Real-time
Two-way sync
Changes in Asana or BigQuery instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Data warehouse
Asana to BigQuery integration — real-time, two-way sync
Keep Asana and BigQuery 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
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Asana and BigQuery
Get the data locked inside Asana into BigQuery as live tables, and send results back where Asana can use them, without writing a pipeline.
Whatever Asana is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.
Stacksync syncs Teams / Workspaces, Tasks, Projects, Sections from Asana into tables in BigQuery continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in BigQuery can also be written back into fields in Asana where the tool can use them.
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 Feed ML feature tables in BigQuery from operational systems on a continuous schedule
- 04 Land CRM and ERP records in BigQuery continuously so dashboards reflect business systems without nightly batch jobs
Common sync patterns
History that outlives the tool
A continuously synced copy in BigQuery preserves a queryable record even as data ages out of Asana or gets changed inside it.
Analytics on Asana's data
Records and events from Asana land in BigQuery as queryable tables, current within seconds and ready to join with the rest of the warehouse.
Cross-tool reporting
Combine Asana's data with data from every other synced system to answer questions no single tool can.
What you can sync between Asana and BigQuery
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 | BigQuery objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Projects Connection scope: the service account grants access per project. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. Custom fields on either side are included in the mapping. | |
| Teams / Workspaces Organizational containers that hold projects and members; used to scope which projects a given sync covers. | Datasets Organizational container — you pick which dataset’s tables to sync. | Teams / Workspaces is specific to Asana and Datasets to BigQuery — each maps to any object or custom field on the other side. | |
| 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. | Tables The syncable unit: only tables can be synced per the Stacksync docs. | Tasks is specific to Asana and Tables to BigQuery — 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. | Partitioned tables Synced like regular tables; partition columns map to target fields. | Sections is specific to Asana and Partitioned tables to BigQuery — 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. | Clustered tables Supported; clustering is transparent to the sync. | Custom fields is specific to Asana and Clustered tables to BigQuery — each maps to any object or custom field on the other side. |
How changes propagate between Asana and BigQuery
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 BigQuery 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 BigQuery as a row-level write, with types converted between the two schemas.
BigQuery Asana Sub-second propagation
DetectionChanges in BigQuery are captured at the source via change data capture — no polling loop against its API. Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen").
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.
- BigQuery: Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes.
What ships with Asana ⇄ BigQuery
Connect Asana and BigQuery for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Asana–BigQuery connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Asana or BigQuery 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 BigQuery record.
Observability
Monitoring
Track your Asana ⇄ BigQuery 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 BigQuery.
How the Asana and BigQuery 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.
BigQuery
- Integration surface
- GoogleSQL via the BigQuery REST API, client libraries, JDBC/ODBC drivers, and the Storage Read/Write APIs
- Authentication
- Google Cloud service account: create a dedicated service account, grant roles (BigQuery Data Editor, BigQuery Job User, Cloud Functions Service Agent, Cloud Run Developer, Eventarc Event Receiver
- Change detection
- Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen") with a Cloud Run "secure portal for real-time notification service in
- Capabilities
- read · write · CDC
- Rate limits
- Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes
How it works
How to connect Asana to BigQuery — 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 BigQuery 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
BigQuery
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Asana and BigQuery 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 ⇄ BigQueryCustomers 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 BigQueryCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Asana and BigQuery integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Asana and BigQuery: authenticate both systems, choose the objects to sync (such as Asana's Projects and Teams / Workspaces), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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. BigQuery: The Storage Write API supports high-throughput streaming ingestion, which suits continuous sync loads better than legacy streaming inserts. Stacksync's field mapping accounts for these differences between Asana and BigQuery 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 BigQuery 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 BigQuery connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Asana–BigQuery integration in-house.
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Yes — Stacksync ships production-grade connectors for both Asana and BigQuery. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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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 BigQuery: Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen") with a Cloud Run "secure portal for real-time notification service in. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 547 integrations available for Asana and BigQuery.
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