Real-time sync
Changes in Adobeanalytics or SAP Hana instantly reflect in both systems. No stale data, no manual imports.
Keep Adobeanalytics and SAP Hana 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 SAP Hana, so SAP Hana 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 SAP Hana 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.
The users, events, orders, and records stored in SAP Hana 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.
Attributes teams slice by, such as plan, region, or account owner, stay current in Adobeanalytics because they sync from SAP Hana as they change, instead of going stale after a one-time import.
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 | SAP Hana 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. | Triggers AFTER INSERT/UPDATE/DELETE triggers capture changes into a shadow/logging table so updates and deletes are detected near-real-time without full scans. | Calculated Metrics is specific to Adobeanalytics and Triggers to SAP Hana — 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. | System-versioned temporal tables Column store tables with a history table tracking each row's validity period; used to reconstruct update and delete history for change capture. | Segments is specific to Adobeanalytics and System-versioned temporal tables to SAP Hana — 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. | System views (SYS schema) Catalog and monitoring views such as SYS.TABLES and TABLE_COLUMNS; read to discover schema and auto-generate field mappings for new tables. | Date Ranges is specific to Adobeanalytics and System views (SYS schema) to SAP Hana — 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. | Column store tables HANA's default table type, optimized for analytics; synced two-way as rows over the SQL interface with the primary key driving upserts and delete tracking. | Report Suites is specific to Adobeanalytics and Column store tables to SAP Hana — 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. | Row store tables OLTP-oriented tables held fully in memory; read and written the same way through the SAP HANA client for high-write operational tables. | Users is specific to Adobeanalytics and Row store tables to SAP Hana — 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. | Calculation views Modeled analytic views over base tables; read-only sources for pushing aggregated or joined results into a warehouse or downstream app. | Usage and Access Logs is specific to Adobeanalytics and Calculation views to SAP Hana — 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 SAP Hana as a row-level write, with types converted between the two schemas.
DetectionChanges in SAP Hana are captured at the source via change data capture — no polling loop against its API. Polling on a last-modified timestamp column, or AFTER INSERT/UPDATE/DELETE triggers writing to a shadow table.
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 SAP Hana records.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Adobeanalytics–SAP Hana connection.
Changes in Adobeanalytics or SAP Hana instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Adobeanalytics or SAP Hana 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 SAP Hana record.
Track your Adobeanalytics ⇄ SAP Hana sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Adobeanalytics and SAP Hana.
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 SAP Hana 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 SAP Hana 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 SAP Hana — 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.
Adobeanalytics is a read-only source, so this integration runs one-way: Stacksync reads from Adobeanalytics in real time and delivers into SAP Hana. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Adobeanalytics and SAP Hana: Analytics on live operational data, minus the pipeline; One version of each user or account; Filter and grouping dimensions kept fresh. The users, events, orders, and records stored in SAP Hana land in Adobeanalytics as they change, so dashboards, funnels, and metrics run on current data instead of last night's extract.
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. SAP Hana: SQL over the SAP HANA client (JDBC/ODBC drivers); OData/REST via XS for app-layer access. Authentication: Dedicated database user credentials over an encrypted TLS connection (password sent hashed); Kerberos, SAML, JWT, and X.509 certificate authentication are also supported. SAP HANA Cloud enforces TLS and IP allowlisting. Stacksync manages authentication, retries, and rate limits on both sides.
Adobeanalytics: The Analytics 2.0 API is rate-limited to 12 requests per 6 seconds (about 120 per minute) per user; exceeding it returns HTTP 429 with error_code 429050, and a separate per-report-suite reporting-engine throttle can slow large requests without erroring. SAP Hana: Tables need a primary key for reliable upserts and delete tracking; keyless tables require a synthetic key or full-table comparison. Stacksync's field mapping accounts for these differences between Adobeanalytics and SAP Hana 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 SAP Hana records are not retained after a sync operation.
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.
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Every pair below is a real-time, two-way sync. Search all 471 integrations available for Adobeanalytics and SAP Hana.