Two-way sync
Changes in Amazon S3 or ConnectWise instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon S3 and ConnectWise in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
ConnectWise and Amazon S3 hold different kinds of data. ConnectWise 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 ConnectWise produces has to be kept somewhere durable, and many of the files Amazon S3 stores are the very documents ConnectWise's records point to.
Stacksync syncs Activities, Companies, Contacts, Service Tickets in ConnectWise with Objects, Object metadata, Object tags, Object versions in Amazon S3 in real time. Records and attachments created in ConnectWise 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 ConnectWise, 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.
Structured records from ConnectWise land in Amazon S3 as objects a data lake, search index, or processing pipeline can read, without a custom extract to build and babysit.
Records and events from ConnectWise — 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.
Documents attached to records in ConnectWise 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.
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 | ConnectWise objects | How this pairing syncs | |
|---|---|---|---|
| Buckets Top-level, region-scoped containers that hold objects; enumerated to discover the namespaces and prefixes a sync should cover. | Contacts People attached to companies, commonly synced against CRM contact records. | Buckets is specific to Amazon S3 and Contacts to ConnectWise — 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. | Service Tickets Support and service desk tickets, including status, board, and priority fields. | Objects is specific to Amazon S3 and Service Tickets to ConnectWise — 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. | Opportunities Sales pipeline records synced to CRMs for forecasting and handoff. | Object metadata is specific to Amazon S3 and Opportunities to ConnectWise — 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. | Agreements Recurring contracts and managed-service agreements used for billing reconciliation. | Object tags is specific to Amazon S3 and Agreements to ConnectWise — each maps to any object or custom field on the other side. | |
| 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. | Projects Project and phase records synced for delivery tracking outside the PSA. | Object versions is specific to Amazon S3 and Projects to ConnectWise — each maps to any object or custom field on the other side. | |
| Prefixes (folders) Logical path segments in object keys used to scope a sync and to parallelize throughput, since S3 rate limits partition by prefix. | Time Entries Logged technician time, often exported for payroll and invoicing checks. | Prefixes (folders) is specific to Amazon S3 and Time Entries to ConnectWise — 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 ConnectWise through its API, with automatic retries and rate-limit backoff.
DetectionConnectWise notifies Stacksync of record changes through webhook events. Callbacks (webhooks) on record changes, supplemented by polling on last-updated fields.
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–ConnectWise connection.
Changes in Amazon S3 or ConnectWise instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon S3 or ConnectWise 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 ConnectWise record.
Track your Amazon S3 ⇄ ConnectWise sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon S3 and ConnectWise.
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 ConnectWise 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 ConnectWise 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 ConnectWise: authenticate both systems, choose the objects to sync (such as Amazon S3's Buckets and Objects), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Amazon S3 and ConnectWise: Feed a data lake or downstream pipeline; Archive what ConnectWise produces into Amazon S3; Where ConnectWise generates attachments: keep the files in Amazon S3. Structured records from ConnectWise land in Amazon S3 as objects a data lake, search index, or processing pipeline can read, without a custom extract to build and babysit.
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. ConnectWise: REST API. Authentication: Public/private API key pair for an API member, combined with a registered clientId, sent via Basic authentication. Stacksync manages authentication, retries, and rate limits on both sides.
ConnectWise: The ConnectWise PSA REST API is organized by functional module (Company, Service, Sales, Finance, Procurement, Project, System), each with its own resource endpoints. Amazon S3: S3 provides strong read-after-write consistency for all operations, but it has no built-in change feed — near-real-time detection depends on S3 Event Notifications or EventBridge being configured on the bucket. Stacksync's field mapping accounts for these differences between Amazon S3 and ConnectWise 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 ConnectWise 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 ConnectWise connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon S3–ConnectWise integration in-house.
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.
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Every pair below is a real-time, two-way sync. Search all 490 integrations available for Amazon S3 and ConnectWise.