Real-time
Real-time sync
Changes in Adobeanalytics or Scaleway Postgres instantly reflect in both systems. No stale data, no manual imports.
Analytics ⇄ Database
Adobeanalytics to Scaleway Postgres integration — real-time data sync
Keep Adobeanalytics and Scaleway Postgres 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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Why teams connect Adobeanalytics and Scaleway Postgres
Give Adobeanalytics the users, events, and records that live in Scaleway Postgres in real time, and sync the cohorts and scores Adobeanalytics computes back into Scaleway Postgres where your applications read them.
Adobeanalytics is a read-only source: Stacksync reads its data in real time and delivers it into Scaleway Postgres, so Scaleway Postgres always reflects the current state of Adobeanalytics — without exports, scripts, or schedulers.
A database holds the rows your business runs on: the users, events, orders, and records that every service reads and writes. Adobeanalytics is where people make sense of them, as dashboards, funnels, cohorts, and metrics. Moving the data from Scaleway Postgres into Adobeanalytics usually means a hand-built extract or a change-data-capture pipeline that breaks the moment a column is renamed, and reporting that always trails last night's load.
Common use cases
- 01 Feed report metrics into a data model that blends channel performance with conversion and cost data.
- 02 Pull ranked and trended Reports (metrics by dimension) into Postgres or a warehouse so web and marketing analytics join with CRM, ad-spend, and revenue data in SQL.
- 03 Replicate the application database into a warehouse for analytics without writing custom pipelines
- 04 Back internal tools with the same Postgres instance while Stacksync keeps it consistent with external systems
Common sync patterns
Where Adobeanalytics tracks product events: behavior onto stored records
Signup, usage, and lifecycle events captured in Adobeanalytics sync into Scaleway Postgres as rows, so applications and internal tools can read behavioral data next to the records they already keep.
Where Adobeanalytics builds cohorts or scores: results your services can read
Segments, cohorts, or scores computed in Adobeanalytics sync back into Scaleway Postgres, where the services that read from the database act on them at query speed without calling the analytics API.
Analytics on live operational data, minus the pipeline
The users, events, orders, and records stored in Scaleway Postgres land in Adobeanalytics as they change, so dashboards, funnels, and metrics run on current data instead of last night's extract.
What you can sync between Adobeanalytics and Scaleway Postgres
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 | Scaleway Postgres objects | How this pairing syncs | |
|---|---|---|---|
| Metrics Standard metrics available for a report suite, read via GET /metrics; read as metadata to construct report requests and document available measures. | Views Read-only sources for shaping data before it leaves the database. | Metrics is specific to Adobeanalytics and Views to Scaleway Postgres — 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. | Materialized views Precomputed result sets that can be read on a schedule for downstream syncs. | Calculated Metrics is specific to Adobeanalytics and Materialized views to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Segments Saved segment definitions used to filter reports, read via GET /segments; cataloged and reused so downstream systems target the same audiences. | Schemas Namespace tables so multiple applications or environments can be synced selectively. | Segments is specific to Adobeanalytics and Schemas to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Date Ranges Saved relative or rolling date ranges, read via GET /dateranges; read as reusable reporting components for report requests. | Sequences Generate primary keys; sync tooling must respect them when writing rows. | Date Ranges is specific to Adobeanalytics and Sequences to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Report Suites Report suite and virtual report suite configuration read via the /collections/suites endpoint; enumerated to list the report suites available to the company. | Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. | Report Suites is specific to Adobeanalytics and Columns to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Users Users in the Analytics company, read via GET /users and /users/me; loaded for access, entitlement, and identity reconciliation reporting. | Tables Primary sync unit; each table maps to an object or table on the other side of the sync. | Users is specific to Adobeanalytics and Tables to Scaleway Postgres — each maps to any object or custom field on the other side. |
How changes propagate between Adobeanalytics and Scaleway Postgres
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 Scaleway Postgres 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 Scaleway Postgres as a row-level write, with types converted between the two schemas.
Scaleway Postgres Adobeanalytics Sub-second propagation
DetectionChanges in Scaleway Postgres are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication where the managed instance permits it.
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 Scaleway Postgres 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.
- Scaleway Postgres: Throughput is bounded by instance size and connection limits rather than API quotas.
What ships with Adobeanalytics ⇄ Scaleway Postgres
Connect Adobeanalytics and Scaleway Postgres for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Adobeanalytics–Scaleway Postgres connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Adobeanalytics or Scaleway Postgres 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 Scaleway Postgres record.
Observability
Monitoring
Track your Adobeanalytics ⇄ Scaleway Postgres 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 Scaleway Postgres.
How the Adobeanalytics and Scaleway Postgres 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.
Scaleway Postgres
- Integration surface
- SQL wire protocol (PostgreSQL)
- Authentication
- Database credentials (username/password over TLS)
- Change detection
- Log-based CDC via PostgreSQL logical replication where the managed instance permits it; otherwise timestamp or query-based polling
- Capabilities
- read · write · CDC
- Rate limits
- Throughput is bounded by instance size and connection limits rather than API quotas
How it works
How to connect Adobeanalytics to Scaleway Postgres — 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 Scaleway Postgres 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
Scaleway Postgres
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Adobeanalytics and Scaleway Postgres 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 ⇄ Scaleway PostgresCustomers 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 Scaleway PostgresCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Adobeanalytics and Scaleway Postgres integration FAQ
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Yes. Stacksync provides a managed, real-time integration between Adobeanalytics and Scaleway Postgres — 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 pricing is usage-based and starts at $1,000/month, including the managed Adobeanalytics and Scaleway Postgres connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Adobeanalytics–Scaleway Postgres integration in-house.
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Yes — Stacksync ships production-grade connectors for both Adobeanalytics and Scaleway Postgres. 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 Scaleway Postgres: Log-based CDC via PostgreSQL logical replication where the managed instance permits it; otherwise timestamp or query-based polling. 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: Dimensions, Metrics, Calculated Metrics, Segments, plus custom fields where Adobeanalytics exposes them. On the Scaleway Postgres side: Sequences, Columns, Tables, Views. Stacksync auto-detects both schemas and converts types between the two systems.
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Adobeanalytics is a read-only source, so this integration runs one-way: Stacksync reads from Adobeanalytics in real time and delivers into Scaleway Postgres. Field mapping and monitoring work the same as for two-way pairs.
SECURITY
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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.
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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 374 integrations available for Adobeanalytics and Scaleway Postgres.
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Adobeanalytics ⇄ Apache Cassandra -
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