Real-time sync
Changes in Adobeanalytics or Amazon RDS instantly reflect in both systems. No stale data, no manual imports.
Keep Adobeanalytics and Amazon RDS in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Adobeanalytics is a read-only source: Stacksync reads its data in real time and delivers it into Amazon RDS, so Amazon RDS 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 RDS 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.
Segments, cohorts, or scores computed in Adobeanalytics sync back into Amazon RDS, where the services that read from the database act on them at query speed without calling the analytics API.
The users, events, orders, and records stored in Amazon RDS land in Adobeanalytics as they change, so dashboards, funnels, and metrics run on current data instead of last night's extract.
A user, account, or record corrected in either system updates the other, so the identity your reports group by matches the identity your database stores.
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 RDS objects | How this pairing syncs | |
|---|---|---|---|
| Calculated Metrics User-defined derived metrics, read via GET /calculatedmetrics; mirrored so downstream tools reference the same calculated-metric definitions. | Schemas Namespaces within a database used to isolate synced tables. | Calculated Metrics is specific to Adobeanalytics and Schemas to Amazon RDS — 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. | Tables The core sync target; rows map to records in connected SaaS systems. | Segments is specific to Adobeanalytics and Tables to Amazon RDS — 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. | Views Read-side projections exposed to outbound syncs. | Date Ranges is specific to Adobeanalytics and Views to Amazon RDS — 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 Field-level mapping targets, typed per the underlying engine. | Report Suites is specific to Adobeanalytics and Columns to Amazon RDS — 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. | Primary and Unique Keys Match keys for idempotent upserts. | Users is specific to Adobeanalytics and Primary and Unique Keys to Amazon RDS — 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. | Read Replicas Low-impact read endpoints often used as the source side of a sync. | Usage and Access Logs is specific to Adobeanalytics and Read Replicas to Amazon RDS — 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.
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 RDS as a row-level write, with types converted between the two schemas.
DetectionChanges in Amazon RDS are captured at the source via change data capture — no polling loop against its API. Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC.
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 RDS records.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Adobeanalytics–Amazon RDS connection.
Changes in Adobeanalytics or Amazon RDS instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Adobeanalytics or Amazon RDS data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Adobeanalytics or Amazon RDS record.
Track your Adobeanalytics ⇄ Amazon RDS sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Adobeanalytics and Amazon RDS.
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 Adobeanalytics and Amazon RDS 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 Adobeanalytics and Amazon RDS 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 integration between Adobeanalytics and Amazon RDS — 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.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Adobeanalytics and Amazon RDS connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Adobeanalytics–Amazon RDS integration in-house.
Yes — Stacksync ships production-grade connectors for both Adobeanalytics and Amazon RDS. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 Amazon RDS: Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC; enabled through RDS parameter groups, with polling as a fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Adobeanalytics side: Date Ranges, Report Suites, Users, Usage and Access Logs, plus custom fields where Adobeanalytics exposes them. On the Amazon RDS side: Read Replicas, Stored Procedures, Databases, Schemas. Stacksync auto-detects both schemas and converts types between the two systems.
Adobeanalytics is a read-only source, so this integration runs one-way: Stacksync reads from Adobeanalytics in real time and delivers into Amazon RDS. Field mapping and monitoring work the same as for two-way pairs.
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.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 385 integrations available for Adobeanalytics and Amazon RDS.