AWS Data Services
Build an AI-ready data foundation on AWS.
Migrate, modernize and govern your databases and analytics on AWS with a validated AWS Data Competency Partner, so your data is secure, scalable and ready to power AI.
![]() |
Migrate
We move legacy and commercial databases to Amazon RDS, Aurora and purpose-built AWS databases with minimal downtime and no data loss. |
![]() |
Modernize
We replace fragmented systems with unified, governed data platforms, including data lakes, lakehouses and analytics that scale with your business |
ActivateWe turn your data into an AI-ready asset that powers analytics, generative AI and agentic AI use cases in production. |
Why work with us?
Partner with AWS-validated data specialists who turn complex data estates into clear business advantage.
A free 30-minute call to review your current databases and data platforms, understand your goals, and identify the stakeholders for a deeper assessment.
We map your data landscape, prioritize the workloads with the highest impact, and share AWS best practices for migration, security and governance. Our engineers scope the target architecture, from database engine selection to high availability, disaster recovery and performance tuning.
We work with your team on a phased roadmap that moves your data into production on AWS, manages risk, keeps costs predictable, and prepares your platform for AI.
Smarter Data Starts with AWS
Every AI initiative depends on the data underneath it. According to Gartner, more than 75% of organizations are prioritizing investment in AI-ready data, yet 90% of Chief Data and Analytics Officers say their data architecture needs an overhaul. AWS offers the broadest set of managed database and analytics services to close that gap, including relational, NoSQL, in-memory, graph and lakehouse options, all with enterprise-grade security built in.
As an AWS Data Competency Partner, Nebulane has been validated by AWS data specialists for its technical expertise and proven customer success in building data solutions on AWS. From database migration to governed, AI-ready platforms, we help organizations across the UAE, Saudi Arabia and Lebanon get more value from their data, faster.
Generative AI Best Practices
Enable personalized experiences, optimize workflows, and uncover insights that drive growth
Data Analytics Platforms
Integrated tools for end-to-end analytics, from ingestion, storage and processing to orchestration, security and querying.
|
Relational Databases
|
Specialized Databases
Purpose-built NoSQL databases on AWS, covering document, key-value, graph, time-series, in-memory and ledger, each optimized for its workload.
|
![]() |
Data Integration and Preparation
Provide ETL, data replication/CDC, data quality, preparation/cleansing, schema discovery, and pipeline orchestration across batch and streaming modes.
|
BI and Data Visualization
Reporting, dashboards, embedded analytics, natural language queries and AI-powered insights, enabling self-service exploration and faster, shared decisions. |
Data Governance and Security
Catalog, classify, protect and govern your data on AWS, with compliance, lineage, access control and quality at enterprise scale across cloud and hybrid environments.
|
Customer Success Stories
As an AWS Data Competency Partner, we’re proud to share how organizations are modernizing their data on AWS to run faster, reduce costs, and build a foundation for AI.



