Real-time sync
Changes in Microsoft Power Bi or Redis Enterprise instantly reflect in both systems. No stale data, no manual imports.
Keep Microsoft Power Bi 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.
Microsoft Power Bi 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 Microsoft Power Bi — 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. Microsoft Power Bi is where people make sense of them, as dashboards, funnels, cohorts, and metrics. Moving the data from Redis Enterprise into Microsoft Power Bi 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 Microsoft Power Bi because they sync from Redis Enterprise as they change, instead of going stale after a one-time import.
Signup, usage, and lifecycle events captured in Microsoft Power Bi sync into Redis Enterprise as rows, so applications and internal tools can read behavioral data next to the records they already keep.
Segments, cohorts, or scores computed in Microsoft Power Bi sync back into Redis Enterprise, 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.
| Microsoft Power Bi objects | Redis Enterprise objects | How this pairing syncs | |
|---|---|---|---|
| Datasets (Semantic Models) Tabular models behind reports; their rows are read with DAX via POST datasets/{id}/executeQueries, and datasource and refresh metadata via REST list endpoints. | Sorted Sets Score-ordered collections used for rankings, priority queues, and time-ordered indexes. | Datasets (Semantic Models) is specific to Microsoft Power Bi and Sorted Sets to Redis Enterprise — each maps to any object or custom field on the other side. | |
| Reports Report definitions and metadata read via GET /reports and per-workspace GET /groups/{id}/reports; enumerated to mirror the content inventory into a catalog. | Lists Ordered sequences often used as lightweight queues fed by sync events. | Reports is specific to Microsoft Power Bi and Lists to Redis Enterprise — each maps to any object or custom field on the other side. | |
| Dashboards and Tiles Dashboards and their pinned tiles read via GET /dashboards and /dashboards/{id}/tiles; inventoried to map dashboard content back to its source datasets. | Streams Append-only logs with consumer groups, used to fan sync events out to downstream services. | Dashboards and Tiles is specific to Microsoft Power Bi and Streams to Redis Enterprise — each maps to any object or custom field on the other side. | |
| Dataflows Power Query ETL definitions read via GET /groups/{id}/dataflows; used to document lineage from upstream sources into datasets. | Pub/Sub channels Fire-and-forget messaging used to notify applications when synced keys change. | Dataflows is specific to Microsoft Power Bi and Pub/Sub channels to Redis Enterprise — each maps to any object or custom field on the other side. | |
| Datasources and Gateways The connections behind datasets and dataflows and the on-premises gateways serving them, read via REST for lineage and dependency mapping. | Search indexes Secondary indexes (RediSearch) that make synced hashes and JSON documents queryable. | Datasources and Gateways is specific to Microsoft Power Bi and Search indexes to Redis Enterprise — each maps to any object or custom field on the other side. | |
| Refresh History Dataset refresh runs read via GET /datasets/{id}/refreshes, including status, type, and timing, to alert on failed or slow scheduled refreshes. | Keys (Strings) Simple key-value pairs used to cache individual synced records or lookup values. | Refresh History is specific to Microsoft Power Bi and Keys (Strings) to Redis Enterprise — 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 Microsoft Power Bi for changes on an incremental schedule, reading only records changed since the previous pass. Pull-based: no webhooks or change-data-capture.
DeliveryEach detected change is applied to Redis Enterprise as a row-level write, with types converted between the two schemas.
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.
DeliveryMicrosoft Power Bi does not accept inbound record writes, so this direction carries requests rather than records: Microsoft Power Bi's output flows back as field updates on the originating Redis Enterprise records.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Microsoft Power Bi–Redis Enterprise connection.
Changes in Microsoft Power Bi or Redis Enterprise instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Microsoft Power Bi or Redis Enterprise data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Microsoft Power Bi or Redis Enterprise record.
Track your Microsoft Power Bi ⇄ Redis Enterprise sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Microsoft Power Bi and Redis Enterprise.
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 Microsoft Power Bi 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.
Pick the Microsoft Power Bi 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.
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 Microsoft Power Bi and Redis Enterprise — Microsoft Power Bi 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.
Microsoft Power Bi: Power BI REST API, including the Execute Queries (DAX) endpoint and admin scanner APIs; a read-write XMLA endpoint is available on Premium, Premium-Per-User, and Fabric capacity. Authentication: Microsoft Entra ID (Azure AD) OAuth 2.0 bearer tokens. Supports delegated user tokens and app-only service principals; service principals must be enabled under the tenant's Developer settings and granted workspace access. Tenant-wide admin reads require the Tenant.Read.All scope. Redis Enterprise: Redis wire protocol (RESP) via client libraries; separate REST API for cluster management. Authentication: Password or ACL-based credentials, typically over TLS. Stacksync manages authentication, retries, and rate limits on both sides.
Microsoft Power Bi: Row-level data is read with the Execute Queries endpoint (POST datasets/{id}/executeQueries), which runs a DAX query and is capped at 100,000 rows or 1,000,000 values, 15 MB, and 120 requests per minute per user; the tenant setting 'Dataset Execute Queries REST API' must be enabled and the caller needs dataset read and build permissions. Redis Enterprise: Data structures are typed server-side (hashes, sets, sorted sets, streams), so sync mappings target a structure and key convention rather than tables and columns. Stacksync's field mapping accounts for these differences between Microsoft Power Bi and Redis Enterprise 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 Microsoft Power Bi and Redis Enterprise records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Microsoft Power Bi and Redis Enterprise connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Microsoft Power Bi–Redis Enterprise integration in-house.
Yes — Stacksync ships production-grade connectors for both Microsoft Power Bi and Redis Enterprise. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 366 integrations available for Microsoft Power Bi and Redis Enterprise.