Real-time
Two-way sync
Changes in Asana or AWS Aurora PostgreSQL instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Database
Asana to AWS Aurora PostgreSQL integration — real-time, two-way sync
Keep Asana and AWS Aurora PostgreSQL in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Asana and AWS Aurora PostgreSQL
Mirror Asana's data into AWS Aurora PostgreSQL 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 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 PostgreSQL.
Stacksync mirrors Tags, Teams / Workspaces, Tasks, Projects from Asana into Replication slots and publications, Databases and schemas, Tables, Rows 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 Asana, so the tool and the database never disagree.
Common use cases
- 01 Two-way sync of Tasks and their Custom fields between an Asana project and Postgres so ops teams work in SQL while project owners stay in Asana.
- 02 Write closed deals or new orders from a CRM or ERP into Asana Tasks to launch delivery, onboarding, or fulfillment projects automatically.
- 03 Expose ERP records such as customers, orders, and invoices as Postgres tables the engineering team can query and update with plain SQL.
- 04 Capture row-level changes with logical replication and propagate them to SaaS tools without batch jobs.
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 Asana with a query
Records from Asana are ordinary rows in AWS Aurora PostgreSQL; join them, index them, and use them in application logic without touching the vendor API.
Automate Asana from your codebase
Write to the synced tables in AWS Aurora PostgreSQL and Stacksync propagates the change into Asana, replacing custom integration code.
What you can sync between Asana and AWS Aurora PostgreSQL
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 PostgreSQL objects | How this pairing syncs | |
|---|---|---|---|
| Tasks The primary unit of work and main record; created, updated, completed, and deleted via REST and synced two-way. Subtasks are Tasks with a parent reference. | Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | Tasks is specific to Asana and Databases and schemas to AWS Aurora PostgreSQL — each maps to any object or custom field on the other side. | |
| Projects Collections of Tasks with a layout (list, board, timeline, calendar); each project maps to a synced table scope and its custom fields define the mapping. | Tables The core sync unit; rows are matched across systems by primary key. | Projects is specific to Asana and Tables to AWS Aurora PostgreSQL — each maps to any object or custom field on the other side. | |
| Sections Ordered groupings of Tasks within a project; synced as a grouping attribute or category field on the row. | Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | Sections is specific to Asana and Rows to AWS Aurora PostgreSQL — 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 Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Custom fields is specific to Asana and Columns to AWS Aurora PostgreSQL — 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 constraints Identify rows for upserts and enforce integrity on sync writes. | Stories is specific to Asana and Primary keys and constraints to AWS Aurora PostgreSQL — 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 and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | Users is specific to Asana and Views and materialized views to AWS Aurora PostgreSQL — each maps to any object or custom field on the other side. |
How changes propagate between Asana and AWS Aurora PostgreSQL
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.
Asana AWS Aurora PostgreSQL Sub-second propagation
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 PostgreSQL as a row-level write, with types converted between the two schemas.
AWS Aurora PostgreSQL Asana Sub-second propagation
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 Asana through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Asana: Per token: 1,500 requests/minute on paid plans, 150/minute on free; the Search API is capped at 60/minute; concurrency caps at 50 GET and 15 write requests. Exceeding a limit returns HTTP 429 with a Retry-After header, and a separate cost-based limiter applies to complex graph traversals.
What ships with Asana ⇄ AWS Aurora PostgreSQL
Connect Asana and AWS Aurora PostgreSQL for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Asana–AWS Aurora PostgreSQL connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Asana or AWS Aurora PostgreSQL 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 Asana or AWS Aurora PostgreSQL record.
Observability
Monitoring
Track your Asana ⇄ AWS Aurora PostgreSQL sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Asana and AWS Aurora PostgreSQL.
How the Asana and AWS Aurora PostgreSQL connectors work
Asana
- Integration surface
- 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
- Change detection
- 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
- Capabilities
- read · write · webhooks
- Rate limits
- Per token: 1,500 requests/minute on paid plans, 150/minute on free; the Search API is capped at 60/minute; concurrency caps at 50 GET and 15 write requests. Exceeding a limit returns HTTP 429 with a Retry-After header, and a separate cost-based limiter applies to complex graph traversals.
AWS Aurora PostgreSQL
- Integration surface
- SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
- Authentication
- Database credentials, optionally AWS IAM database authentication, over TLS
- Change detection
- Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback
- Capabilities
- read · write · CDC
How it works
How to connect Asana to AWS Aurora PostgreSQL — 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.
- 01
Connect your apps
Authenticate Asana and AWS Aurora PostgreSQL with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Asana
connected
AWS Aurora PostgreSQL
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Asana and AWS Aurora PostgreSQL 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.
objects · Asana ⇄ AWS Aurora PostgreSQLCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Asana AWS Aurora PostgreSQLCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Asana and AWS Aurora PostgreSQL integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Asana and AWS Aurora PostgreSQL: authenticate both systems, choose the objects to sync (such as Asana's Tasks and Projects), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for Asana and AWS Aurora PostgreSQL: 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 PostgreSQL: SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. Stacksync manages authentication, retries, and rate limits on both sides.
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Asana: Webhooks are established per resource with an X-Hook-Secret handshake and filtered by resource type and action, so a sync covering many projects registers and maintains a webhook on each target. AWS Aurora PostgreSQL: Logical replication uses publications and replication slots, so CDC reads changes from the write-ahead log without polling production tables. Stacksync's field mapping accounts for these differences between Asana and AWS Aurora PostgreSQL without custom code.
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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 Asana and AWS Aurora PostgreSQL records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Asana and AWS Aurora PostgreSQL connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Asana–AWS Aurora PostgreSQL integration in-house.
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 457 integrations available for Asana and AWS Aurora PostgreSQL.
Popular · 7 of 457
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Asana ⇄ IBM Db2 -
Asana ⇄ Firebase -
Asana ⇄ SingleStore -
Asana ⇄ Amazon Aurora -
AWS Aurora PostgreSQL ⇄ Servicemax -
AWS Aurora PostgreSQL ⇄ Adobe Sign -
AWS Aurora PostgreSQL ⇄ Docusign
No integrations match .
