Solutions

Start with your workload

Evaluate cost, reliability, migration complexity and your team's operational capacity together. Our approach combines open-source software, engineering and an agreed support scope.

Cloud exit & database migration

Assess the right deployment model

Compare managed databases, cloud virtual machines and your own infrastructure. Identify operational responsibilities and develop a migration plan that can be rehearsed and validated.

The solution page includes historical cost models and migration stages to support an initial assessment.

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Production PostgreSQL

Build an operable database platform

Plan a PostgreSQL environment around high availability, backup and recovery, observability and routine changes, aligned with your team and workload requirements.

Translate the plan into an architecture review, deployment, performance assessment and knowledge transfer.

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WORKLOAD SCENARIOS

Match the stack to your workload

Use these scenarios as a starting point. Evaluate extension compatibility, capacity, and recovery objectives against your workload, then validate the design.

AI & Vector Retrieval

pgvector · pgvectorscale · pg_search

Combine vector and full-text extensions in PostgreSQL, choosing indexes around your data and queries.

Geospatial Data

PostGIS · pgRouting · h3

Model maps and location services with PostGIS geometry, pgRouting routing, and H3 spatial indexes.

IoT & Time Series

TimescaleDB · pg_timeseries

Evaluate partitioning, compression, and rollups against ingestion, retention, and query needs. Features vary by extension and version.

Availability & Recovery

Patroni · DCS (etcd) · PgBouncer

Design failover with Patroni, etcd, and connection pooling. Validate RPO and RTO for the chosen replication mode and failure scenarios.

Analytics & Integration

DuckDB FDW · Citus · Columnar

Evaluate DuckDB integration, columnar storage, or Citus sharding, and test data access and query performance.

Private & Offline Deployments

Silo · PIG · SOW · Offline Repo

Prepare private repositories, local S3 storage, and offline packages, with a defined platform and update process.

DECISION MATRIX

Self-hosted or managed?

Compare control, operational responsibility, and total cost. The right choice depends on the service, your team, and your business requirements.

Dimension Self-hosted with PGSTY Managed cloud database
Extension ecosystem Choose compatible packages from public repositories; validate each version and platform Available extensions and permissions depend on the service, version, and region
Database distributions Select PostgreSQL or a compatible distribution and validate workload compatibility Choose from the provider's supported engines, versions, and configurations
Infrastructure TCO Budget for hardware or VMs, staffing, support, backup, and migration Review service fees, storage, I/O, networking, and committed-use discounts
Observability depth Configure metrics and logs, with access to host-level diagnostics Use provider monitoring and diagnostic interfaces; check access and retention
Sovereignty & portability Control deployment, access, and backup policies; own security and operations Work within the shared responsibility model; assess export and migration paths
Upgrades & operations Plan and rehearse upgrades, including extension compatibility, downtime, and rollback Review the provider's maintenance options, version lifecycle, and upgrade policy

WORK WITH PGSTY

Let's talk about your next project.

Tell us about your environment, objectives, and timeline. We will help you define the next step.