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AI and Future Readiness

Run AI and emerging workloads on open infrastructure without proprietary traps, forced platforms, or architectural compromises.

Emergency Support

Restore your database to a healthy state — fast

When your database is down, every second matters. That’s why Percona offers round-the-clock, immediate critical issue assistance.

We’ll work to quickly restore your database to a healthy state. Then, we’ll dive deep into your systems and fix any systemic issues that could lead to future performance degradations or unplanned downtime.

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AI and emerging workloads demand faster adoption, greater flexibility, and tighter integration across data platforms. But many database vendors deliver “AI readiness” via proprietary features that limit portability, inflate costs, and constrain systems.
Percona provides an open, secure, and operationally consistent database foundation, enabling teams to support AI, real-time analytics, and emerging workloads while retaining control over their architecture and data.

Percona supports AI and analytics workloads without proprietary or fragmented architectures. Percona Distribution for PostgreSQL includes pgvector, enabling embeddings, similarity search, and vector-driven retrieval directly inside the database.

Percona Operators standardize deployment and lifecycle management across Kubernetes, hybrid, and cloud, enabling AI-adjacent workloads to run close to the data while preserving portability and control.

Encryption at rest, TLS, role-based access control, and transparent audit logging help protect sensitive data used in AI pipelines and support alignment with GDPR, HIPAA, and ISO 27001 requirements.

PMM provides query-level visibility as workloads evolve, while ExpertOps tunes indexing, caching, and query behavior for new AI-driven access patterns, enabling efficient scale without unpredictable infrastructure or licensing costs

Values

The Freedom to Build Whatever Comes Next

Future progress without forced commitments

Adopt AI and emerging workloads on your timeline—not according to a vendor’s product roadmap, licensing model, or definition of “enterprise readiness.”

Architectural independence as strategies evolve

Evolve data architectures incrementally as AI, analytics, and application requirements change, without replatforming or rewriting systems to fit a single provider’s constraints.

Governance that scales with innovation

Extend security, compliance, and oversight into new workloads without fragmenting policies or creating exceptions for AI-specific platforms.

Economic control as workloads mature

Maintain predictable cost behavior as AI workloads grow, avoiding pricing models that penalize experimentation, elasticity, or long-term success.

Operational leverage, not specialization debt

Build AI-ready systems using operational models and skills your teams already have, rather than creating new silos that slow delivery and increase dependency.

Resources

Production-Proven AI & Future-Ready Database Insights

Percona ClusterSync for MongoDB 0.8.0: Up to 18x Faster Change Replication

Percona Operator for PostgreSQL 2.9.0: PostgreSQL 18 Default, PVC Snapshot Backups, LDAP Support, and More!

Security Advisory: A Series of CVEs Affecting Valkey

Use FAQs

Real Answers. No Corporate Doublespeak.

Clear, direct answers about our software, support, licensing, and how things actually work in production.

Percona supports pgvector with PostgreSQL today and is actively evaluating vector search options for MongoDB and MySQL as those ecosystems mature. Our multi-database expertise helps teams adopt AI capabilities without locking into fragmented, early-stage solutions that are difficult to operate or standardize.

Not necessarily. In many cases, specialized AI databases introduce more operational complexity than value. Percona helps teams evaluate where AI capabilities can be integrated into existing database platforms—and when a new component actually makes sense—so experimentation doesn’t turn into long-term technical debt.

Percona’s approach is built on open source software, portable architectures, and transparent operations. You’re not tied to closed APIs, enterprise-only features, or proprietary control planes—so your AI roadmap isn’t constrained by licensing changes or vendor-defined “AI readiness.”

Yes. Percona Operators and standardized operational practices allow AI and analytics workloads to run across on-prem, cloud, and hybrid environments. This makes it easier to train models, perform inference, or analyze data close to where it lives—while maintaining consistent governance and control.