data automation in the cloud to drive AI and Machine Learning
Cut your data platform deployment time by up to 70%, without writing code.
Integrate data from multiple sources via API quickly, securely and at scale.
Data Lake on AWS cloud: cut the creation time by up to 70% with automation
Cloud Laker is a low-code/no-code platform that automates the entire process of building Data Lakes on AWS (from ingestion to governance), drastically reducing deployment time.
See some case studiesIt removes technical complexity by automating configurations, pipelines and governance policies, ensuring scalability, security and standardization from the first deployment.
With API integration, Cloud Laker connects multiple data sources in a few clicks. Ingestion is automated, auditable and adaptable to the 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% inside 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
Zero infrastructure complexity
Eliminate manual configuration and reduce operational effort: the entire Data Lake, ingestion and governance foundation comes standardized and ready to use.
End-to-end automation
Fully automated pipelines, ingestion, ETL and governance. You speed up deliveries, reduce errors and free the team for strategic initiatives.
On-demand scalability
Grow without limits, paying only for what you use. Adjust capacity in real time to support analytics, AI and operational peaks.
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.
With Cloud Laker, Elos, one of the largest Supplementary Pension companies in the country, reduced the deployment time of its Data Lake on AWS by 70%. The platform eliminated rework, accelerated integration with multiple sources, and delivered a reliable, scalable data foundation ready for AI and real-time analytics.
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 run in minutes.”
Hybrid Cloud, Multi-Cloud or Private: which model delivers the most value for your business?
With Cloud Laker, your company keeps full control and security: all processes run 100% in your AWS account, without moving data to external environments.
Native, simplified data governance
Ensure compliance and reduce risk with automated governance from the source, inside your own AWS account.
Cost optimization for cloud data
Maximize ROI with efficient use of infrastructure, zero waste and full cost predictability.
Fully automated pipelines
Automate data ingestion, transformation and orchestration on AWS, eliminating rework and speeding up deliveries.
Data prepared for AI and Machine Learning
Get reliable, governed data ready for advanced analytics, AI models and real-time insights.
High-level scalability and performance
Grow with demand and keep consistent performance across AWS.
Cost reduction and faster setup of your Data Lake
How does data automation increase ROI and eliminate operational bottlenecks?
Companies working with high data volumes lose time and resources on rework, manual integrations and fragmented pipelines. This delays deliveries, increases operating costs and reduces the accuracy of analyses.
With Cloud Laker, the entire cycle (ingestion, standardization, governance and Data Lake operation) is automated inside AWS, ensuring speed, consistency and high performance for Analytics, AI and Machine Learning projects.
Lower operating costs
Eliminate manual tasks and repetitive processes with automated, standardized pipelines.
Zero rework
Reliable integrations prevent errors, inconsistencies and duplication in data processing.
Faster time-to-insight
Data ready for analysis in less time, enabling faster and more accurate decisions.
On-demand scalability
Governed, standardized data speeds up AI projects, increasing performance and return.
FAQ
Frequently Asked Questions
Turn your data into competitive advantage with Cloud Laker
Optimize costs, eliminate silos and ensure speed and governance for your data platform on AWS.