Hardened sync for production Low-latency pipelines

SynchronizePostgreSQLandSQL Serverwith confidence.

PGSyncSS delivers reliable data sync, replication, and ETL across heterogeneous databases—built for change capture, conflict handling, observability, and secure deployments.

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Bi-directional
One-way or two-way sync.
Mapping + transforms
Schema & type bridging.
Observable
Metrics, logs, retries.
Pipeline snapshot
Example topology for one deployment
Live-ready 
PostgreSQL (source)
  └─ CDC / Timestamp / Triggers
       └─ PGSyncSS Worker
            ├─ Transform + Map (types, schema)
            ├─ Batch / Stream + Retry
            ├─ Conflict policy
            └─ SQL Server (target)

Optional:
  ├─ Reverse sync (SQL → PG)
  ├─ Dead-letter queue
  └─ Metrics / Alerts
Idempotent
Safe replays, consistent outcomes.
TLS-ready
Secure in transit by default.
Supports:Docker Linux Windows Kubernetes
Postgres-native patterns
SQL Server optimized
Near-real-time or scheduled
Operational visibility

Built for the messy parts of real-world data

PGSyncSS focuses on correctness, performance, and long-term operability—without turning deployment into a science project.

One-way or two-way sync

Replicate PG → SQL Server, SQL Server → PG, or bi-directional with clearly defined conflict rules.

Schema mapping & transforms

Map tables, rename fields, convert types, and apply transforms using a simple configuration model.

Batch + streaming modes

Choose scheduled batching for throughput or near-real-time streaming for low latency.

Reliable delivery

Retries, backoff, checkpoints, and idempotent writes reduce risk during outages and deploys.

Conflict policies

Choose “source wins,” “target wins,” last-write-wins, or custom key-based merge strategies.

Observability

Structured logs, metrics, health checks, and alert hooks so operations stays boring.

How PGSyncSS works

Set up connectors, define mapping, choose capture strategy, and run. PGSyncSS manages checkpoints, retries, and change application with predictable behavior.

Connect
Configure PostgreSQL + SQL Server endpoints, credentials, and TLS.
Map
Define table mappings, key strategy, type conversions, and transforms.
Run
Execute in batch or streaming mode with checkpoints and observability.
Checkpoints Replays Dead-letter Policies
Example Dashboard
YAML / JSON
Want this wired to your exact schemas?Request a demo.

Security-first by default

Sync is only as safe as its weakest link. PGSyncSS is designed for secure transport, least privilege access, and audit-ready operations.

TLS in transit
Encrypt connections to both databases, with modern cipher support.
Least privilege
Role-based DB accounts and scoped permissions for sync tasks.
Audit-ready
Structured logs and operational events help pass reviews.
Safe retries
Idempotency and checkpoints reduce duplicate/partial writes.
Deployment options

Run PGSyncSS where your data lives—cloud, on-prem, or hybrid.

Container-ready
Docker images for reproducible rollouts and easy scaling.
Kubernetes-friendly
Health endpoints and stateless workers for orchestration.
On-prem & air-gapped
Run inside restricted networks with controlled updates.

Pricing that scales with your workloads

Choose a plan that fits your environment today—upgrade as you add pipelines and endpoints.

Starter
Single env

For small deployments and proof-of-concepts.

$299/mo
  • 1–4 pipelines
  • Data Set Exclusion per Pipeline
  • Standard Support
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Professional
Most popular

For production sync with reliability and visibility.

$899/mo
  • Up to 15 pipelines
  • Data Set Exclusion per Pipeline
  • Metrics & health checks
  • Enhanced Support
Request a demo
Enterprise
Custom

For regulated, high-volume, and multi-tenant environments.

Let’s talk
  • Unlimited pipelines
  • Data Set Exclusion Independent Up/Down
  • Custom Features on PGSyncSS
  • Enhanced Support
Contact us
1 Pipeline = 1 SQL Server Database

Operationally boring, in a good way

When sync is critical, predictability matters more than flashy dashboards.

“We needed a stable bridge between Postgres and SQL Server with clear failure behavior. PGSyncSS just runs.”

— Data Engineering Lead

“The checkpointing + retries saved us during an outage. No manual cleanup, no broken consistency.”

— Platform Ops

“Mapping and transforms let us modernize without rewriting everything. It’s a real migration accelerator.”

— Application Architect

Request a demo

Tell us your data sources, sync direction, and any constraints (latency, volume, compliance). We’ll recommend the best approach.

What we’ll cover
Pipeline design • Conflict strategy • Mapping plan • Deployment model • Operational monitoring
Prefer email? Use the form and we’ll reply fast.

FAQ

Common questions about PGSyncSS deployments and behavior.

Yes—use streaming mode with checkpoints. For higher throughput, batch mode can be scheduled with aggressive intervals.

You define a policy (source wins, target wins, last-write-wins, or key-based strategy). The goal is deterministic resolution.

Yes. PGSyncSS is designed to run locally to the databases with controlled outbound dependencies.

PGSyncSS emits structured logs, health signals, and metrics so you can alert on lag, errors, throughput, and retries.
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