The recent launch of the unified EDB Postgres® AI intelligent platform brings an unparalleled approach for addressing challenges associated with managing transactional, analytical, and AI workloads across hybrid and multi-cloud environments. EDB Postgres AI solves the challenges involved in migrating from legacy data infrastructures to an open source database approach that fosters innovation and integration with modern cloud-native stacks.
As part of our platform, the EDB Postgres AI Cloud Service enables organizations to deploy fully managed EDB Postgres on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud—all long-standing partners of ours. In the case of AWS, the company offers their own native Postgres-compatible managed services—Amazon RDS and Amazon Aurora. In our just-published White Paper, “EDB Postgres AI: How to Reduce Your TCO and Improve Postgres Performance on AWS”, we provide a guide for technology leaders who want to examine the various Postgres offerings with the AWS ecosystem and see how they compare to the EDB Postgres® AI Cloud Service.
This blog highlights the informative Postgres database-as-service analysis detailed in the White Paper, including how you can manage cloud infrastructure costs, enhance database performance, and avoid cloud lock-in with the EDB Postgres AI Cloud Service on AWS.
Comparing AWS platform-native Postgres solutions
When compared to self-managing PostgreSQL databases, RDS and Aurora offer streamlined setup, automated maintenance and high availability, reduced administrative overhead, and enhanced reliability. Aurora and RDS can help you manage and run cloud databases without worrying about the underlying infrastructure, but they each have different features that set them apart.
- RDS provides a flexible and scalable solution for setting up and operating a relational database and supports MySQL, PostgreSQL, Oracle, Db2, SQL Server, and MariaDB. RDS simplifies routine database tasks by automating provisioning, backups, basic patch management, and handling routine administration.
- On the other hand, Aurora is a proprietary database engine built by AWS that offers compatibility with MySQL and PostgreSQL, while offering high performance, scalability, and reliability. Aurora achieves higher performance through a proprietary storage architecture that enhances resilience and performance across availability zones and regions.
- Specific business needs can help drive your decision-making between these two options. Aurora may be the better choice for performance, scalability, and high availability, despite the higher cost. Meanwhile, RDS offers a broader range of database engine options and may be more cost-effective for specific applications that don’t require the absolute highest performance.
EDB Postgres AI + AWS: Better together
Our strategic alliance with AWS enhances the EDB Postgres AI platform capabilities, multi-cloud data infrastructure solution, and product roadmap.
As a result, the EDB Postgres AI Cloud Service closes the high availability gap for Postgres running on AWS, offering up to 99.995% availability using active-active, geo-distributed architectures needed to assure business continuity. You can migrate to Postgres more easily than ever by using the Oracle Compatibility Mode and suite of integrated EDB migration tools and services.
For enterprise databases supporting globally distributed workloads, regional cloud outages and disruptions in AWS can significantly deteriorate user experience and disrupt business operations. Beyond downtime, database latency is especially problematic for SaaS and customer-facing applications running in multi-cloud environments. Additionally, for a globally distributed user base, the data in Postgres cloud services must adhere to regional differences and policies, as well as comply with data governance regulations. EDB Postgres AI Cloud Service addresses these collective business and customer demands with EDB Postgres Distributed, providing continuous high availability Postgres operations on AWS, with up to 99.995% guaranteed uptime.
In comparison, even with every replication enabled, RDS only offers a 99.95% uptime service level agreement (SLA), and Aurora provides a 99.99% SLA.
Ease deployment and reduce TCO 3-5X with EDB Postgres AI Cloud Service on AWS
In addition to performance and security,, deployment ease and total cost of ownership (TCO) are top-of-mind concerns for enterprises scrutinizing Postgres cloud database options.
When compared to Amazon RDS and Aurora, EDB Postgres AI offers superior deployment flexibility, performance, and up to 3-to-5X reduced TCO when deployed on the customer’s AWS cloud infrastructure (“bring your own account”). When running in an organization’s AWS cloud infrastructure, EDB Postgres AI Cloud Service provides a lower-cost, higher performance Postgres solution—offering greater resilience, security, and control—than RDS, Aurora Standard, and Aurora IO Optimized.
Additionally, you can access AWS Marketplace pricing for EDB Postgres AI Cloud Service solutions, while reducing your AWS spend commitments.
As a result, you benefit from reduced TCO, quicker time to market, and enhanced innovation capabilities, with EDB handling deployment, monitoring, high availability, replication, backups, and encryption with EDB Postgres AI Cloud Service.
Learn more—download the White Paper to get a side-by-side analysis of how the EDB Postgres AI Cloud Service on AWS compares to RDS and Aurora.
You can get started today with your fully managed EDB Postgres AI Cloud Service experience with $300 in AWS cloud credits.
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Elevating Postgres Security with the EDB Trust Center
EDB Postgres solutions have long addressed the highest security standards demanded by federal, state, and local Government agencies, as well as highly regulated businesses like financial services, healthcare, and telecommunication.