Move and run your data on AWS with confidence. Our database specialists handle setup, tuning, backups and day-to-day support across every major AWS database engine — from first planning through migration to long-term managed care.
Data is core to every application, but few teams want their engineers tied up managing infrastructure instead of building products. Eternal runs a Database-as-a-Service model for its clients, taking on the infrastructure and software management a database needs — at lower cost and with fewer resources than an in-house team.
Our migration experts help you move your application's database to AWS at a fraction of the cost of a full-time DBA team — whether that's Amazon RDS across six database engines or a specialised engine built for your application's exact needs, with minimal downtime.
Migrate to AWS seamlessly and securely with our managed support for AWS DMS. Our migration experts oversee the entire process — homogeneous migrations like MySQL to MySQL and heterogeneous migrations like MySQL to Aurora — with the least possible downtime.
Keep pace with your agile development team by modernising legacy databases that hold your application back from its full potential — implementing the latest database engines and a scalable setup built for growth.
We deliver robust AWS database services that add security, flexibility and scalability to your stack — across relational, NoSQL, in-memory, graph and ledger engines.
A relational database built for higher performance, superior security and enhanced availability — compatible with PostgreSQL and MySQL, designed to be fast, safe and always on.
A fully managed relational database service that lets you run and scale your database in the cloud in just a few clicks, across six supported engines.
Uses SQL to analyse structured and semi-structured data across operational databases, data warehouses and data lakes, leveraging AWS-designed hardware and ML for the best price-performance at scale.
A fully managed, serverless, flexible NoSQL database built for high-performance apps, with built-in security, backups, multi-region replication and in-memory caching.
A Memcached-compatible, in-memory key-value service you can use as a data store or a cache, delivering the performance and simplicity Memcached is known for.
A blazing-fast in-memory data store offering sub-millisecond latency for internet-scale, real-time applications, built on the open Redis data format.
A highly scalable, durable, fully managed database service purpose-built for running mission-critical MongoDB-compatible workloads.
A highly available, managed, Apache Cassandra-compatible database for low-latency applications — no servers to manage and no extra security work required.
A fast, fully managed graph database service powering use cases like knowledge graphs, identity graphs and fraud detection, using open APIs including openCypher, Gremlin and SPARQL.
A fast, scalable, serverless time-series database built for IoT and operational applications, with auto-scaling and built-in data lifecycle management.
A fully managed ledger database offering a transparent, immutable and cryptographically verifiable log of every data change, ideal for auditable transactional history.
We've helped businesses across these industries put AWS database services and AWS migration services to work.
Our AWS database managed services, AWS database migration and Amazon relational database services come with their own set of unique benefits.
Complete oversight of your database environment — from setup and configuration through ongoing operations and support.
Enterprise-grade database solutions built to meet the reliability and compliance needs of large-scale organisations.
Distribute database components across regions and services for greater resilience and better performance.
Scale your database resources up or down instantly to match changing workload demands.
Pay only for the database capacity you actually use, cutting infrastructure spend versus self-managed setups.
Offload day-to-day database administration to us, freeing your in-house team to focus elsewhere.
An expert team of dedicated AWS database specialists and industry professionals — delivering AWS database services, migration and modernisation successfully, end to end.
Full protection of your data and intellectual property across every database engagement.
Full visibility into progress, decisions and delivery at every stage of your database project.
Rigorous QA and review before any database change reaches production.
Standing technical support long after your database goes live.
Every engagement covered by a signed non-disclosure agreement.
Backup and restoration built into every database project we run.
Clear scope and pricing agreed before work begins — no surprises.
Overlap with your timezone and working hours, wherever you are.
Look at our clients' honest feedback to know why they leverage and value our services.
Large scale MongoDB development delivering multi type content within complex collections with embedded typing and logic and in multiple languages on AWS. Technically complex but delivered faultlessly. Thanks everyone at Eternal, job very well done!
The Eternal team did an excellent job setting up our application. It was a complex scenario with several legacy issues, but they worked swiftly and communication was excellent, all managed through a very helpful online project management system. I will definitely be using them again in the future
Great team to work with, they fixed a very difficult problem which 5 other coders could not figure out. They did in an hour. Amazing team, will hire again for future projects.
Let us explore Eternal client stories enabling projects with AWS DB Services, Amazon Relational Database Services and AWS Database Migration Services.
We had a customer who wants to send 100K Emails in 24 hours with his existing application but he was not able to do it and can’t find a solution for this. Then once he talked to...
Read case study →
Voxel Readers is a cloud-based medical reporting platform used by doctors, radiologists and clinics to generate, upload and download patient reports securely.
Read case study →AWS provides a comprehensive suite of database services for a wide range of application needs. Amazon RDS simplifies management of traditional relational databases, while Amazon Aurora offers enhanced performance and scalability. For NoSQL workloads, Amazon DynamoDB is a fully managed, ultra-fast option. AWS also includes Amazon Redshift for data warehousing, Amazon DocumentDB for document databases, and Amazon Neptune for graph-based datasets — alongside tools like Amazon ElastiCache and Amazon Keyspaces for flexible, secure and cost-efficient data management.
A data lake is a centralised repository that lets you store structured and unstructured data at any scale. AWS data lakes are commonly used to improve customer service models, run sentiment analysis and power broader analytics — storing raw data from sources like IoT devices, social media and website clickstreams so you can build machine learning models without first structuring the data.
Amazon Redshift is built for cloud-based big data analytics and business intelligence. It supports standard SQL to query exabytes of structured and semi-structured data across data warehouses, operational databases and data lakes, with seamless integration into services like Amazon Athena, EMR and SageMaker.
AWS databases can be deployed using Multi-AZ architecture, which replicates data across geographically isolated Availability Zones. Changes made to one database instance are automatically replicated to another, ensuring high availability, real-time synchronisation, improved fault tolerance and reduced data loss during failures.
Yes — Amazon Quantum Ledger Database (QLDB) is a fully managed, cryptographically verifiable and immutable transaction log. It removes the complexity of blockchain infrastructure while providing a transparent, auditable record of every data change, which benefits industries like retail, supply chain and financial services.
AWS supports multiple database types, including relational databases like Amazon RDS and Aurora, NoSQL databases such as DynamoDB and Amazon Keyspaces, in-memory databases like Amazon ElastiCache, graph databases with Amazon Neptune, and time-series databases with Amazon Timestream — letting businesses match the right engine to each workload.
Have questions about your AWS database project? Share your requirements and our AWS database specialists — spanning RDS, Aurora, DynamoDB and beyond — will get right back to you.
