Data
PostgreSQL
Our default relational database for transactional and analytical workloads.
DataApplication systems of recordAnalytical and reporting stores
Where we use it
Workloads we build with PostgreSQL
Application systems of record
Analytical and reporting stores
Vector search with pgvector
Strengths
Why we choose it
- ACID guarantees with rich extensions
- Excellent JSON and vector support
- No licence cost
Considerations
What we watch for
- Requires tuning at high write volume
- Managed service choice affects features
Services using this technology
Business AutomationRemove manual effort from the workflows that carry your business.Custom SoftwarePlatforms engineered around your process, not the other way round.Digital TransformationModernise the estate without stopping the business.Cloud & InfrastructurePlatforms that are cheap to run and safe to change.Data EngineeringTrusted data feeding decisions leaders actually use.Cyber SecuritySecurity posture you can evidence to a board or a regulator.
Industries where we deploy it
FinanceFaster decisions, defensible controls, lower cost to serve.ManufacturingConnected plants, predictable output, lower unplanned downtime.HealthcareClinical throughput, administrative relief and defensible data handling.LogisticsCost per shipment down, exceptions handled before they escalate.GovernmentCitizen services, digitised process and auditable delivery.Professional ServicesHigher utilisation, faster delivery, protected margin.EducationAcademic operations, student experience and institutional reporting.Real EstatePortfolio visibility, faster sales cycles, tighter project control.HospitalityOccupancy, guest experience and lean back-office operations.NGOMore programme impact per rupee of overhead.ConstructionProgramme certainty, cost control and site-level visibility.RetailDemand accuracy, margin protection and connected commerce.MiningSafety, asset uptime and site-to-corporate visibility.EnergyAsset reliability, consumption intelligence and compliance evidence.
Pairs well with
Case studies
Capabilities built on PostgreSQL
LLM IntegrationEmbedding language models into existing applications, APIs and business workflows.Knowledge ManagementTurning scattered institutional knowledge into a governed, searchable, answerable corpus.Marketing AutomationCampaign, nurture and reporting operations wired to real pipeline data.Paperless OfficeDigital forms, signatures and records with retention compliance.API IntegrationDesigned, versioned and secured APIs across your application estate.BackupVerified backup strategy with tested restores.
Related insights
Why enterprise AI pilots stall — and what changes when they do notThe gap between a working demo and a production system is organisational, not technical.Automation that survives auditDesigning RPA and document automation with controls, logging and ownership from day one.Modernising legacy systems without a big-bang cutoverIncremental strangulation beats a single weekend of concentrated risk.
Assess and plan
AI Readiness AssessmentScore your organisation across six readiness dimensions in about ten minutes.Enterprise AI Readiness ChecklistThe seven-dimension checklist we use before committing to an enterprise AI programme.Downloads centreCapability statement, readiness checklist and other practitioner material.
Downloadable guide
PostgreSQL engineering standards
Our reference architecture, code standards, testing approach and operational checklist for this technology.
Need this stack delivered by
people who have run it in production?
Architecture review, team augmentation or full delivery — we will show you reference implementations before you commit.