Real-time
Real-time sync
Changes in Adobeanalytics or Sage 300 instantly reflect in both systems. No stale data, no manual imports.
Analytics ⇄ ERP
Adobeanalytics to Sage 300 integration — real-time data sync
Keep Adobeanalytics and Sage 300 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 Adobeanalytics and Sage 300
Put Sage 300's records into Adobeanalytics as live data for reporting and dashboards, without nightly exports, and send the segments and metrics Adobeanalytics computes back where Sage 300 can use them.
Adobeanalytics is a read-only source: Stacksync reads its data in real time and delivers it into Sage 300, so Sage 300 always reflects the current state of Adobeanalytics — without exports, scripts, or schedulers.
ERP data is some of the most requested data for analysis and some of the hardest to pull: the record types are many, the APIs are strict, and export jobs break on every upgrade. Whether Sage 300 carries financials, operations, workforce data, or all three, those numbers belong in Adobeanalytics, next to the product, behavioral, and web data the team already measures.
Common use cases
- 01 Load report data on a schedule into a reporting database for executive dashboards without manual Analysis Workspace exports or Report Builder pulls.
- 02 Sync Segment definitions into a marketing database so downstream tools target the same audiences Adobe Analytics computes.
- 03 Write web and EDI orders into Order Entry and return order status to the source channel.
- 04 Replicate GL, AR, and AP detail to a warehouse for consolidated multi-company reporting.
Common sync patterns
Where Sage 300 runs order-to-cash: customer and account analytics
Orders, invoices, and account records from Sage 300 join the behavioral and usage data Adobeanalytics already tracks, so customer analysis spans activity and dollars in one view.
Where Sage 300 runs operations: inventory and fulfillment metrics
Operational records from Sage 300 become measurable in Adobeanalytics, joinable with the rest of what the company tracks for supply and fulfillment reporting.
Where Sage 300 is the HR system of record: workforce and cost analysis
Worker and organization data from Sage 300 syncs into Adobeanalytics for headcount, cost, and utilization reporting alongside other company data.
What you can sync between Adobeanalytics and Sage 300
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.
| Adobeanalytics objects | Sage 300 objects | How this pairing syncs | |
|---|---|---|---|
| Users Users in the Analytics company, read via GET /users and /users/me; loaded for access, entitlement, and identity reconciliation reporting. | GL Accounts Chart of accounts read for transaction mapping across integrations. | Users is specific to Adobeanalytics and GL Accounts to Sage 300 — each maps to any object or custom field on the other side. | |
| Usage and Access Logs Admin audit and usage logs of report and tool activity, read via the usage/audit-log endpoints; loaded for security, governance, and adoption reporting. | Journal Batches GL entries staged in batches that must be posted; a common write target for external systems. | Usage and Access Logs is specific to Adobeanalytics and Journal Batches to Sage 300 — each maps to any object or custom field on the other side. | |
| Reports Core reporting endpoint (POST /reports on analytics.adobe.io); returns ranked or trended report data for chosen metrics broken down by dimensions over a date range, with optional segment filters. The main dataset Stacksync reads out. | Order Entry Orders Sales orders written from e-commerce or EDI feeds. | Reports is specific to Adobeanalytics and Order Entry Orders to Sage 300 — each maps to any object or custom field on the other side. | |
| Dimensions Available report dimensions (eVars, props, and standard dimensions) per report suite, read via GET /dimensions; pulled as reporting metadata to build report requests and mirror the model. | Purchase Orders Procurement documents read for spend visibility and receiving. | Dimensions is specific to Adobeanalytics and Purchase Orders to Sage 300 — each maps to any object or custom field on the other side. | |
| Metrics Standard metrics available for a report suite, read via GET /metrics; read as metadata to construct report requests and document available measures. | Inventory Items Item master with costing and quantities, synced to storefronts and WMS. | Metrics is specific to Adobeanalytics and Inventory Items to Sage 300 — each maps to any object or custom field on the other side. | |
| Calculated Metrics User-defined derived metrics, read via GET /calculatedmetrics; mirrored so downstream tools reference the same calculated-metric definitions. | AR Invoices and Receipts Billing and payment records replicated for cash and revenue reporting. | Calculated Metrics is specific to Adobeanalytics and AR Invoices and Receipts to Sage 300 — each maps to any object or custom field on the other side. |
How changes propagate between Adobeanalytics and Sage 300
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.
Adobeanalytics Sage 300 Interval-based propagation
DetectionStacksync polls Adobeanalytics for changes on an incremental schedule, reading only records changed since the previous pass. Pull-based over a date range: reports are requested for a from/to window and re-queried on a schedule.
DeliveryEach detected change is applied to Sage 300 as a row-level write, with types converted between the two schemas.
Sage 300 Adobeanalytics Interval-based propagation
DetectionStacksync polls Sage 300 for changes on an incremental schedule, reading only records changed since the previous pass. Scheduled polling.
DeliveryAdobeanalytics does not accept inbound record writes, so this direction carries requests rather than records: Adobeanalytics's output flows back as field updates on the originating Sage 300 records.
Rate-limit considerations
- Adobeanalytics: The Analytics 2.0 API enforces 12 requests per 6 seconds (about 120 per minute) per user; exceeding it returns HTTP 429 with error_code 429050. A separate per-report-suite reporting-engine throttle can slow large requests without returning an error.
What ships with Adobeanalytics ⇄ Sage 300
Connect Adobeanalytics and Sage 300 for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Adobeanalytics–Sage 300 connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Adobeanalytics or Sage 300 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 Adobeanalytics or Sage 300 record.
Observability
Monitoring
Track your Adobeanalytics ⇄ Sage 300 sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Adobeanalytics and Sage 300.
How the Adobeanalytics and Sage 300 connectors work
Adobeanalytics
- Integration surface
- Analytics 2.0 REST API on analytics.adobe.io for reporting and components; Data Feeds and Data Warehouse for raw hit-level export; Data Insertion and Bulk Data Insertion (CSV) APIs for inbound server-side collection.
- Authentication
- OAuth Server-to-Server via the Adobe Developer Console (JWT service-account auth was deprecated January 1, 2025). The company's global company ID is sent in the x-proxy-global-company-id header, and the integration needs at least the Report Suites, Metrics, and Dimensions permission groups.
- Change detection
- Pull-based over a date range: reports are requested for a from/to window and re-queried on a schedule. No change-data-capture feed or report-data webhooks; Adobe recommends not polling for new data faster than every 30 minutes and caching results.
- Capabilities
- read
- Rate limits
- The Analytics 2.0 API enforces 12 requests per 6 seconds (about 120 per minute) per user; exceeding it returns HTTP 429 with error_code 429050. A separate per-report-suite reporting-engine throttle can slow large requests without returning an error.
Sage 300
- Integration surface
- Sage 300 Web API (REST) on newer releases; .NET/COM SDK and direct SQL Server access on-prem
- Authentication
- Sage 300 user credentials (Basic auth on the Web API); database credentials for direct SQL reads
- Change detection
- Scheduled polling; batch-oriented modules with no webhook surface
- Capabilities
- read · write
How it works
How to connect Adobeanalytics to Sage 300 — 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 Adobeanalytics and Sage 300 with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Adobeanalytics
connected
Sage 300
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Adobeanalytics and Sage 300 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 · Adobeanalytics ⇄ Sage 300Customers 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.
Adobeanalytics Sage 300Company company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Adobeanalytics and Sage 300 integration FAQ
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Yes. Stacksync provides a managed, real-time integration between Adobeanalytics and Sage 300 — Adobeanalytics is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
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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 Adobeanalytics and Sage 300 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 Adobeanalytics and Sage 300 connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Adobeanalytics–Sage 300 integration in-house.
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Yes — Stacksync ships production-grade connectors for both Adobeanalytics and Sage 300. 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 Adobeanalytics: Pull-based over a date range: reports are requested for a from/to window and re-queried on a schedule. No change-data-capture feed or report-data webhooks; Adobe recommends not polling for new data faster than every 30 minutes and caching results. On Sage 300: Scheduled polling; batch-oriented modules with no webhook surface. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Adobeanalytics side: Metrics, Calculated Metrics, Segments, Date Ranges, plus custom fields where Adobeanalytics exposes them. On the Sage 300 side: Inventory Items, AR Invoices and Receipts, AR Customers, AP Vendors. Stacksync auto-detects both schemas and converts types between the two systems.
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:
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