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Analytics ⇄ Database

Adobeanalytics to Amazon Aurora integration — real-time data sync

Keep Adobeanalytics and Amazon Aurora 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 Amazon Aurora

Give Adobeanalytics the users, events, and records that live in Amazon Aurora in real time, and sync the cohorts and scores Adobeanalytics computes back into Amazon Aurora where your applications read them.

Adobeanalytics is a read-only source: Stacksync reads its data in real time and delivers it into Amazon Aurora, so Amazon Aurora 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 Amazon Aurora 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 Consolidate several Aurora clusters into one reporting database.
  • 04 Write enriched or scored records from analytics pipelines back into the Aurora tables that power an application.

Common sync patterns

Where Adobeanalytics tracks product events: behavior onto stored records

Signup, usage, and lifecycle events captured in Adobeanalytics sync into Amazon Aurora 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 Amazon Aurora, 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 Amazon Aurora 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 Amazon Aurora

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 Amazon Aurora 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. Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. Metrics is specific to Adobeanalytics and Primary and Foreign Keys to Amazon Aurora — 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. Read Replicas Reader endpoints that syncs can target to keep load off the writer. Calculated Metrics is specific to Adobeanalytics and Read Replicas to Amazon Aurora — 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. Databases Logical databases within a cluster that scope a sync connection. Segments is specific to Adobeanalytics and Databases to Amazon Aurora — 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. Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. Date Ranges is specific to Adobeanalytics and Schemas to Amazon Aurora — 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. Tables Relational tables synced bi-directionally at row level. Report Suites is specific to Adobeanalytics and Tables to Amazon Aurora — 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. Views Read-only query-backed sources for downstream syncs. Users is specific to Adobeanalytics and Views to Amazon Aurora — each maps to any object or custom field on the other side.

How changes propagate between Adobeanalytics and Amazon Aurora

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 Amazon Aurora 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 Amazon Aurora as a row-level write, with types converted between the two schemas.

Amazon Aurora Adobeanalytics Sub-second propagation

DetectionChanges in Amazon Aurora are captured at the source via change data capture — no polling loop against its API. Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters.

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 Amazon Aurora 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.
  • Amazon Aurora: No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits.
What ships with Adobeanalytics ⇄ Amazon Aurora

Connect Adobeanalytics and Amazon Aurora for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Adobeanalytics–Amazon Aurora connection.

Real-time

Real-time sync

Changes in Adobeanalytics or Amazon Aurora instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Adobeanalytics or Amazon Aurora 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 Amazon Aurora record.

Observability

Monitoring

Track your Adobeanalytics ⇄ Amazon Aurora 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 Amazon Aurora.

How the Adobeanalytics and Amazon Aurora 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.

Amazon Aurora

Integration surface
MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS
Authentication
Database credentials or IAM database authentication
Change detection
Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits
How it works

How to connect Adobeanalytics to Amazon Aurora — 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.

  1. 01

    Connect your apps

    Authenticate Adobeanalytics and Amazon Aurora with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Adobeanalytics connected
    Amazon Aurora connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Adobeanalytics and Amazon Aurora 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Adobeanalytics ⇄ Amazon Aurora
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Adobeanalytics Amazon Aurora
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Adobeanalytics and Amazon Aurora integration FAQ

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.

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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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 365 integrations available for Adobeanalytics and Amazon Aurora.

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