Two-way sync
Changes in AWS Aurora PostgreSQL or Smartsheet instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora PostgreSQL and Smartsheet in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Engineers integrate with tools like Smartsheet through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in AWS Aurora PostgreSQL.
Stacksync mirrors Attachments, Discussions and Comments, Users and Groups, Sheets from Smartsheet into Rows, Columns, Primary keys and constraints, Views and materialized views in AWS Aurora PostgreSQL and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Smartsheet, so the tool and the database never disagree.
Write to the synced tables in AWS Aurora PostgreSQL and Stacksync propagates the change into Smartsheet, replacing custom integration code.
Updates in Smartsheet arrive as row changes in AWS Aurora PostgreSQL, so triggers, jobs, and services can respond in near real time.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
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 | Smartsheet objects | How this pairing syncs | |
|---|---|---|---|
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | Rows Records inside a sheet, each with createdAt/modifiedAt and cells keyed by columnId; the primary unit synced to and from external tables. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Columns Define sheet schema and cell type (TEXT_NUMBER, DATE, CONTACT_LIST, PICKLIST, CHECKBOX); read via the API so field mappings can be generated. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | Users and Groups Account membership and sharing; synced to keep an HR or identity source aligned with sheet and workspace access. | Foreign keys is specific to AWS Aurora PostgreSQL and Users and Groups to Smartsheet — 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. | Sheets The core container; each sheet has typed columns, rows, and a modifiedAt stamp. Stacksync treats a sheet as a table and syncs its rows two-way. | Replication slots and publications is specific to AWS Aurora PostgreSQL and Sheets to Smartsheet — 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. | Cells Row-by-column values; writes must match the column type and no single cell can exceed 4,000 characters. | Databases and schemas is specific to AWS Aurora PostgreSQL and Cells to Smartsheet — each maps to any object or custom field on the other side. | |
| Tables The core sync unit; rows are matched across systems by primary key. | Reports Read-only roll-ups spanning multiple sheets; pulled into a warehouse for cross-sheet reporting, capped at 50,000 rows. | Tables is specific to AWS Aurora PostgreSQL and Reports to Smartsheet — 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 Smartsheet through its API, with automatic retries and rate-limit backoff.
DetectionSmartsheet notifies Stacksync of record changes through webhook events. Sheet-scoped webhooks subscribed to *.* events notify on row and cell changes.
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–Smartsheet connection.
Changes in AWS Aurora PostgreSQL or Smartsheet instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora PostgreSQL or Smartsheet 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 Smartsheet record.
Track your AWS Aurora PostgreSQL ⇄ Smartsheet sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and Smartsheet.
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 Smartsheet 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 Smartsheet 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 Smartsheet: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Rows and Columns), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for AWS Aurora PostgreSQL and Smartsheet: Automate Smartsheet from your codebase; React to changes as they happen; One integration pattern for the whole stack. Write to the synced tables in AWS Aurora PostgreSQL and Stacksync propagates the change into Smartsheet, replacing custom integration code.
AWS Aurora PostgreSQL: SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. Smartsheet: REST API (v2.0). Authentication: OAuth 2.0 authorization-code flow, or a raw/personal API access token passed as a Bearer header. Stacksync manages authentication, retries, and rate limits on both sides.
Smartsheet: Row add and update calls are limited to 500 rows per request, so large syncs are chunked. AWS Aurora PostgreSQL: PostgreSQL compatibility means JSONB, arrays, and custom types survive intact when syncing between Aurora and other Postgres-compatible stores. Stacksync's field mapping accounts for these differences between AWS Aurora PostgreSQL and Smartsheet without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means AWS Aurora PostgreSQL and Smartsheet records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed AWS Aurora PostgreSQL and Smartsheet connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora PostgreSQL–Smartsheet integration in-house.
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 457 integrations available for AWS Aurora PostgreSQL and Smartsheet.