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Data Modernization & Lakehouses

Data Modernization & Lakehouses

Turn fragmented data environments into a scalable, governed foundation for analytics, AI, and long term growth. Modernize legacy platforms, improve trust in data, and make insight easier to access and use.

Unify fragmented data into one trusted foundation

Reduce platform complexity, cost, and processing friction

Build a lakehouse ready for analytics, AI, and scale

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All of it. Trusted.

The Challange

Legacy data platforms create more drag than insight

Description

Data is fragmented. No execution.

Data lives across disconnected tools and teams, making reliable delivery and decision making harder than it should be.

Costs scale without control

Legacy warehouses and inefficient pipelines become expensive fast, especially as volumes, use cases, and teams grow.

Vendor lock in. No sovereignty.

Rigid platform choices limit flexibility, raise switching costs, and make it harder to keep control of long-term architecture.

Legacy platforms block real decisions

Slow processing, poor quality, and unreliable access reduce trust in data and delay insight across the business.

Built for Scale

Clean, portable, governed data foundations for whatever comes next

Description

Built for CTOs, data leaders, platform teams, and business decision makers

Supports reporting, analytics, real-time pipelines, and AI workloads

Designed to reduce lock in and improve trust in data operations

Book a Data Platform Review

Book a Data Platform Review

Key metrics achieved

85%

fewer late night incident calls

90%

less manual provisioning

30%

savings unlocked for business growth

0

friction from code to cloud as the goal

Deliverables

The capabilities behind a modern data platform

Modern data platforms bring fragmented environments into one scalable, governed foundation that supports analytics, AI, and long term flexibility. From architecture and pipelines to governance and portability, every layer should be built for growth.

One unified view of data

Bring fragmented sources into one governed platform so teams can work from the same trusted foundations.

Portable by design

Reduce platform dependency and build data foundations that can move with changing requirements over time.

AI-ready data foundations

Set up the governance, architecture, and platform patterns needed for analytics, experimentation, and future AI workloads.

Trusted data for decisions

Improve governance, quality, and observability so analytics and AI can rely on cleaner, more consistent data.

Faster processing and pipelines

Modernize batch and real-time data flows to improve performance and reduce operational friction across the stack.

Open, future-proof architecture

Design data platforms that support analytics, AI, and evolving workloads without boxing the business into one rigid path.

Next Step

See what a modern data platform could look like in your environment

Talk to GOStack about lakehouse architecture, data governance, portability, and the fastest path to a more scalable, trusted foundation for analytics and AI.

Book a Data Platform Review

Book a Data Platform Review

From insight to action

Access practical resources, explore relevant customer stories, or talk to our team about the right next step for your platform.

Useful resources

AWS Big Data Blog

Practical guidance and architecture insights for modern data platforms.

Data Platform Migration

Our approach to moving from legacy platforms to scalable, cloud-native foundations.

Webinar

A deeper look at modern data architecture, migration and operational best practices.

Customer Story - AWS Lakehouse Migration

See how a modern data foundation translated into measurable business outcomes.

Edijs Drezovs

Discuss your next step with Edijs

Discuss your next step with Edijs

Talk through your current platform, priorities and constraints - and identify the most practical way forward.

Talk through your current platform, priorities and constraints - and identify the most practical way forward.

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Book a 45 minute call

Free assessment

Understand the current state, priorities and opportunities.

Workshop

Align stakeholders and define the target approach.

Pilot

Validate the solution with a focused, measurable use case.

Engagement

Build, migrate and operationalise at scale.

Case Studies

Proof that modern data foundations create real business leverage

Building a Deploy-Anywhere AI Platform for MetisJean on AWS

GOStack built a new production platform on AWS for MetisJean, an innovative sovereign intelligence software provider. The platform was created from the ground up and integrates DevOps practices with AI and data engineering. It provides a portable and secure foundation built on Amazon EKS with a GitOps workflow that allows MetisJean to deploy its AI product in any customer environment - whether on AWS, another cloud provider or on-premises.

Read case study

40%

Cost Reduction

85%

Manual Operations Reductions

100%

Sovereignty

MetisJean
MetisJean

Building a Deploy-Anywhere AI Platform for MetisJean on AWS

GOStack built a new production platform on AWS for MetisJean, an innovative sovereign intelligence software provider. The platform was created from the ground up and integrates DevOps practices with AI and data engineering. It provides a portable and secure foundation built on Amazon EKS with a GitOps workflow that allows MetisJean to deploy its AI product in any customer environment - whether on AWS, another cloud provider or on-premises.

40%

Cost Reduction

85%

Manual Operations Reductions

100%

Sovereignty

Read case study

MetisJean
MetisJean

MessageMatrix Scales AI-Powered Event Concierge with Amazon Bedrock

GOStack partnered with MessageMatrix to modernize its AI-powered event concierge platform for high-traffic conferences. By replacing a third-party RAG solution with a scalable, AWS-native architecture on Amazon Bedrock, GOStack reduced event onboarding time by 60% and onboarding costs by 45%. The new foundation enables self-service knowledge base management for organizers, supports thousands of attendee interactions during live events, and allows MessageMatrix to scale across verticals while introducing specialized AI agents.

Read case study

45%

Operational Cost Reduction

80%

Data Processing Speed Improved By

3X

AI Hallucinations Reduced

messagematrix-scales-ai-powered-event-concierge-with-amazon-bedrock
messagematrix-scales-ai-powered-event-concierge-with-amazon-bedrock

MessageMatrix Scales AI-Powered Event Concierge with Amazon Bedrock

GOStack partnered with MessageMatrix to modernize its AI-powered event concierge platform for high-traffic conferences. By replacing a third-party RAG solution with a scalable, AWS-native architecture on Amazon Bedrock, GOStack reduced event onboarding time by 60% and onboarding costs by 45%. The new foundation enables self-service knowledge base management for organizers, supports thousands of attendee interactions during live events, and allows MessageMatrix to scale across verticals while introducing specialized AI agents.

45%

Operational Cost Reduction

80%

Data Processing Speed Improved By

3X

AI Hallucinations Reduced

Read case study

messagematrix-scales-ai-powered-event-concierge-with-amazon-bedrock
messagematrix-scales-ai-powered-event-concierge-with-amazon-bedrock

Migrating from BigQuery to AWS: Yggdrasil Gaming’s Modern Lakehouse Journey

GOStack partnered with Yggdrasil Gaming to migrate their data analytics platform from Google BigQuery to a modern, open lakehouse architecture on AWS. The new platform, built on Amazon S3, Apache Iceberg, Amazon Athena and AWS Glue, reduced data processing costs by 60%, lowered analytics latency by 75% (from 2 hours to 30 minutes), and eliminated multi-cloud operational complexity, providing a scalable foundation for advanced AI/ML initiatives.

Read case study

60%

Data Processing Costs Reduced

4x

Processing Time Improved

100%

Sovereign

migrating-from-bigquery-to-aws-yggdrasil-gamings-modern-lakehouse-journey
migrating-from-bigquery-to-aws-yggdrasil-gamings-modern-lakehouse-journey

Migrating from BigQuery to AWS: Yggdrasil Gaming’s Modern Lakehouse Journey

GOStack partnered with Yggdrasil Gaming to migrate their data analytics platform from Google BigQuery to a modern, open lakehouse architecture on AWS. The new platform, built on Amazon S3, Apache Iceberg, Amazon Athena and AWS Glue, reduced data processing costs by 60%, lowered analytics latency by 75% (from 2 hours to 30 minutes), and eliminated multi-cloud operational complexity, providing a scalable foundation for advanced AI/ML initiatives.

60%

Data Processing Costs Reduced

4x

Processing Time Improved

100%

Sovereign

Read case study

migrating-from-bigquery-to-aws-yggdrasil-gamings-modern-lakehouse-journey
migrating-from-bigquery-to-aws-yggdrasil-gamings-modern-lakehouse-journey

Want to see more?

From iGaming platforms processing millions of events to FinTech companies cutting infra costs in half.

View more case studies

Testimonials

What clients value most is clarity, speed and trust in the data

We have handled the on-call shifts. We have also been the reason they were cancelled.

Testimonials

What clients value most is clarity, speed and trust in the data

We have handled the on-call shifts. We have also been the reason they were cancelled.

Talk to Expert

Talk to Expert

From Black Box to Full Control

We were using a third-party RAG. It was limited, nothing we could modify. GOStack built us a system we actually own and can grow with. This has opened up new possibilities and our clients can now self-serve.

Douglas Orr

CEO & Founder

MessageMatrix

MessageMatrix Logo

The Infrastructure for true AI Sovereignty

GOStack is our go-to partner. They gave us the infrastructure to deliver on our promise. We can now deploy in any customer environment, whether cloud or on-premises. Sovereignty is what makes us competitive.

Alexander Haywood

CEO & Founder

MetisJean

MetisJean Logo

Partnership for Years

GOStack runs our AWS infrastructure and data stack. We've scaled a lot and it all just works. That's what you want from a partner.

James Curwen

CEO

Yggdrasil Gaming

YGGDRASIL Logo

How we operate

A clear path from fragmented data to a governed modern platform

Data modernization creates the most value when architecture, governance,
pipelines and business usage stay connected.

1

1 to 2 weeks

Assessment

We review the current data estate, platform pain points, governance gaps, processing bottlenecks, and future requirements.

2

2 to 4 weeks

Target architecture

We define the lakehouse model, migration strategy, governance approach, and delivery roadmap for scale and portability.

3

Sprint based

Implementation

We build the data foundations, pipelines, quality controls, and observability layers needed for reliable operations.

4

Ongoing

Enablement

We help teams adopt the new platform, improve operating maturity, and keep data delivery efficient as use cases expand.

Build your lakehouse roadmap with GOStack

Talk about lakehouse architecture, governance, platform complexity, and the practical next steps toward a more scalable and trusted data foundation.

Google Meet Icon for button

Book a 45 minute call

Google Meet Icon for button

Book a 45 minute call

FAQ

Frequently Asked Questions

FAQ

Frequently Asked Questions

What does sovereign and secure cloud mean in practice?

It means building a cloud environment with stronger control over data, access, compliance, recovery, and operational risk. The goal is not only to make the environment safer, but also easier to govern, easier to recover, and more practical to operate as the business grows.

Can you help with compliance as well as technical security?

Yes. GOStack helps teams improve both the technical foundation and the operating model behind compliance. That includes architecture, access control, monitoring, recovery planning, and the practical steps needed to move toward requirements like ISO, SOC, and internal governance standards.

Will this mainly reduce risk or also improve delivery?

It should do both. Stronger cloud security is not just about lowering exposure. It also improves visibility, reduces operational uncertainty, and creates a more stable foundation for teams to ship and scale with confidence.

Do we need to rebuild everything from scratch?

No. In most cases, the better approach is to improve the current environment step by step. GOStack helps identify what needs to change first, what can stay, and how to reduce risk while moving toward a more secure and controlled cloud model.

Who is this service best suited for?

This service is a strong fit for teams that need better control over cloud security, compliance, access, recovery, and operational resilience. It is especially relevant for companies dealing with unclear security posture, growing compliance pressure, weak recovery readiness, or cloud environments that have become difficult to govern.

Let's talk

Ready to stop fighting your infra?

Book a 45 minutes free call. We’ll review your current setup, highlight the biggest quick wins and share what we would do next. No commitment, no sales pitch.

Edijs Drezovs
Edijs Drezovs

Founder & CEO

Connect on LinkedIn

+371 2675 6748

hello@gostack.eu

Submit request

Book a call

Meet GOStack

Let's talk

Ready to stop fighting your infra?

Book a 45 minutes free call. We’ll review your current setup, highlight the biggest quick wins and share what we would do next. No commitment, no sales pitch.

Edijs Drezovs
Edijs Drezovs

Founder & CEO

Connect on LinkedIn

+371 2675 6748

hello@gostack.eu

Submit request

Book a call

Meet GOStack

Let's talk

Ready to stop fighting your infra?

Book a 45 minutes free call. We’ll review your current setup, highlight the biggest quick wins and share what we would do next. No commitment, no sales pitch.

Edijs Drezovs

Edijs Drezovs

Founder & CEO

Connect on LinkedIn

+371 2675 6748

hello@gostack.eu

Submit request

Book a call

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