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EDB Postgres AI Database

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(171)4.4/5

EDB delivers an always-on, multi-model Postgres engine built on open source and extended with the enterprise capabilities that mission-critical workloads demand. It powers transactional, analytical, and AI workloads with support for relational, vector, document, and time-series data, so teams work with one engine and one set of Postgres skills instead of maintaining specialized systems for each data type. That consolidation removes the operational drag of stitching together separate databases, cutting the cost, complexity, and risk that come with a fragmented data estate and freeing teams to focus on building rather than integrating. EDB Postgres AI adds Oracle compatibility, transparent data encryption, distributed high availability, and native vector support for agentic and AI applications, all backed by the largest enterprise contributor to Postgres. Organizations use EDB Postgres AI Database to consolidate fragmented data infrastructure, cut licensing costs when migrating off Oracle, and build AI-ready applications without a separate vector database. Native vector support means retrieval, semantic search, and agentic workflows run right next to your operational data, so there is no extra system to sync, secure, or scale. It is built for the teams who run, build on, and extend Postgres: DBAs, agentic app developers, platform engineers, and AI engineers. Whether you are modernizing a legacy Oracle estate, standing up a new AI application, or scaling a platform that thousands of developers depend on, one engine handles the full range of work without forcing you to trade performance for flexibility. Independent benchmarks show up to 6x better price-performance than SQL Server and up to 80x faster query performance than specialized vector databases for agentic workloads. Get up to 99.999% uptime with active-active architecture, and up to 95% fewer application rewrites when migrating from Oracle. The result is one platform, enterprise-ready and open at its core, built to run your most demanding workloads today and scale with whatever comes next.

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 ![Vikas K.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Vikas K.")
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[Vikas K.](https://www.g2.com/users/96a78901-08f1-438e-866a-0f146039ad96 "Vikas K.")

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3 months ago

Software Engineer | Java | Microservices | Event-Driven APIs (Kafka) | React &amp; Databases

Software Engineer | Java | Microservices | Event-Driven APIs (Kafka) | React &amp; Databases

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# How smooth was your Oracle PL/SQL migration to EDB for PostgreSQL?
](/discussions/how-smooth-was-your-oracle-pl-sql-migration-to-edb-for-postgresql)
EDB for PostgreSQL supports much of Oracle’s PL/SQL syntax (packages, procedures, functions) and stays compatible with Oracle data types and overall SQL behavior. At the same time, complex Oracle applications can still require thorough testing and sometimes a few code changes during migration.... [Read more](/discussions/how-smooth-was-your-oracle-pl-sql-migration-to-edb-for-postgresql)

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Data Support Associate | Nihilent | Data Operations | Data Quality | Business Reporting

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# How steep is the learning curve for advanced setup in EDB Postgres AI Database?
](/discussions/how-steep-is-the-learning-curve-for-advanced-setup-in-edb-postgres-ai-database)
EDB Postgres AI Database seems like a solid fit for teams that want dependable relational database functionality while preparing for AI-oriented workloads, using familiar PostgreSQL capabilities and structured data. The biggest upside described is flexibility: keeping the PostgreSQL environment... [Read more](/discussions/how-steep-is-the-learning-curve-for-advanced-setup-in-edb-postgres-ai-database)

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