Two-way sync
Changes in Asana or MySQL instantly reflect in both systems. No stale data, no manual imports.
Keep Asana and 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 MySQL.
Stacksync mirrors Stories, Users, Portfolios, Tags from Asana into Tables, Views, Columns, Primary and Unique Keys in 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.
Records from Asana are ordinary rows in MySQL; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in MySQL and Stacksync propagates the change into Asana, replacing custom integration code.
Updates in Asana arrive as row changes in MySQL, so triggers, jobs, and services can respond in near real time.
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 | MySQL objects | How this pairing syncs | |
|---|---|---|---|
| Sections Ordered groupings of Tasks within a project; synced as a grouping attribute or category field on the row. | Views Read-side projections used as outbound sync sources. | Sections is specific to Asana and Views to MySQL — each maps to any object or custom field on the other side. | |
| 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 Field-level mapping targets with engine-typed values. | Custom fields is specific to Asana and Columns to 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 and Unique Keys Match keys for idempotent upserts and conflict handling. | Stories is specific to Asana and Primary and Unique Keys to 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. | JSON Columns Validated semi-structured payloads for nested SaaS data. | Users is specific to Asana and JSON Columns to 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). | Stored Procedures Server-side logic that can post-process synced rows. | Portfolios is specific to Asana and Stored Procedures to 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. | Triggers An alternative change-capture mechanism when binlog access is unavailable. | Tags is specific to Asana and Triggers to 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 MySQL as a row-level write, with types converted between the two schemas.
DetectionChanges in MySQL are captured at the source via change data capture — no polling loop against its API. Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when.
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–MySQL connection.
Changes in Asana or MySQL instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Asana or 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 MySQL record.
Track your Asana ⇄ MySQL sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Asana and 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 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 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 MySQL: authenticate both systems, choose the objects to sync (such as Asana's Sections and Custom fields), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Asana and MySQL. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 MySQL: Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when binary logging is enabled). Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Asana side: Stories, Users, Portfolios, Tags, plus custom fields where Asana exposes them. On the MySQL side: Tables, Views, Columns, Primary and Unique Keys. 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 MySQL: Read Asana with a query; Automate Asana from your codebase; React to changes as they happen. Records from Asana are ordinary rows in MySQL; join them, index them, and use them in application logic without touching the vendor API.
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 551 integrations available for Asana and MySQL.