Break free from expensive database engines and migrate to the cloud with AWS Databases.

Migrate off restrictive, expensive commercial databases, and enter a whole new world of innovation and agility with Amazon Database.

Entering a purpose-built database era

IT leaders need to look for ways to get more value from their data. If you’re running legacy databases on-premises, you’re likely finding that provisioning, operating, scaling, and managing databases is tedious, time-consuming, and expensive. You need modernized database solutions that allow you to spend time innovating and building new applications—not managing infrastructure.

Moving on-premises data to managed databases built for the cloud can help you reduce time and costs. Once your databases are in the cloud, you can innovate and build new applications faster—all while getting deeper and more valuable insights.

 
 

Why Should You Migrate Your Database to AWS?

Migrate off commercial engines, such as Oracle or SQL Server. And focus on building high-quality Software as a Service (SaaS) applications.

High performance and scalability
Use relational databases 3-5X faster than common alternatives, or non-relational databases that give you sub-millisecond latency in microseconds. Start small and scale with the growth of your applications. You can easily scale the capital for processing and storing the database, often with no downtime. Thanks to the optimization of purpose-built databases for the data model you need, the applications can scale up a 1/10 cost versus commercial databases, and perform better.

Purpose-built Databases
Select from 15 purpose-built database engines including databases relational, key-value, document in-memory, graph time series, and ledger. AWS's purpose-built database portfolio supports a range of data models and helps you to create use case guided, highly scalable, distributed applications. Through choosing the right database to address a particular problem or collection of issues, you can break away from the rigid one-size-fits-all monolithic databases and concentrate on designing applications to suit your business needs.

Built for Enterprise-Class
AWS databases are designed for enterprise-critical workloads, offering high availability, reliability, and security. These databases enable multi-region, multi-master replication and provide complete protection of your data with multiple security levels, including network security isolation using Amazon VPC, encryption at rest using keys you create and control through AWS Key Management Service (KMS), as well as encryption-in-transit.

Fully Managed Databases
With fully managed resource provisioning, maintenance, and backups, you no longer have to worry about database management and can focus on driving greater business value for you and your customers.

AWS Database services

AWS offers a broad range of database services that are purpose-built for every major use case. These services are fully managed and allow you to build applications that scale easily. All of these services are proven to provide deep functionality—so you get the availability, performance, reliability, and security required for production workloads.


Relational Databases

Amazon Aurora: MySQL and PostgreSQL-compatible relational database built for the cloud. Combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases.
Amazon Relational Database Service (RDS): makes it easy to set up, operate, and scale relational databases in the cloud. Provides cost efficient and resizable capacity while automating time-consuming administration tasks. Offers seven familiar database engines, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle Database, and SQL Server.
Amazon Redshift: a cloud data warehouse that extends data warehouse queries to your data lake, with no loading required. Run analytic queries against petabytes of data stored locally and directly against exabytes of data stored in Amazon S3.
Use Cases: ERP apps, CRM, Finance, Transactions, Datawarehousing.
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Key-Value Databases

Amazon DynamoDB:Fully managed, key-value and database that delivers single-digit millisecond performance at any scale. Fully managed, multi-region, multi-master database with built-in security, backup and restore, and in-memory caching.
Use Cases: Real-time bidding, Shopping cart, Product catalog,
Customer preferences.
 
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In-memory Databases

Amazon ElastiCache for Redis:
Blazing fast, fully managed in-memory data store compatible with Redis. Provides sub-millisecond latency to power internet-scale, real-time applications.
Amazon ElastiCache for Memcached:

Fully managed, in-memory key-value store service compatible with Memcached. Can be used as a cache or a data store. Delivers the performance, ease-of-use, and simplicity of Memcached.
Use Cases:  Caching, Session store, Gaming, Leaderboards, Geospatial services, Pub/sub, Real-time streaming.
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Time-series Databases

Amazon Timestream: Scalable, fully managed, fast time-series database service for IoT and operational applications. Makes it easy to store and analyze trillions of events per day at 1/10th the cost of relational databases.
Use Cases:  DevOps, Application monitoring, Industrial telemetry, IoT applications.
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Ledger Databases

Amazon Quantum Ledger Database (QLDB): Fully managed ledger database that provides a transparent, immutable, and cryptographically verifiable transaction log owned by a central, trusted authority. Tracks each and every application data change and maintains a complete and verifiable history of changes over time.
Use Cases:
Finance - Keep track of ledger data such as credits and debits.
Manufacturing - Reconcile data between supply chain systems to track full manufacturing history.
Insurance - Accurately track claims history.
HR and payroll -Track and maintain a record of employee details.
Retail - Maintain an accurate log of inventory.
 
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Document Databases

Amazon DocumentDB: Fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. Designed from the ground up for mission-critical performance, scalability, and availability.
Use Cases: Catalogs, Content management systems, User profiles/personalization, Mobile. 
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Graph Databases

Amazon Neptune: Fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets.
Use Cases:  Fraud Detection, Social networking, Recommendation engines, Knowledge graphs, Data lineage.
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Achieve database freedom by migrating to Amazon Aurora

Thousands of companies have eliminated the exorbitant costs of commercial licenses by moving to modern cloud platforms on AWS with the help of the Database Freedom program. AWS makes it easy to drop your old-guard commercial databases, embrace the power of the cloud, and modernize your databases and applications.

FORT CLOUD can help you to start your managed database services on AWS and to enable your developers and database architects to focus on driving business value, not database maintenance. 

Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that provides the security, availability, and reliability of commercial databases at 1/10th the cost. It is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups.

  • High Performance and Stability.
  • High Availability and Durability.
  • Highly Secure.
  • MySQL and PostgreSQL Compatible.
  • Fully Managed.
  • Migration Support.

 Read more about Application Development on Amazon Aurora >> 

About Amazon Aurora

Amazon Aurora is the fastest-growing service in the history of AWS. In 2015, Amazon Aurora already had thousands of customers including enterprises like NBC Universal, PG&E, and the United Nations. In 2016, the number of customers grew by three and a half times with household names like Netflix, LexisNexis, and Ticketmaster joining the list, and in 2017, the number of customers more than doubled with organizations like Expedia, NASDAQ, Verizon, CBS Interactive, Dow Jones, and Hulu running their business-critical workloads on Amazon Aurora. Today, AWS has tens of thousands of customers from enterprises to startups running their applications on Amazon Aurora. 

Accelerate your migration with the Database Freedom program

The Database Freedom program from AWS makes it easier than ever to migrate old-guard database engines to AWS native engines such as Amazon Aurora. FORTE CLOUD will help you meet your migration goals by providing resources including guidance on the application architecture, migration strategies, program management, and customized training.

 

Start Your Journey to AWS Databases Today

Connect with us to start the AWS Database Freedom, a unique program designed to assist qualifying customers migrating from traditional database engines to built-for-the-cloud databases on AWS.