Real-time
Real-time sync
Changes in Adobeanalytics or Redis Enterprise instantly reflect in both systems. No stale data, no manual imports.
Analytics ⇄ Database
Adobeanalytics to Redis Enterprise integration — real-time data sync
Keep Adobeanalytics and Redis Enterprise 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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Why teams connect Adobeanalytics and Redis Enterprise
Give Adobeanalytics the users, events, and records that live in Redis Enterprise in real time, and sync the cohorts and scores Adobeanalytics computes back into Redis Enterprise where your applications read them.
Adobeanalytics is a read-only source: Stacksync reads its data in real time and delivers it into Redis Enterprise, so Redis Enterprise 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 Redis Enterprise 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 Mirror Dimensions, Metrics, Calculated Metrics, and Segment definitions into a catalog database to document the Adobe Analytics reporting model.
- 02 Load report data on a schedule into a reporting database for executive dashboards without manual Analysis Workspace exports or Report Builder pulls.
- 03 Sync Postgres reference tables into RedisJSON documents that power API responses and personalization lookups.
- 04 Publish record-change events into Redis Streams so microservices react to upstream CRM updates without polling.
Common sync patterns
One version of each user or account
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.
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 Redis Enterprise 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 Redis Enterprise as rows, so applications and internal tools can read behavioral data next to the records they already keep.
What you can sync between Adobeanalytics and Redis Enterprise
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 | Redis Enterprise objects | How this pairing syncs | |
|---|---|---|---|
| Reports Core reporting endpoint (POST /reports on analytics.adobe.io); returns ranked or trended report data for chosen metrics broken down by dimensions over a date range, with optional segment filters. The main dataset Stacksync reads out. | Keys (Strings) Simple key-value pairs used to cache individual synced records or lookup values. | Reports is specific to Adobeanalytics and Keys (Strings) to Redis Enterprise — each maps to any object or custom field on the other side. | |
| Dimensions Available report dimensions (eVars, props, and standard dimensions) per report suite, read via GET /dimensions; pulled as reporting metadata to build report requests and mirror the model. | Hashes Field-value maps that commonly hold one synced row per hash, keyed by record ID. | Dimensions is specific to Adobeanalytics and Hashes to Redis Enterprise — each maps to any object or custom field on the other side. | |
| Metrics Standard metrics available for a report suite, read via GET /metrics; read as metadata to construct report requests and document available measures. | JSON documents Native JSON storage (RedisJSON) for nested records synced from APIs or document stores. | Metrics is specific to Adobeanalytics and JSON documents to Redis Enterprise — 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. | Sets Unordered unique-member collections used for membership checks like segment or ID lists. | Calculated Metrics is specific to Adobeanalytics and Sets to Redis Enterprise — 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. | Sorted Sets Score-ordered collections used for rankings, priority queues, and time-ordered indexes. | Segments is specific to Adobeanalytics and Sorted Sets to Redis Enterprise — 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. | Lists Ordered sequences often used as lightweight queues fed by sync events. | Date Ranges is specific to Adobeanalytics and Lists to Redis Enterprise — each maps to any object or custom field on the other side. |
How changes propagate between Adobeanalytics and Redis Enterprise
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 Redis Enterprise 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 Redis Enterprise as a row-level write, with types converted between the two schemas.
Redis Enterprise Adobeanalytics Interval-based propagation
DetectionStacksync polls Redis Enterprise for changes on an incremental schedule, reading only records changed since the previous pass. Keyspace notifications over pub/sub or reads from Redis Streams.
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 Redis Enterprise 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.
- Redis Enterprise: Throughput is bounded by provisioned cluster capacity rather than published API rate limits.
What ships with Adobeanalytics ⇄ Redis Enterprise
Connect Adobeanalytics and Redis Enterprise for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Adobeanalytics–Redis Enterprise connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Adobeanalytics or Redis Enterprise 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 Redis Enterprise record.
Observability
Monitoring
Track your Adobeanalytics ⇄ Redis Enterprise 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 Redis Enterprise.
How the Adobeanalytics and Redis Enterprise 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.
Redis Enterprise
- Integration surface
- Redis wire protocol (RESP) via client libraries; separate REST API for cluster management
- Authentication
- Password or ACL-based credentials, typically over TLS
- Change detection
- Keyspace notifications over pub/sub or reads from Redis Streams; no transaction-log CDC surface for data
- Capabilities
- read · write
- Rate limits
- Throughput is bounded by provisioned cluster capacity rather than published API rate limits
How it works
How to connect Adobeanalytics to Redis Enterprise — 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.
- 01
Connect your apps
Authenticate Adobeanalytics and Redis Enterprise with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Adobeanalytics
connected
Redis Enterprise
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Adobeanalytics and Redis Enterprise 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.
objects · Adobeanalytics ⇄ Redis EnterpriseCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Adobeanalytics Redis EnterpriseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Adobeanalytics and Redis Enterprise integration FAQ
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Yes. Stacksync provides a managed, real-time integration between Adobeanalytics and Redis Enterprise — 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.
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Yes — Stacksync ships production-grade connectors for both Adobeanalytics and Redis Enterprise. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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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 Redis Enterprise: Keyspace notifications over pub/sub or reads from Redis Streams; no transaction-log CDC surface for data. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Adobeanalytics side: Usage and Access Logs, Reports, Dimensions, Metrics, plus custom fields where Adobeanalytics exposes them. On the Redis Enterprise side: Sets, Sorted Sets, Lists, Streams. Stacksync auto-detects both schemas and converts types between the two systems.
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Adobeanalytics is a read-only source, so this integration runs one-way: Stacksync reads from Adobeanalytics in real time and delivers into Redis Enterprise. Field mapping and monitoring work the same as for two-way pairs.
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Common patterns for Adobeanalytics and Redis Enterprise: One version of each user or account; Filter and grouping dimensions kept fresh; Where Adobeanalytics tracks product events: behavior onto stored records. 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.
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 365 integrations available for Adobeanalytics and Redis Enterprise.
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No integrations match .
