Real-time sync
Changes in Adobeanalytics or RavenDB instantly reflect in both systems. No stale data, no manual imports.
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.
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.
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.
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.
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.
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. |
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 written to RavenDB through its API, with automatic retries and rate-limit backoff.
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.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Adobeanalytics–RavenDB connection.
Changes in Adobeanalytics or RavenDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Adobeanalytics or RavenDB 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 RavenDB record.
Track your Adobeanalytics ⇄ RavenDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Adobeanalytics and RavenDB.
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 RavenDB 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 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.
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 RavenDB — 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.
Common patterns for Adobeanalytics and RavenDB: Filter and grouping dimensions kept fresh; Where Adobeanalytics tracks product events: behavior onto stored records; Where Adobeanalytics builds cohorts or scores: results your services can read. 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.
Adobeanalytics: 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. RavenDB: 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. Stacksync manages authentication, retries, and rate limits on both sides.
Adobeanalytics: The 2.0 /reports endpoint returns report data with breakdowns, while the component endpoints (/dimensions, /metrics, /calculatedmetrics, /segments, /dateranges) return definitions, not row-level hits; raw hit-level data comes from Data Feeds or Data Warehouse rather than the reporting API. RavenDB: Data subscriptions deliver a resumable, reliable stream of documents matching a query, which fits continuous sync without external CDC tooling. Stacksync's field mapping accounts for these differences between Adobeanalytics and RavenDB without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Adobeanalytics and RavenDB records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Adobeanalytics and RavenDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Adobeanalytics–RavenDB integration in-house.
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 361 integrations available for Adobeanalytics and RavenDB.