Oracle Database as a Service and Azure Database for PostgreSQL compete in the database management platform sector. Oracle holds an edge with robust security and multi-tenancy features necessary for complex database management.
Features: Oracle Database as a Service provides robust security, multi-tenancy, and top-tier performance. Azure Database for PostgreSQL offers ease of integration with other Azure services, efficient resource use, and features that enhance scalability and cloud optimization.
Room for Improvement: Oracle Database as a Service could improve its user interface, simplify licensing, and enhance documentation. Azure Database for PostgreSQL could improve dynamic scaling, cost transparency, and advance its monitoring and management tools.
Ease of Deployment and Customer Service: Oracle Database supports hybrid, public, and on-premises deployments but receives mixed reviews on customer service. Azure Database for PostgreSQL is primarily used in public cloud setups with praised support but could benefit from a more streamlined deployment process.
Pricing and ROI: Oracle Database as a Service is expensive, justified by advanced features and ROI for large enterprises. Azure Database for PostgreSQL's pay-as-you-go model allows better cost management and scalability, appealing for smaller or segmented deployments.
It offers at least 25 percent cost savings compared to maintaining on-premises databases.
Now, we use embedded PostgreSQL vectors, which will undoubtedly reduce the TCO by using a much more cost-effective solution.
We've reduced our total ownership cost because we are not spending on expensive SQL server licenses.
In Bangladesh, digital banking is becoming prominent within a couple of years, so all banking systems will be digital.
Once we open a support case, we have people engaged within about 20 minutes, especially for a Sev 1 issue.
The documentation and training we've received through Microsoft Learn on how to migrate, deploy, and manage the solution is exceptional.
We handle most implementations in-house, without extensive reliance on Microsoft's technical support.
Oracle provides expert support globally, not just in South Asia -- also in Europe and America.
However, we can see how well it scales after we deploy it for some large enterprise customers or big government organizations.
The scaling options with FlexServer provide us with the flexibility we need based on application complexity.
We can scale up compute and scale it down, but once storage is allocated, there is no way to scale it back down.
There is a stability issue where, if the database usage peaks quickly, it may crash and require intervention to restore functionality.
We have generative AI applications, and we have not noticed any latency.
Overall, I have not encountered any real latency issues or stability concerns.
The solution is stable, resilient, and doesn't crash under pressure.
It does not presently support knowledge graph functionalities as Neo4j does.
Azure Database for PostgreSQL can be improved by allowing quicker scaling without blips.
I believe there could be improvements in the mirroring part and Change Data Capture (CDC).
With the advent of generative AI, adding functionality where current administrative activities could be automated would be beneficial.
It would be beneficial if Oracle could offer features similar to those provided by open-source platforms like Postgres, such as a multi-core-based platform and a shared node database.
We've reduced costs by 60 percent compared to maintaining on-premises solutions.
The pay-as-you-go pricing model positively affects database-related costs by allowing us to start small and scale as needed.
The pay-as-you-go model works well for us.
Prices are high.
My takeaway as a CTO is that they're comfortable with the security posture, the features, the observability, alerts, and now it integrates into the rest of the Azure landscape.
The query analyzers help me find out what's happening in each of the queries.
The most valuable features of Azure Database for PostgreSQL are its networking capabilities, which allow for integration with other Azure services.
The encryption level, resilience, and secure features from both clients, particularly the resilience aspect of Oracle Database, are highly valuable.
The valuable features include availability, agility, and scalability.
Product | Market Share (%) |
---|---|
Oracle Database as a Service | 7.8% |
Azure Database for PostgreSQL | 2.9% |
Other | 89.3% |
Company Size | Count |
---|---|
Small Business | 2 |
Midsize Enterprise | 1 |
Large Enterprise | 6 |
Company Size | Count |
---|---|
Small Business | 22 |
Midsize Enterprise | 18 |
Large Enterprise | 31 |
Azure Database for PostgreSQL offers efficient management, robust networking, and seamless Microsoft integration. Known for its strong performance and high satisfaction in enterprise settings, it provides operational efficiency, security, and monitoring.
With features that facilitate Azure integration, easy configuration, and AI integration, Azure Database for PostgreSQL serves as a valuable choice for businesses requiring operational efficiency and cost-effectiveness. Users benefit from powerful vector capabilities, seamless Microsoft service integration, straightforward management, and user authentication ensuring high satisfaction. Easy optimization, query analysis, and backup operations make it suitable for varied enterprise applications. However, improvements in flexible scaling, cost-effectiveness of monitoring tools, and enhanced integration with Azure OpenAI would enhance its capabilities further.
What Are the Key Features of Azure Database for PostgreSQL?Industries such as healthcare, retail, and finance leverage Azure Database for PostgreSQL for backend solutions, incident reporting, and public information sharing. Managed service providers utilize its strong performance for client needs, while administrators use it for applications like ControlM. Its flexibility supports containerized applications and disaster recovery, ensuring compatibility with diverse environments.
Oracle Database Cloud Service combines the power of Oracle Database, with the unique capabilities of the Oracle Cloud. The service provides a secure, automated data management platform that leverages on demand Oracle Cloud Infrastructure services via a simple web based user interface and RESTful API. Oracle Database Cloud Service provides elastic database services for development, test, and production environments of custom and packaged online transaction processing (OLTP), data warehousing, and mixed workload applications. It enables businesses to reap all Oracle Platform as a Service (PaaS) benefits including subscriptionbased, self-service access to reliable, scalable, and elastic cloud environments and accelerates time to value by simplifying the provisioning and administration of Oracle databases.
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