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Analytics ⇄ Database

Adobeanalytics to RavenDB integration — real-time data sync

Keep Adobeanalytics and RavenDB 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 RavenDB

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

Adobeanalytics is a read-only source: Stacksync reads its data in real time and delivers it into RavenDB, so RavenDB 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 RavenDB 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 Keep external search indexes or caches current from RavenDB change feeds without custom pollers.
  • 04 Stream RavenDB document changes into Postgres or a warehouse via data subscriptions for SQL analytics.

Common sync patterns

Filter and grouping dimensions kept fresh

Attributes teams slice by, such as plan, region, or account owner, stay current in Adobeanalytics because they sync from RavenDB as they change, instead of going stale after a one-time import.

Where Adobeanalytics tracks product events: behavior onto stored records

Signup, usage, and lifecycle events captured in Adobeanalytics sync into RavenDB 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 RavenDB, where the services that read from the database act on them at query speed without calling the analytics API.

What you can sync between Adobeanalytics and RavenDB

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 RavenDB 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. Time series Timestamped measurements stored per document, synced for metrics analysis Calculated Metrics is specific to Adobeanalytics and Time series to RavenDB — 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. Data subscriptions Server-side change feeds that push matching documents to consumers Segments is specific to Adobeanalytics and Data subscriptions to RavenDB — 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, the primary unit read and written during sync Date Ranges is specific to Adobeanalytics and Documents to RavenDB — 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. Collections Groupings of documents by type, mapped to tables in relational targets Report Suites is specific to Adobeanalytics and Collections to RavenDB — 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. Indexes Static and auto indexes used to query documents for filtered reads Users is specific to Adobeanalytics and Indexes to RavenDB — 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. Attachments Binary payloads stored with documents, handled separately from the JSON body Usage and Access Logs is specific to Adobeanalytics and Attachments to RavenDB — each maps to any object or custom field on the other side.

How changes propagate between Adobeanalytics and RavenDB

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 RavenDB 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 written to RavenDB through its API, with automatic retries and rate-limit backoff.

RavenDB Adobeanalytics Sub-second propagation

DetectionChanges in RavenDB are captured at the source via change data capture — no polling loop against its API. Data subscriptions and the Changes API provide server-pushed change feeds.

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 RavenDB 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.
  • RavenDB: Throughput bounded by cluster resources rather than API quotas.
What ships with Adobeanalytics ⇄ RavenDB

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

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

Real-time

Real-time sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Adobeanalytics or RavenDB 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 RavenDB record.

Observability

Monitoring

Track your Adobeanalytics ⇄ RavenDB 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 RavenDB.

How the Adobeanalytics and RavenDB 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.

RavenDB

Integration surface
HTTP REST API with official clients (.NET, Java, Node.js, Python, and others)
Authentication
X.509 client certificates on secured servers, instead of username and password
Change detection
data subscriptions and the Changes API provide server-pushed change feeds
Capabilities
read · write · CDC
Rate limits
throughput bounded by cluster resources rather than API quotas
How it works

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

    Choose tables

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

Adobeanalytics and RavenDB 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.

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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 361 integrations available for Adobeanalytics and RavenDB.

Popular · 8 of 361
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