Two-way sync
Changes in Amazon S3 or Asana instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon S3 and Asana in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Asana and Amazon S3 hold different kinds of data. Asana carries records and the activity around them — the tickets, messages, orders, or issues a team works through, often with documents attached. Amazon S3 holds files and the metadata that describes them. Where the two meet is narrow but real: much of what Asana produces has to be kept somewhere durable, and many of the files Amazon S3 stores are the very documents Asana's records point to.
Stacksync syncs Projects, Sections, Custom fields, Stories in Asana with Buckets, Objects, Object metadata, Object tags in Amazon S3 in real time. Records and attachments created in Asana are written into Amazon S3 as objects or files within seconds of being created. In the other direction, the metadata Amazon S3 keeps about those files — name, location, owner, modified date — flows back onto the matching record in Asana, so people see the current document without leaving the tool. Field-level mapping controls exactly what crosses over and in which direction, so you keep a durable copy of what matters without an extract to schedule or a nightly dump that leaves the copy a day behind.
Documents attached to records in Asana land in the storage system automatically, with the source record holding a link back, so files live in one governed place instead of inside the tool.
A file's name, location, owner, and modified date from Amazon S3 sync onto the matching record in Asana, so whoever is working there sees the current version without switching tools.
A continuously synced copy in Amazon S3 preserves records and documents even as they age out of Asana or get changed inside it, so history stays intact and reachable.
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.
| Amazon S3 objects | Asana objects | How this pairing syncs | |
|---|---|---|---|
| Prefixes (folders) Logical path segments in object keys used to scope a sync and to parallelize throughput, since S3 rate limits partition by prefix. | Teams / Workspaces Organizational containers that hold projects and members; used to scope which projects a given sync covers. | Prefixes (folders) is specific to Amazon S3 and Teams / Workspaces to Asana — each maps to any object or custom field on the other side. | |
| Multipart uploads In-progress large-object uploads assembled from parts; objects above ~100 MB (required above 5 GB) are written this way, and incomplete uploads persist until completed or aborted. | 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. | Multipart uploads is specific to Amazon S3 and Tasks to Asana — each maps to any object or custom field on the other side. | |
| Buckets Top-level, region-scoped containers that hold objects; enumerated to discover the namespaces and prefixes a sync should cover. | 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. | Buckets is specific to Amazon S3 and Projects to Asana — each maps to any object or custom field on the other side. | |
| Objects Files stored under a key; content is read with GET and written with PUT, and each object's key/size/ETag/LastModified is the unit indexed into a database. | Sections Ordered groupings of Tasks within a project; synced as a grouping attribute or category field on the row. | Objects is specific to Amazon S3 and Sections to Asana — each maps to any object or custom field on the other side. | |
| Object metadata System metadata (Content-Type, size, ETag, LastModified) plus user-defined x-amz-meta-* headers; user metadata is fixed at write time and only changeable by rewriting the object. | 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. | Object metadata is specific to Amazon S3 and Custom fields to Asana — each maps to any object or custom field on the other side. | |
| Object tags Up to 10 key-value tags per object, mutable in place via the tagging API independent of content, so classification and retention labels sync two-way without rewriting files. | Stories Comments and activity entries on a Task; read out for history and reporting or written back as comments. | Object tags is specific to Amazon S3 and Stories to Asana — 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.
DetectionAmazon S3 notifies Stacksync of record changes through webhook events. S3 Event Notifications push object-created, object-removed, and object-tagging events to SNS, SQS, Lambda, or EventBridge.
DeliveryEach detected change is written to Asana through its API, with automatic retries and rate-limit backoff.
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 written to Amazon S3 through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon S3–Asana connection.
Changes in Amazon S3 or Asana instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon S3 or Asana data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon S3 or Asana record.
Track your Amazon S3 ⇄ Asana sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon S3 and Asana.
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 Amazon S3 and Asana 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 Amazon S3 and Asana 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 Amazon S3 and Asana: authenticate both systems, choose the objects to sync (such as Amazon S3's Prefixes (folders) and Multipart uploads), map fields visually, and changes propagate both ways in milliseconds — no code required.
Amazon S3: S3 REST API (also via AWS SDKs and the S3-compatible endpoint). Authentication: AWS IAM credentials — an access key ID and secret access key signed with AWS Signature Version 4; supports temporary STS credentials and cross-account IAM roles. 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. Stacksync manages authentication, retries, and rate limits on both sides.
Asana: The API is REST/JSON with offset-token pagination (limit and offset params), so large projects are read page by page rather than in one call. Amazon S3: S3 stores opaque objects, not rows — there is no schema or query language, so listing is done with ListObjectsV2 (1,000 keys per page) and metadata must be indexed externally to be queryable. Stacksync's field mapping accounts for these differences between Amazon S3 and Asana without custom code.
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 Amazon S3 and Asana records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon S3 and Asana connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon S3–Asana integration in-house.
Yes — Stacksync ships production-grade connectors for both Amazon S3 and Asana. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 502 integrations available for Amazon S3 and Asana.