Two-way sync
Changes in AWS Aurora MySQL or Smartsheet instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora MySQL 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 MySQL.
Stacksync mirrors Users and Groups, Sheets, Rows, Columns from Smartsheet into Foreign keys, Stored procedures and triggers, Databases (schemas), Tables in AWS Aurora MySQL 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.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Records from Smartsheet are ordinary rows in AWS Aurora MySQL; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in AWS Aurora MySQL and Stacksync propagates the change into Smartsheet, replacing custom integration code.
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 MySQL objects | Smartsheet objects | How this pairing syncs | |
|---|---|---|---|
| Rows Inserted, updated, and deleted individually or in bulk during two-way 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 MySQL data types are mapped to the paired system's field types during schema setup. | 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. | |
| Views Can serve as read-only sync sources for derived or filtered datasets. | Cells Row-by-column values; writes must match the column type and no single cell can exceed 4,000 characters. | Views is specific to AWS Aurora MySQL and Cells to Smartsheet — each maps to any object or custom field on the other side. | |
| Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. | Reports Read-only roll-ups spanning multiple sheets; pulled into a warehouse for cross-sheet reporting, capped at 50,000 rows. | Foreign keys is specific to AWS Aurora MySQL and Reports to Smartsheet — each maps to any object or custom field on the other side. | |
| Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. | Attachments Files linked to rows or sheets; posting one carries a 10x rate cost, so bulk file sync is throttled to 30 per minute. | Stored procedures and triggers is specific to AWS Aurora MySQL and Attachments to Smartsheet — each maps to any object or custom field on the other side. | |
| Databases (schemas) Logical namespaces that scope which tables a sync connection can see. | Discussions and Comments Threaded comments on rows and sheets; read out to sync collaboration history or activity into another system. | Databases (schemas) is specific to AWS Aurora MySQL and Discussions and Comments 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 MySQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns 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 MySQL 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 MySQL–Smartsheet connection.
Changes in AWS Aurora MySQL or Smartsheet instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora MySQL 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 MySQL or Smartsheet record.
Track your AWS Aurora MySQL ⇄ Smartsheet sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora MySQL 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 MySQL 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 MySQL 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 MySQL and Smartsheet: authenticate both systems, choose the objects to sync (such as AWS Aurora MySQL's Rows and Columns), map fields visually, and changes propagate both ways in milliseconds — no code required.
Smartsheet: Cell writes must match the column type (CONTACT_LIST, PICKLIST, DATE, CHECKBOX), so mappings have to respect each column's definition. AWS Aurora MySQL: Read replicas share the cluster storage volume, letting syncs read from a replica endpoint without adding load to the writer. Stacksync's field mapping accounts for these differences between AWS Aurora MySQL 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 MySQL 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 MySQL and Smartsheet connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora MySQL–Smartsheet integration in-house.
Yes — Stacksync ships production-grade connectors for both AWS Aurora MySQL and Smartsheet. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on AWS Aurora MySQL: Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback. On Smartsheet: Sheet-scoped webhooks subscribed to *.* events notify on row and cell changes; otherwise polling on sheet and row modifiedAt timestamps. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 455 integrations available for AWS Aurora MySQL and Smartsheet.