Real-time
Two-way sync
Changes in Agiloft or Amazon S3 instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Storage
Agiloft to Amazon S3 integration — real-time, two-way sync
Keep Agiloft and Amazon S3 in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Agiloft and Amazon S3
Land the records and documents that build up in Agiloft into Amazon S3 as they are created, and surface Amazon S3's file details on the Agiloft records that point to them, without an export job to maintain.
Agiloft and Amazon S3 hold different kinds of data. Agiloft 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 Agiloft produces has to be kept somewhere durable, and many of the files Amazon S3 stores are the very documents Agiloft's records point to.
Stacksync syncs Companies, People, Attachments, Approvals in Agiloft with Object tags, Object versions, Prefixes (folders), Multipart uploads in Amazon S3 in real time. Records and attachments created in Agiloft 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 Agiloft, 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.
Common use cases
- 01 Two-way sync Contracts between Agiloft and an ERP or warehouse so value, renewal dates, and status stay current without manual re-keying.
- 02 Push generated documents and executed PDFs into Agiloft Attachments from a document system, or pull signed contracts out for archival.
- 03 Index every new Object's key, size, LastModified, and user metadata into a Postgres catalog table so applications query S3 contents in SQL instead of paging ListObjectsV2.
- 04 Two-way sync Object tags with a database so retention or classification labels set in an internal app write back onto S3 objects via the tagging API without rewriting the files.
Common sync patterns
Archive what Agiloft produces into Amazon S3
Records and events from Agiloft — tickets, messages, orders, or issues — are written into Amazon S3 as objects or files as they change, giving you a durable, addressable copy for retention and audit.
Where Agiloft generates attachments: keep the files in Amazon S3
Documents attached to records in Agiloft 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.
Where Amazon S3 holds the source documents: file details on the record
A file's name, location, owner, and modified date from Amazon S3 sync onto the matching record in Agiloft, so whoever is working there sees the current version without switching tools.
What you can sync between Agiloft and Amazon S3
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.
| Agiloft objects | Amazon S3 objects | How this pairing syncs | |
|---|---|---|---|
| People Parent table for individuals, split into Employees (internal users) and Contacts (external company contacts); synced to map signers, approvers, and account owners to CRM or HR records. | 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. | People is specific to Agiloft and Objects to Amazon S3 — each maps to any object or custom field on the other side. | |
| Attachments File records holding the executed contract PDFs and supporting documents linked to a contract; read to pull signed files out, or written to push generated documents in. | 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. | Attachments is specific to Agiloft and Object metadata to Amazon S3 — each maps to any object or custom field on the other side. | |
| Approvals Per-record approval instances generated from Approval Templates and Workflows; read to report approval status and cycle time, or written to trigger and record decisions. | 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. | Approvals is specific to Agiloft and Object tags to Amazon S3 — each maps to any object or custom field on the other side. | |
| Tasks Assigned action items with owners, due dates, and states tied to contracts or projects; synced two-way to surface Agiloft work inside a PM or operations system. | Object versions When bucket versioning is enabled every write creates a new version ID; prior versions and delete markers are readable for history and audit syncs. | Tasks is specific to Agiloft and Object versions to Amazon S3 — each maps to any object or custom field on the other side. | |
| Clause Library Reusable, approved contract clauses with metadata and categories; read to feed clause content into other systems or reporting, or maintained from an external source of truth. | Prefixes (folders) Logical path segments in object keys used to scope a sync and to parallelize throughput, since S3 rate limits partition by prefix. | Clause Library is specific to Agiloft and Prefixes (folders) to Amazon S3 — each maps to any object or custom field on the other side. | |
| Custom tables Agiloft is a no-code platform, so any customer-built table (NDAs, SOWs, vendor risk, renewals) exposes the same REST and SOAP CRUD and syncs like the standard CLM tables. | 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. | Custom tables is specific to Agiloft and Multipart uploads to Amazon S3 — each maps to any object or custom field on the other side. |
How changes propagate between Agiloft and Amazon S3
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.
Agiloft Amazon S3 Sub-second propagation
DetectionAgiloft notifies Stacksync of record changes through webhook events. Native webhook subscriptions (POST /ewws/webhooks) fire on record create, edit, or delete after a GET handshake verifies the callback URL.
DeliveryEach detected change is written to Amazon S3 through its API, with automatic retries and rate-limit backoff.
Amazon S3 Agiloft Sub-second propagation
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 Agiloft through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Agiloft: Agiloft publishes no fixed per-minute REST quota; throughput is instance-specific and bounded by license seats (Assigned/Floating Power User) and concurrent API sessions. Each SOAP/EWS call runs in its own transaction, and REST logins issue a session token meant to be reused rather than re-authenticated per call.
- Amazon S3: S3 sustains at least 3,500 PUT/COPY/POST/DELETE and 5,500 GET/HEAD requests per second per partitioned prefix and scales higher automatically; bursts can return HTTP 503 SlowDown while it repartitions.
What ships with Agiloft ⇄ Amazon S3
Connect Agiloft and Amazon S3 for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Agiloft–Amazon S3 connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Agiloft or Amazon S3 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 Agiloft or Amazon S3 record.
Observability
Monitoring
Track your Agiloft ⇄ Amazon S3 sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Agiloft and Amazon S3.
How the Agiloft and Amazon S3 connectors work
Agiloft
- Integration surface
- REST API (/ewws/rest/{kb}) and SOAP/EWS v2 web services (EWWSv2Service WSDL), plus a native Webhooks subscription API
- Authentication
- OAuth 2.0 via OAuth2 Client Setup - Authorization Code with PKCE for user-delegated apps and Client Credentials for machine-to-machine; also JWT tokens or Basic Auth with a session token from POST /ewws/rest/{kb}/login
- Change detection
- Native webhook subscriptions (POST /ewws/webhooks) fire on record create, edit, or delete after a GET handshake verifies the callback URL; otherwise poll each table by its Date Updated / modified-time fields. Agiloft has no database change-data-capture log.
- Capabilities
- read · write · webhooks
- Rate limits
- Agiloft publishes no fixed per-minute REST quota; throughput is instance-specific and bounded by license seats (Assigned/Floating Power User) and concurrent API sessions. Each SOAP/EWS call runs in its own transaction, and REST logins issue a session token meant to be reused rather than re-authenticated per call.
Amazon S3
- Integration surface
- 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
- Change detection
- S3 Event Notifications push object-created, object-removed, and object-tagging events to SNS, SQS, Lambda, or EventBridge; there is no modified-since query, so polling relies on each object's LastModified from ListObjectsV2
- Capabilities
- read · write · webhooks
- Rate limits
- S3 sustains at least 3,500 PUT/COPY/POST/DELETE and 5,500 GET/HEAD requests per second per partitioned prefix and scales higher automatically; bursts can return HTTP 503 SlowDown while it repartitions.
How it works
How to connect Agiloft to Amazon S3 — 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 Agiloft and Amazon S3 with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Agiloft
connected
Amazon S3
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Agiloft and Amazon S3 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 · Agiloft ⇄ Amazon S3Customers 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.
Agiloft Amazon S3Company company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Agiloft and Amazon S3 integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Agiloft and Amazon S3: authenticate both systems, choose the objects to sync (such as Agiloft's People and Attachments), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Agiloft: Agiloft is a no-code platform: the schema is customer-configurable, so custom tables and fields expose the same REST and SOAP CRUD as the standard CLM tables. 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 Agiloft and Amazon S3 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 Agiloft and Amazon S3 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 Agiloft and Amazon S3 connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Agiloft–Amazon S3 integration in-house.
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Yes — Stacksync ships production-grade connectors for both Agiloft and Amazon S3. 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 Agiloft: Native webhook subscriptions (POST /ewws/webhooks) fire on record create, edit, or delete after a GET handshake verifies the callback URL; otherwise poll each table by its Date Updated / modified-time fields. Agiloft has no database change-data-capture log. On Amazon S3: S3 Event Notifications push object-created, object-removed, and object-tagging events to SNS, SQS, Lambda, or EventBridge; there is no modified-since query, so polling relies on each object's LastModified from ListObjectsV2. 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
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 398 integrations available for Agiloft and Amazon S3.
Popular · 7 of 398
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Agiloft ⇄ Egnyte -
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