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Analytics ⇄ Data warehouse

Adobeanalytics to Rockset integration — real-time data sync

Keep Adobeanalytics and Rockset 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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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Adobeanalytics and Rockset

Flow Adobeanalytics data into Rockset in real time — no exports, no schedulers, no custom scripts.

Adobeanalytics is a read-only source: Stacksync reads its data in real time and delivers it into Rockset, so Rockset always reflects the current state of Adobeanalytics — without exports, scripts, or schedulers.

Adobeanalytics is where teams explore, visualize, and report; Rockset is the store of record that holds the raw tables and full history behind those views. The two overlap wherever the same events, users, and metrics matter to both, and when the bridge between them is a nightly export or a hand-built extract, dashboards lag the warehouse and analysts spend the morning arguing over whose number is right.

Common use cases

  • 01 Read Users and Usage/Audit logs into a security or governance database for access reviews and tool-usage reporting across the Analytics company.
  • 02 Feed report metrics into a data model that blends channel performance with conversion and cost data.
  • 03 Serve real-time dashboards over CRM and ERP records synced from operational databases.
  • 04 Sync Postgres or DynamoDB tables into collections for low-latency aggregations without loading a batch warehouse.

Common sync patterns

One number both sides agree on

Metrics and aggregates stay aligned between the two systems, so a figure shown in Adobeanalytics matches the Rockset table it was built from instead of drifting between refreshes.

Where Rockset holds the source tables: live data in the reporting layer

Records maintained in Rockset flow into Adobeanalytics as they change, so dashboards and reports read current rows rather than an overnight extract.

Where Adobeanalytics produces segments or scores: results back to the warehouse

Cohorts, segments, and computed metrics defined in Adobeanalytics write to Rockset as tables the rest of the stack can query and join.

What you can sync between Adobeanalytics and Rockset

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 Rockset 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. Integrations Managed source connections (databases, streams, object storage) feeding collections. Metrics is specific to Adobeanalytics and Integrations to Rockset — 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. Virtual Instances Isolated compute units that separate ingest from query workloads. Calculated Metrics is specific to Adobeanalytics and Virtual Instances to Rockset — 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. Collections Schemaless document containers that ingested and synced records land in. Segments is specific to Adobeanalytics and Collections to Rockset — 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. Documents JSON records addressable by _id, written via the Write API in sync pipelines. Date Ranges is specific to Adobeanalytics and Documents to Rockset — 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. Workspaces Namespaces that group collections and query lambdas per team or environment. Report Suites is specific to Adobeanalytics and Workspaces to Rockset — 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. Query Lambdas Named, parameterized SQL queries invoked over REST to read synced data. Users is specific to Adobeanalytics and Query Lambdas to Rockset — each maps to any object or custom field on the other side.

How changes propagate between Adobeanalytics and Rockset

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

Rockset Adobeanalytics Interval-based propagation

DetectionStacksync polls Rockset for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL queries on timestamp fields.

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 Rockset 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 ⇄ Rockset

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

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Adobeanalytics or Rockset 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 Rockset record.

Observability

Monitoring

Track your Adobeanalytics ⇄ Rockset 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 Rockset.

How the Adobeanalytics and Rockset 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.

Rockset

Integration surface
REST API (SQL over HTTP, plus a document Write API)
Authentication
API key
Change detection
Polling via SQL queries on timestamp fields; ingestion-side change capture is handled by Rockset's managed source connectors
Capabilities
read · write
How it works

How to connect Adobeanalytics to Rockset — 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 Rockset 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
    Rockset connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Adobeanalytics and Rockset 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 ⇄ Rockset
    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 Rockset
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Adobeanalytics and Rockset 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 433 integrations available for Adobeanalytics and Rockset.

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