It's a low-code/no-code platform from ST IT Cloud that automates Data Lake construction on AWS, from data ingestion to governance.

Does Cloud Laker run in my AWS account?

Yes. All processing runs 100% within your AWS account, without moving data to external environments.

How long does it take to deploy a Data Lake with Cloud Laker?

With Cloud Laker, you can reduce deployment time by up to 70% compared to traditional methods.

Do I need a specialized technical team to use it?

No. The low-code/no-code interface allows data teams to configure pipelines without advanced infrastructure knowledge.

Does Cloud Laker integrate with my ERP/CRM?

Yes. Through APIs and native connectors, Cloud Laker integrates multiple data sources automatically.

What data formats are supported?

Structured and unstructured data in various formats: CSV, JSON, Parquet, relational databases, REST APIs, and more.

How does data governance work?

Cloud Laker implements automated governance policies: cataloging, lineage, access control, and auditing.

Does Cloud Laker support Machine Learning?

Yes. The generated Data Lake is optimized to feed ML and AI models with clean, governed, and scaled data.

What's the difference between Cloud Laker and building a Data Lake manually?

Cloud Laker eliminates rework, automates configurations and pipelines, and reduces risks of inconsistency and operational failures.

Is there support after deployment?

Yes. ST IT Cloud offers continuous support, monitoring, and environment evolution as new needs arise.

cloud data automation to power AI and Machine Learning

Reduce your data platform deployment time by up to 70%, without writing code.

Integrate data from multiple sources via API with speed, security, and scalability.

Data Lake on AWS cloud: reduce creation time by up to 70% with automation

Cloud Laker is a low-code/no-code platform that automates the entire Data Lake building process on AWS (from ingestion to governance), drastically reducing deployment time.

It eliminates technical complexity by automating configurations, pipelines, and governance policies, ensuring scalability, security, and standardization from the first deploy.

With API integration, Cloud Laker connects multiple data sources in a few clicks. Ingestion is automated, auditable, and adaptable to existing architecture.

The Data Lake on AWS centralizes structured and unstructured data in a single repository, enabling advanced analytics, AI models, and Machine Learning with high performance.

Running 100% within your AWS account, Cloud Laker delivers modern, secure infrastructure ready for AI applications, real-time analytics, and unlimited expansion.

Data automation to scale your Data Lake and AI on AWS

Automated Data Lake setup in hours, not weeks

Eliminate weeks of manual configuration with complete automation of infrastructure, pipelines, and governance policies.

Native governance from the first deploy

Cataloging, data lineage, access control, and auditing already integrated into the platform from the start.

100% within your AWS account with full control

All data and processes run in your own AWS account, without moving information to external environments.

Real results from those who accelerated their data and AI journey with Cloud Laker

From raw data to intelligent decisions: automate, scale and extract value in record time.

Com o Cloud Laker, a Elos, uma das maiores empresas de Previdência Complementar do país, reduziu em 70% o tempo de implantação de seu Data Lake na AWS. A plataforma eliminou retrabalho, acelerou a integração com múltiplas fontes e entregou uma base de dados confiável, escalável e pronta para IA e análises em tempo real.

Thiago Andrade

Data Management Specialist

“We needed a scalable, centralized structure to eliminate silos and information noise.

With Cloud Laker, we quickly connected to our AWS account, consumed ERP APIs, and automated key processes.

What used to take days, we now execute in minutes.”

Hybrid Cloud, Multi-Cloud, or Private: which model generates the most value for your business?

With Cloud Laker, your company maintains full control and security: all processes run 100% in your AWS account, without moving data to external environments.

Native and simplified data governance

Ensure compliance and reduce risks with automated governance from the source, within your own AWS account.

Cloud data cost optimization

Maximize ROI with efficient infrastructure usage, zero waste, and full cost predictability.

Fully automated pipelines

Automate ingestion, transformation, and data orchestration on AWS, eliminating rework and accelerating deliveries.

Data ready for AI and Machine Learning

Get reliable, governed data ready for advanced analytics, AI models, and real-time insights.

High-level scalability and performance

Scale on demand and maintain consistent performance across your entire AWS environment.

Cost reduction and acceleration of your Data Lake setup

How does data automation increase ROI and eliminate operational bottlenecks?

Companies working with high data volumes waste time and resources on rework, manual integrations, and fragmented pipelines. This delays deliveries, increases operational costs, and reduces analytics accuracy.

With Cloud Laker, the entire cycle (ingestion, standardization, governance, and Data Lake operation) is automated within AWS, ensuring speed, consistency, and high performance for Analytics, AI, and Machine Learning projects.