Two-way sync
Changes in Asana or AWS Aurora MySQL instantly reflect in both systems. No stale data, no manual imports.
Keep Asana and AWS Aurora MySQL 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 Asana 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 Portfolios, Tags, Teams / Workspaces, Tasks from Asana into Stored procedures and triggers, Databases (schemas), Tables, Rows 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 Asana, 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 Asana 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 Asana, 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.
| Asana objects | AWS Aurora MySQL objects | How this pairing syncs | |
|---|---|---|---|
| Custom fields Typed fields (text, number, enum, multi-enum, date, people) defined at project or workspace level; mapped to database columns, with enum values written by option GID. | Columns MySQL data types are mapped to the paired system's field types during schema setup. | Custom fields is specific to Asana and Columns to AWS Aurora MySQL — each maps to any object or custom field on the other side. | |
| Stories Comments and activity entries on a Task; read out for history and reporting or written back as comments. | Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. | Stories is specific to Asana and Primary keys and indexes to AWS Aurora MySQL — each maps to any object or custom field on the other side. | |
| Users Members of a workspace or organization referenced by assignee and follower fields; read to resolve GIDs to names and emails. | Views Can serve as read-only sync sources for derived or filtered datasets. | Users is specific to Asana and Views to AWS Aurora MySQL — each maps to any object or custom field on the other side. | |
| Portfolios Collections of Projects for program-level rollup; read for cross-project status and progress reporting (Business and Enterprise). | Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. | Portfolios is specific to Asana and Foreign keys to AWS Aurora MySQL — each maps to any object or custom field on the other side. | |
| Tags Labels applied across Tasks; synced as a many-to-many attribute for filtering and categorization. | Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. | Tags is specific to Asana and Stored procedures and triggers to AWS Aurora MySQL — each maps to any object or custom field on the other side. | |
| Teams / Workspaces Organizational containers that hold projects and members; used to scope which projects a given sync covers. | Databases (schemas) Logical namespaces that scope which tables a sync connection can see. | Teams / Workspaces is specific to Asana and Databases (schemas) to AWS Aurora MySQL — 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.
DetectionAsana notifies Stacksync of record changes through webhook events. Resource-scoped webhooks (established with an X-Hook-Secret handshake) POST events on create, change, and delete.
DeliveryEach detected change is applied to AWS Aurora MySQL as a row-level write, with types converted between the two schemas.
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 Asana through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Asana–AWS Aurora MySQL connection.
Changes in Asana or AWS Aurora MySQL instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Asana or AWS Aurora MySQL data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Asana or AWS Aurora MySQL record.
Track your Asana ⇄ AWS Aurora MySQL sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Asana and AWS Aurora MySQL.
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 Asana and AWS Aurora MySQL 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 Asana and AWS Aurora MySQL 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 Asana and AWS Aurora MySQL: authenticate both systems, choose the objects to sync (such as Asana's Custom fields and Stories), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Asana: Resource-scoped webhooks (established with an X-Hook-Secret handshake) POST events on create, change, and delete; the sync-token Events API returns incremental changes on a task or project when webhooks are not used. On AWS Aurora MySQL: Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns 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 Asana side: Portfolios, Tags, Teams / Workspaces, Tasks, plus custom fields where Asana exposes them. On the AWS Aurora MySQL side: Stored procedures and triggers, Databases (schemas), Tables, Rows. 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 Asana and AWS Aurora MySQL: One integration pattern for the whole stack; Read Asana with a query; Automate Asana from your codebase. Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Asana: REST API (app.asana.com/api/1.0, JSON responses), plus resource-scoped Webhooks and a sync-token Events API. Authentication: OAuth 2.0 for multi-user apps, Personal Access Tokens (PATs) for single-account use and testing, and organization-scoped Service Accounts (Enterprise) for admin-level access. AWS Aurora MySQL: SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. 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 455 integrations available for Asana and AWS Aurora MySQL.