Category: Database

The use of commercial databases like Oracle DB and middleware like Oracle WebLogic can become blockers in a company’s migration journey to AWS. Customers find the licensing and maintenance of commercial applications expensive, and are often locked in between license renewals of Oracle DB. Learn how Hexaware leverages its well-defined migration methodology and automated cloud migration and management platform Amaze for replatforming of legacy applications.

Migrating a company’s database architecture from an on-premises database to the cloud can be a complicated and time-consuming process. One of the critical decisions is the choice of tooling to deliver the migration, and how to get the best out of the selected tool. This post discusses key learnings and experiences Fujitsu has gained through its use of AWS Database Migration Service (AWS DMS) during database migration projects, primarily from Oracle-to-PostgreSQL migrations.

Amazon Redshift is a column-oriented database management system that stores data in columns, making it quicker to analyze data. The platform also performs a continuous backup of data, eliminating the risk of losing data or the need to plan for backup hardware. Learn how Hexaware’s automated platform, Amaze for Data & AI, transforms on-premises data warehouse ecosystems to the cloud while ensuring business keeps running smoothly and uninterrupted.

Learn how to implement database software development lifecycle (SDLC) automation when leveraging the AWS Amplify framework to quickly create a three-tier web application following cloud engineering best practices. This approach from AWS Premier Partner Innovative Solutions leverages the AWS Code suite coupled with the Amplify CLI to integrate database migrations against an Aurora Serverless V1 PostgreSQL cluster with deployment of an Amplify project.

ScyllaDB is a wide-column NoSQL database for data-intensive applications requiring high throughput and low latency. It was invented to take advantage of modern, highly performant cloud servers, including the new Amazon EC2 I4i series servers based on Intel Ice Lake x86 processors, and the Is4gen and Im4gn series which use Arm-based Graviton2 processors. ScyllaDB is fully compatible with Apache Cassandra and Amazon DynamoDB and is AWS Outposts Ready for on-premises deployments.

Learn how to use ShardingSphere-Proxy to build database clusters, covering aspects such as sharding, read/write splitting, and dynamic configuration. Apache ShardingSphere is an ecosystem of open-source distributed database solutions, including JDBC and Proxy products, which can be deployed either independently or in combination. The commercial edition provides additional data security and data sharding features from AWS Partner SphereEx.

Many IBM Db2 customers are exploring modernizing their databases by moving them into a containerized environment such as Red Hat OpenShift, Amazon EKS, or IBM’s Cloud Pak for Data. Getting to the end goal of containerizing your database takes a lot of time and effort. To streamline this process, IBM has developed a new utility called Db2 Click to Containerize (also known as Db2 Shift) to help customers move their databases quickly and easily from an on-premises Db2.

Deloitte’s Cloud Managed Services practice helps clients design, build, and operate end-to-end solutions in addition to managing critical business applications running in the cloud. Explore a new feature of AWS Backup for SAP HANA databases running on Amazon EC2, and learn how to integrate HANA database with the AWS Backup service and how to perform a full HANA database backup and restore using AWS Backup.

Learn how the Heimdall Database Proxy can be configured to provide customer query routing for Amazon RDS for Postgres, although any SQL database type including Amazon Redshift can be supported. This provides a single Heimdall Proxy endpoint to access data for multiple customers from multiple databases, transparently. Heimdall Data provides functionality needed to support many complex database environments, and solves many of the challenges in scaling database access.

Today’s customers demand personalized service. To meet these expectations, enterprises must continuously learn, evolve, and develop mechanisms to drive usability and improve the omnichannel experience. In this post, you’ll learn about the Infosys Customer Intelligence Platform (CIP), a solution built using Amazon Neptune and AWS to accelerate data ingestion, data processing, data modeling, and data analytics.