On-demand
Cloud High Availability: Future-Proofing Your Business
In today's business landscape, high availability in the cloud is critical. But with so many options available, it can be difficult to determine the right level of availability for your application that fits both your budget and needs. That's where our experts come in—we'll provide you with the insights you need to make informed decisions for your business.
The Profitability Impact of Self-Supported PostgreSQL
Self-support for open source PostgreSQL can be a cost-effective option for organizations that have the necessary expertise and resources. Explore the advantages and disadvantages of self-supported PostgreSQL, including key factors that you should consider, such as impact on digital transformation and corporate profitability.
No eres tú, es Oracle. Déjalos por Postgres.
¿Se acabó la luna de miel con Oracle? EDB te entiende. No eres tú, son ellos. Puedes pensar que dejar Oracle es difícil, pero con la ayuda adecuada, en realidad es muy fácil. Puedes dejarlo y encontrar una nueva libertad con la base de datos preferida de los desarrolladores: Postgres.
“It’s not you, it’s Oracle. Leave them for Postgres”
In this 45-minute webinar, we will discuss how you can lower your software costs by as much as 80% and achieve 95% compatibility with EDB Postgres Advanced Server due to our Oracle Compatibility features. You will also learn how you could migrate in 20 person-days or less and if you are interested in moving to the Cloud, this webinar will equip you with an understanding of how EDB BigAnimal, is the fastest and most cost-effective way to go from Oracle on-premises to Postgres in the cloud.
Exploring the Consistency-Availability-Partition (CAP) Theorem
In this webinar, we will explore the trade-offs that you need to make when drawing an architecture for a Relational Database Management System like PostgreSQL. We will conclude with some practical use cases, explaining the constraints, the problems and how we solve them.
Beyond Joins and Indexes: Explaining the Postgres Query Optimizer, Part 2
As a follow up to the presentation, Explaining the Postgres Query Optimizer, this webinar covers the details of query optimization, optimizer statistics, joins, and indexes. This talk covers 42 other operations the optimizer can choose to handle complex queries, large data sets, and to enhance performance. These include merge append, gather, memoize, and hash aggregate. It explains their purpose and shows queries that can generate these operations.
