Enterprise Database Efficiency: Optimize Performance, Cost, and Flexibility with Postgres®
Achieve your strategic business outcomes with a leading Postgres data and AI platform.
Why modernizing legacy databases is a strategic imperative
Enterprise IT leaders face increasing pressure to accelerate time to market, reduce unpredictable database costs, and mitigate critical operational risks. The restrictive, proprietary database models that have dominated for more than a decade are now the single biggest impediment to innovation, financial agility, and strategic control.
Legacy systems create unacceptable risk profiles: Aggressive vendor lock-in restricts strategic flexibility and data sovereignty, exorbitant licensing costs devour innovation budgets, and operational complexity prevents the real-time responsiveness required for modern AI initiatives.
Core business value drivers
Financial and operational efficiency
- Optimize spend and maximize ROI
- Reduce dependency on proprietary systems
- Advance ESG and operational efficiency goals
Agility and innovation
- Achieve infrastructure agility
- Accelerate innovation and open data access
- Modernize data distribution for maximum flexibility
Risk, resilience, and compliance
- Ensure business continuity and resilience
- Mitigate risk and strengthen security posture
- Maintain governance for regulatory and legal requirements
Industry leadership with people and performance
- Drive customer satisfaction through performance and reliability
- Enable talent empowerment and retention with headache-free databases
- Be seen as a leader in your industry
How to use open-source database solutions for strategic freedom and cost optimization
Adopt flexible and innovative technologies to ensure your budget is spent where it makes the most sense.
Reduce dependency on proprietary systems
Actively migrate away from costly, restrictive legacy databases.
How to get there: Institute legacy database migration support and utilize a phased Oracle-to-Postgres® migration path. Using compatibility tools ensures a clean, modern database infrastructure.
Optimize spend and grow revenue
Shift from a capital-expenditure (CapEx) to an operational-expenditure (OpEx) model.
How to get there: Opt for a subscription-based business model to avoid vendor lock-in and seek higher returns on investment. This allows for predictable budgeting and scaling, with clear comparisons on throughput and price/performance.
Embrace a 'Deploy Anywhere' cloud-agnostic strategy
Decouple your data strategy from your infrastructure provider.
How to get there: Establish the flexibility to run in any cloud (public, private, or hybrid) and support any infrastructure. This ensures the most agile integration of Postgres and Kubernetes (K8s), allowing you to deploy where it makes the most financial and operational sense.
Innovate faster on an open, extensible platform
Build new applications and services using an extensible, open-source-first platform.
How to get there: Support faster innovation with Postgres's native extensibility system. This allows you to start new projects without large up-front investment (leveraging OSS) and use a single, general-purpose platform, reducing the number of moving parts.
Unify data workloads for AI and real-time insights
Consolidate transactional and analytical data to eliminate data silos and latency.
How to get there: Unify workloads to remove delays in deriving insights. This is supported by tools like EDB Postgres AI Hybrid Manager, which is part of a leading Postgres data and AI platform, enabling faster, more accurate business intelligence.
Try the EDB Postgres AI Configurator for free today
Configure the industry’s first sovereign AI and data platform—customized for your workloads, your cloud strategy, and your deployment preferences. You’ll be able to email the configuration to yourself or request pricing for your configuration.
The EDB Postgres AI difference: Supporting enterprise cost, risk mitigation, and data agility goals
EDB Postgres AI (EDB PG AI) provides enterprise-level support and solutions backed by unparalleled Postgres expertise. We distinguish ourselves through a combination of technology, support, and professional services.
| Strategic Outcome / Business Need | Required Capabilities | EDB Differentiator |
|---|---|---|
| Reduce Dependency on Proprietary Systems |
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| Optimize Spend and Maximize ROI |
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| Achieve Infrastructure Agility |
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| Ensure Business Continuity and Resilience |
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| Mitigate Risk and Strengthen Security Posture |
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| Accelerate Innovation and Open Data Access |
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| Drive Customer Satisfaction Through Performance and Reliability |
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| Advance ESG and Operational Efficiency Goals |
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| Enable Talent Empowerment and Retention |
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EDB PG AI is the modern database for banking, built for compliance, resilience, and innovation. Whether you’re planning an Oracle migration, pursuing core banking modernization, or enabling AI-driven fraud detection, we deliver the secure, regulatory-read.
Organizations can achieve significant cost savings by transitioning from proprietary database systems to open source solutions such as PostgreSQL. This shift eliminates expensive licensing fees and offers a subscription-based pricing model that enhances financial predictability. Additionally, leveraging open source technologies reduces dependency on proprietary systems, providing greater flexibility and control over database management. Learn More.
Migrating from legacy databases such as Oracle to PostgreSQL involves a phased approach that ensures compatibility and minimizes downtime. Utilizing migration tools and services can streamline the process, allowing organizations to modernize their database infrastructure while maintaining operational continuity. This transition enables enterprises to benefit from the flexibility and cost-effectiveness of PostgreSQL. Learn More.
Implementing a distributed high-availability architecture with multi-controller logical replication ensures that all nodes in the database cluster can handle read and write operations. This setup provides automatic failover and continuous data availability, even in the event of node failures or network issues. Such configurations are essential for maintaining business continuity and meeting stringent service level agreements. Learn More.
Adopting containerized environments using Kubernetes allows for scalable and cloud-agnostic database deployments. This approach facilitates automated deployment, scaling, and management of PostgreSQL databases across various infrastructures, including on-premises and public clouds. By embracing these modern deployment strategies, organizations can enhance operational agility and support dynamic business needs. Learn More.
Modernizing database infrastructure with PostgreSQL enhances security through robust encryption, access controls, and compliance with industry standards. This modernization also supports environmental, social, and governance (ESG) goals by enabling energy-efficient operations and reducing reliance on proprietary systems. By aligning database practices with ESG objectives, organizations can achieve sustainable and responsible business operations. Learn More.