AWS data and analytics
AWS data and analytics services, from migration to pipelines and warehouses
AWS data and analytics services move your data onto AWS, connect it through pipelines, and land it in databases and warehouses that reporting and AI can use. HabileLabs, an AWS Advanced Tier Services Partner that holds the Amazon RDS Service Delivery validation, moved 35+ TB of legacy document data to AWS for Aavas Financiers in a phased lift-and-shift migration.
- AWS Partner, Advanced Tier Services
- Amazon RDS Service Delivery validation, audited by AWS
- 50+ AWS certifications, Data Engineer among them
From our AWS case studies
Three figures from our AWS data work
NBFC · Cloud migration
35+ TB
of legacy document data moved to AWS in a phased lift-and-shift migration
Aavas FinanciersSaaS · Amazon RDS
15 min
defined RTO on Amazon RDS for PostgreSQL, with a defined RPO of 30 minutes and 7-day backup retention
iSEEitSaaS · Agentic AI on Amazon Bedrock
42% → 85%
opportunities with complete MEDDPICC data within 6 months, in an agentic AI build on Amazon Bedrock
iSEEit
Figures are quoted from each published case study. Aavas Financiers' 35+ TB was document data moved as part of a wider AWS migration. iSEEit's 42% → 85% is the data side of an AI project; its 15-minute RTO and 30-minute RPO are the defined recovery targets of a Single-AZ database.
Data on AWS, stage by stage
From the first migration to the first model
Five stages, each with the AWS services involved and a fact from a published case study. Most of our AWS data work sits inside a wider cloud or AI project, so each example names the client and the part that was data work.
Move
Move the data onto AWS
Move databases from on-premises or other clouds with AWS Database Migration Service (AWS DMS) and the AWS Schema Conversion Tool (AWS SCT), planned for minimal downtime.
AWS services
- AWS DMS
- AWS SCT
- AWS Application Migration Service
At EHCC (Eternal Hospital)
Servers rehosted, databases moved with rollback paths, and an auto-scaling app tier on managed Multi-AZ databases.
Store
Run it on managed databases
Managed relational databases on Amazon RDS, with automated maintenance, encryption and failover, and recovery targets decided up front.
AWS services
- Amazon RDS
- Amazon Aurora
- Amazon DynamoDB
- AWS KMS
At iSEEit
Amazon RDS for PostgreSQL in a production-grade configuration, with separate customer managed keys (CMKs) for production and non-production. RTO of 15 minutes, RPO of 30 minutes and 7-day backup retention.
Connect
Keep systems in sync with pipelines
ETL workflows and data pipelines that move data between systems and into analytics stores, including streaming data with Amazon Kinesis.
AWS services
- AWS Glue
- Amazon Kinesis
- Amazon S3
At Dr. B. Lal Clinical Laboratory
AWS Glue orchestrates secure ETL workflows between multiple LIMS, keeping data synchronized in real time.
Analyze
Report on the data where it lives
Reporting and business intelligence on top of the data, in Amazon QuickSight or on an analytics database that sits next to the transactional systems.
AWS services
- Amazon QuickSight
- Amazon Redshift
- ClickHouse on Amazon EC2
At RCM World
ClickHouse deployed on Amazon EC2 for fast, scalable reporting and business intelligence, tightly integrated with transactional systems, with Amazon RDS for PostgreSQL as the database.
Apply AI
Give models and agents data they can use
Data pipelines and warehouses that feed model training, analytics and real-time decisions, with Amazon SageMaker for custom models and Amazon Bedrock for generative AI.
AWS services
- Amazon Bedrock
- Amazon SageMaker
- Amazon OpenSearch Serverless
At iSEEit
Amazon Bedrock Knowledge Bases provide retrieval over each tenant's deal history and playbooks, with Amazon OpenSearch Serverless as the vector store and Amazon S3 holding documents under tenant-scoped prefixes.
Not sure where your data should land?
The free modernization assessment recommends a path for each application, with a view of cost, effort and timeline.
The AWS data stack
The AWS data services we work with
Named on our AWS and data pages and in our published case studies. AWS SCT, Amazon Aurora, Amazon Redshift, Amazon Kinesis and Amazon QuickSight appear on our service pages only: no published case study on this site names them.
Migration
Databases moved from on-premises or other clouds, planned for minimal downtime.
Databases
Managed relational databases, and NoSQL for high-volume metadata.
Warehouses and storage
Aging data warehouses onto Amazon Redshift; data, backups and retention on Amazon S3 and AWS Backup.
Pipelines and streaming
ETL workflows between systems, and streaming data for real-time decisions.
Analytics and BI
Dashboards and reports, and analytics databases next to transactional systems.
Machine learning and generative AI
Custom models, generative AI and retrieval grounded in your own data.
More on Amazon RDS managed services and AI services on AWS.
Where to start
Planning a move, or already running data on AWS?
Two ways to begin, depending on where your data is today.
Free
AWS modernization assessment
A workload inventory, a dependency map, a pathway recommendation per application (rehost, replatform, refactor or mainframe modernization) and a modernization calculator view of cost, effort and timeline, plus an AWS modernization funding eligibility check.
Get a free modernization assessmentAlready on Amazon RDS
Amazon RDS setup review
Get a review of your Amazon RDS setup from the team that holds the Amazon RDS Service Delivery validation, audited by AWS. Our Amazon RDS service covers architecture, deployment and migration, performance, security and compliance, backup and recovery, and 24/7 monitoring.
Get a review of your Amazon RDS setup
Partner credentials
Our AWS partner credentials
HabileLabs is an AWS Advanced Tier Services Partner, a tier AWS awards for technical expertise, customer references, certified staff and practice maturity.
The Amazon RDS Service Delivery validation is the data-specific one. A Service Delivery validation covers one AWS service and requires an AWS audit of customer work we delivered.
The AWS AI Services Competency was awarded on 12 September 2025. See all AWS competencies and validations.
- AWS service delivery validations
- 9
- AWS customer launches
- 200+
- AWS certifications
- 50+
Keep exploring
Related services
Amazon RDS managed services
Architecture, deployment and migration, security, backups and 24/7 monitoring for Amazon RDS.
Amazon RDS servicesDatabase migration and modernization
Legacy and self-managed databases moved onto managed platforms, with the data intact.
Database migrationData engineering
Data architecture, integration and ETL pipelines, big data processing and real-time streaming.
Data engineeringData analytics and BI
Dashboards and reports in Power BI, Tableau and Amazon QuickSight.
Data analytics and BIAI services on AWS
Production AI on Amazon Bedrock and SageMaker, from use-case selection to governed agents.
AWS AI services
AWS data FAQs
AWS data and analytics, answered
What the work covers, which AWS services we use and what our AWS credentials mean.
They cover moving data onto AWS, running it on managed databases such as Amazon RDS, connecting systems with pipelines such as AWS Glue, and making the data usable for reporting, analytics and AI. HabileLabs does data migration, pipelines and scalable data warehouses on AWS.
HabileLabs is an AWS Advanced Tier Services Partner and holds the Amazon RDS Service Delivery validation, one of its nine AWS Service Delivery validations. A Service Delivery validation covers one AWS service and requires an AWS audit of delivered customer work.
AWS DMS and AWS SCT for migration; Amazon RDS, Amazon Aurora and Amazon DynamoDB for databases; Amazon Redshift and Amazon S3 for warehouses and storage; AWS Glue and Amazon Kinesis for pipelines; Amazon QuickSight for BI; and Amazon SageMaker and Amazon Bedrock for machine learning and generative AI.
We move databases from on-premises or other clouds with AWS Database Migration Service (AWS DMS) and the AWS Schema Conversion Tool (AWS SCT), planned for minimal downtime. At EHCC (Eternal Hospital), databases were moved with rollback paths.
For Aavas Financiers, a phased lift-and-shift migration moved 35+ TB of legacy data to AWS, optimized for cost and performance. It was document data: DocuSwift, our document management system on AWS, now handles access, search and workflows across those 35+ TB of financial records.
We offer it: we move Oracle, SQL Server and aging data warehouses onto Amazon RDS, Aurora and Redshift, with schema conversion and validation handled before a single query moves. No published case study on this site covers a Redshift migration.
Yes. Amazon QuickSight is one of our BI tools, alongside Power BI and Tableau. For RCM World, we deployed ClickHouse on Amazon EC2 for reporting and business intelligence, integrated with its transactional systems.
Not on its own. Moving to managed databases builds the foundation, but data quality, governance, lineage and access controls still need their own work. At iSEEit, Amazon Bedrock Knowledge Bases retrieve over each tenant's deal history and playbooks, with Amazon OpenSearch Serverless as the vector store.
Yes. HabileLabs is a Microsoft Solutions Partner for Data & AI and a Databricks partner, and works with Microsoft Fabric and Power BI as well as the AWS data stack.
Next step
Moving data or a warehouse to AWS?
Tell us what you run today and where the data needs to go. The free modernization assessment recommends a path for each application and checks your eligibility for AWS modernization funding.
- Inventory and dependency map
- A path for each application
- Funding eligibility check