storage Petabyte-Scale on AWS

AWS Redshift Development

Fast, cost-effective warehousing that sits natively inside your AWS estate — tuned clusters, S3 data lakes and automated ETL.

info What Is Redshift?

The Warehouse That Lives in Your AWS

Amazon Redshift is a columnar, massively parallel data warehouse built for analytics on petabytes. Its real advantage is gravity: if your data already lands in S3 and your apps already run on AWS, Redshift is the shortest path from raw events to a dashboard.

It rewards good design more than most platforms. Distribution keys, sort keys and workload management are the difference between a cluster that answers instantly and one that crawls — which is where most of our engagements start.

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Native to Your AWS Estate

S3, Glue, Kinesis, IAM and VPC all wire together with no third-party connectors in the middle.

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Columnar & Parallel

Compressed column storage across many nodes — analytical scans read only what they need.

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Predictable Economics

Reserved capacity and Serverless both available — pick a fixed bill or a usage-based one.

auto_awesome Why Redshift?

Engineered for AWS Analytics

The capabilities that make Redshift the default warehouse for AWS-native teams.

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Columnar MPP Engine

Compressed columns spread across nodes — scans touch a fraction of the bytes a row store would.

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Redshift Spectrum

Query exabytes sitting in S3 directly, without loading them into the cluster first.

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Redshift Serverless

Skip cluster sizing entirely and pay only for the capacity your queries actually consume.

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tune

Workload Management

Queues and concurrency scaling keep the CEO's dashboard fast while a big ETL job runs.

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Redshift ML

Train and invoke SageMaker models from SQL — predictions without a separate pipeline.

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VPC & IAM Security

Private networking, KMS encryption and IAM roles — it inherits the controls you already run.

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End-to-End Redshift Services

From cluster design to the queries that were quietly costing you a fortune.

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architecture

Cluster & Schema Design

Distribution keys, sort keys and node sizing chosen for how your queries actually run.

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Migration

Move from on-prem Oracle, Teradata or SQL Server onto Redshift with validated parity.

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AWS Glue & S3 ETL

Automated ingestion from S3, Kinesis and RDS — clean, tested data landing on schedule.

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speed

Performance Tuning

Vacuum, analyze, WLM tuning and query rewrites for clusters that have slowly gone bad.

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savings

Cost Optimisation

Right-sizing, reserved nodes vs Serverless, and killing the scans nobody knew were running.

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leaderboard

BI Integration

QuickSight, Power BI and Tableau connected to a modelled layer the business trusts.

Ready to Get More From Redshift?

Whether you're migrating in or rescuing a cluster that's slowed to a crawl, our engineers can help.

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Frequently asked questions

What is Amazon Redshift used for? expand_more
Redshift is the managed AWS data warehouse for running fast analytics on large datasets, powering dashboards, reporting and data science across billions of rows using familiar SQL.
Can you migrate us to Redshift? expand_more
Yes. We move data from on-premise warehouses and other clouds, redesign schemas for columnar storage, and rebuild pipelines and reports with validation at each step.
How do you optimize Redshift performance? expand_more
We tune distribution and sort keys, compression, workload management and materialized views, and right-size the cluster or use Redshift Serverless, so queries stay fast and costs stay predictable.
Does Redshift integrate with the AWS ecosystem? expand_more
Yes. It works natively with S3, Glue, Kinesis, QuickSight and Lambda, so we can build end-to-end pipelines and analytics entirely within your AWS account.