Category: Database

Getting the same performance on open-source databases as you get on commercial-grade databases can be challenging. EPAM’s database assessment tool, migVisor, can play a key role in the overall migration methodology. Learn how using migVisor in combination with other AWS assessment solutions and services can help you gain a holistic view of your environment and make informed decisions to determine the feasibility of migrating your databases and correlated applications to AWS.

To curb spend and unlock scale, Precisely collaborates with AWS to provide the means to synchronize mainframe data in the cloud at speed and power modern applications. Learn how Precisely Connect integrates data seamlessly from legacy systems into next-generation cloud and data platforms. Using Precisely Connect, data from sequential files, VSAM datasets, or databases such as IMS and Db2 can be transferred to Amazon RDS.

Graph databases are useful for solving problems related to connected data, and represent data as nodes and enable organizations to uncover relationships between data that’s not possible with other approaches. Experts from AWS and Neo4j explore four types of databases and the most common applications for each: relational, document, in-memory, and graph. We’ll cover how different industries use graph databases and how they work as part of an AWS architecture.

As more workloads move to AWS, secure and robust solutions are needed for backing up AWS managed services such as Amazon RDS Custom for Oracle. Learn how fast and easy it is to protect your data securely with Druva, an AWS Competency Partner and SaaS-based platform to protect and manage enterprise data across endpoints, data centers, and native cloud workloads. We’ll also demonstrate how Druva can be configured to back up Amazon RDS Custom safely and securely.

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.

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.