Two-way sync
Changes in AWS Aurora PostgreSQL or Extensiv (3PL Central) instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora PostgreSQL and Extensiv (3PL Central) in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
ERP data sits behind interfaces built for the ERP's own modules, not for your internal systems. Teams that need those records, for reporting services, internal tools, or automations, end up writing integration code against a strict API and maintaining it through every upgrade.
Stacksync mirrors Inventory adjustments, Customers, Items, Inventory from Extensiv (3PL Central) into AWS Aurora PostgreSQL and keeps both sides consistent in real time. Whatever Extensiv (3PL Central) is the system of record for, whether financials, operations, people, or procurement, those records become rows your code can query, and changes written in AWS Aurora PostgreSQL sync back into Extensiv (3PL Central) with its validations respected.
Choose exactly which tables and fields may flow from AWS Aurora PostgreSQL back into Extensiv (3PL Central), keeping the ERP authoritative.
Records from Extensiv (3PL Central) live in AWS Aurora PostgreSQL as ordinary tables or collections, joinable with the rest of your data.
Scripts and services read and write the synced tables; Stacksync handles the Extensiv (3PL Central) interface, limits, and retries.
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| AWS Aurora PostgreSQL objects | Extensiv (3PL Central) objects | How this pairing syncs | |
|---|---|---|---|
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Shipments Carrier and tracking details synced back once orders ship. | Columns is specific to AWS Aurora PostgreSQL and Shipments to Extensiv (3PL Central) — each maps to any object or custom field on the other side. | |
| Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | Warehouses Facility records that partition inventory and order routing. | Primary keys and constraints is specific to AWS Aurora PostgreSQL and Warehouses to Extensiv (3PL Central) — each maps to any object or custom field on the other side. | |
| Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | Inventory adjustments Manual stock corrections that reconciliation syncs need to capture. | Views and materialized views is specific to AWS Aurora PostgreSQL and Inventory adjustments to Extensiv (3PL Central) — each maps to any object or custom field on the other side. | |
| Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | Customers The 3PL's clients; nearly every other record is scoped to one, so syncs carry customer context on each call. | Foreign keys is specific to AWS Aurora PostgreSQL and Customers to Extensiv (3PL Central) — each maps to any object or custom field on the other side. | |
| Replication slots and publications The logical replication objects that power log-based CDC. | Items SKU masters kept aligned between the merchant's systems and the warehouse. | Replication slots and publications is specific to AWS Aurora PostgreSQL and Items to Extensiv (3PL Central) — each maps to any object or custom field on the other side. | |
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | Inventory On-hand and available quantities by warehouse, mirrored out to drive channel availability. | Databases and schemas is specific to AWS Aurora PostgreSQL and Inventory to Extensiv (3PL Central) — each maps to any object or custom field on the other side. |
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DetectionChanges in AWS Aurora PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback.
DeliveryEach detected change is written to Extensiv (3PL Central) through its API, with automatic retries and rate-limit backoff.
DetectionExtensiv (3PL Central) notifies Stacksync of record changes through webhook events. Webhook events for order, receipt, item, and inventory changes, with polling on modified-date filters as a fallback.
DeliveryEach detected change is applied to AWS Aurora PostgreSQL as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Extensiv (3PL Central) connection.
Changes in AWS Aurora PostgreSQL or Extensiv (3PL Central) instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora PostgreSQL or Extensiv (3PL Central) data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single AWS Aurora PostgreSQL or Extensiv (3PL Central) record.
Track your AWS Aurora PostgreSQL ⇄ Extensiv (3PL Central) sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and Extensiv (3PL Central).
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
Authenticate AWS Aurora PostgreSQL and Extensiv (3PL Central) with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the AWS Aurora PostgreSQL and Extensiv (3PL Central) objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora PostgreSQL and Extensiv (3PL Central): authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Columns and Primary keys and constraints), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on AWS Aurora PostgreSQL: Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback. On Extensiv (3PL Central): Webhook events for order, receipt, item, and inventory changes, with polling on modified-date filters as a fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the AWS Aurora PostgreSQL side: Views and materialized views, Foreign keys, Replication slots and publications, Databases and schemas, plus custom fields where AWS Aurora PostgreSQL exposes them. On the Extensiv (3PL Central) side: Inventory adjustments, Customers, Items, Inventory. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for AWS Aurora PostgreSQL and Extensiv (3PL Central): Controlled write-back; Read ERP records with a query; Internal tools and automations without API code. Choose exactly which tables and fields may flow from AWS Aurora PostgreSQL back into Extensiv (3PL Central), keeping the ERP authoritative.
AWS Aurora PostgreSQL: SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. Extensiv (3PL Central): REST API. Authentication: Short-lived access tokens obtained from integration client credentials (client ID and secret). Stacksync manages authentication, retries, and rate limits on both sides.
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 353 integrations available for AWS Aurora PostgreSQL and Extensiv (3PL Central).