lead your migration. Thirty minutes, no slide deck.

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Have a Renewal Date or an Audit Deadline? Bring It to the First Call.

The strongest Redshift migrations start from a date the business already cares about: a licence renewal, an appliance going out of support, or an audit finding that needs closing. Bring that date and a rough picture of the warehouse, and the FDE who would run the work will tell you plainly whether it can be met.
Book a scoping call Email lets-talk@mactores.com
  1. 01

    Send a few lines covering the source platform, ETL and BI tools, rough size and your deadline. No RFP needed.

  2. 02

    We confirm fit and book time with the FDE who would carry the delivery commitment.

  3. 03

    Within five business days, you receive a scoping proposal with a fixed fee and a fixed date.