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Database ⇄ Business productivity

AWS Aurora MySQL to Smartsheet integration — real-time, two-way sync

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.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect AWS Aurora MySQL and Smartsheet

Mirror Smartsheet's data into AWS Aurora MySQL so your own code can read and write it like any other table, with changes flowing both ways in seconds.

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.

Common use cases

  • 01 Two-way sync a project-tracker Sheet's Rows with a Postgres table so engineering works in SQL while project managers stay in Smartsheet.
  • 02 Write records from a CRM or ERP into Smartsheet Rows so ops teams manage intake and status in a grid, then push status Cells back to the source.
  • 03 Stream row changes from Aurora into SaaS tools via binlog CDC instead of scheduled batch exports.
  • 04 Sync a production Aurora cluster with an analytics database while filtering out sensitive columns.

Common sync patterns

One integration pattern for the whole stack

Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.

Read Smartsheet with a query

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.

Automate Smartsheet from your codebase

Write to the synced tables in AWS Aurora MySQL and Stacksync propagates the change into Smartsheet, replacing custom integration code.

What you can sync between AWS Aurora MySQL and Smartsheet

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.

How changes propagate between AWS Aurora MySQL and Smartsheet

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.

AWS Aurora MySQL Smartsheet Sub-second propagation

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.

Smartsheet AWS Aurora MySQL Sub-second propagation

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.

Rate-limit considerations

  • Smartsheet: 300 requests per minute per access token; heavy calls like posting attachments cost 10x (30/min). A 429 returns errorCode 4003, back off ~60s.
What ships with AWS Aurora MySQL ⇄ Smartsheet

Connect AWS Aurora MySQL and Smartsheet for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–Smartsheet connection.

Real-time

Two-way sync

Changes in AWS Aurora MySQL or Smartsheet instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora MySQL or Smartsheet data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single AWS Aurora MySQL or Smartsheet record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ Smartsheet sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between AWS Aurora MySQL and Smartsheet.

How the AWS Aurora MySQL and Smartsheet connectors work

AWS Aurora MySQL

Integration surface
SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback
Capabilities
read · write · CDC

Smartsheet

Integration surface
REST API (v2.0)
Authentication
OAuth 2.0 authorization-code flow, or a raw/personal API access token passed as a Bearer header
Change detection
Sheet-scoped webhooks subscribed to *.* events notify on row and cell changes; otherwise polling on sheet and row modifiedAt timestamps
Capabilities
read · write · webhooks
Rate limits
300 requests per minute per access token; heavy calls like posting attachments cost 10x (30/min). A 429 returns errorCode 4003, back off ~60s.
How it works

How to connect AWS Aurora MySQL to Smartsheet — three steps, no code

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.

  1. 01

    Connect your apps

    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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    AWS Aurora MySQL connected
    Smartsheet connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · AWS Aurora MySQL ⇄ Smartsheet
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    AWS Aurora MySQL Smartsheet
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

AWS Aurora MySQL and Smartsheet integration FAQ

SECURITY

Security teams trust Stacksync

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.

SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

Related integrations

Every pair below is a real-time, two-way sync. Search all 455 integrations available for AWS Aurora MySQL and Smartsheet.

Popular · 7 of 455
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