Real-time sync
Changes in Microsoft Power Bi or OpenSearch instantly reflect in both systems. No stale data, no manual imports.
Keep Microsoft Power Bi and OpenSearch 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 OpenSearch, so OpenSearch 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 OpenSearch 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.
Segments, cohorts, or scores computed in Microsoft Power Bi sync back into OpenSearch, where the services that read from the database act on them at query speed without calling the analytics API.
The users, events, orders, and records stored in OpenSearch land in Microsoft Power Bi 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.
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 | OpenSearch 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. | Data streams Append-oriented time-series storage for logs and events pushed from source systems | Datasets (Semantic Models) is specific to Microsoft Power Bi and Data streams to OpenSearch — 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. | Snapshots Backup artifacts, relevant when reseeding an index from a repository | Reports is specific to Microsoft Power Bi and Snapshots to OpenSearch — 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. | Indexes The core container; synced records land in indexes with defined mappings | Dashboards and Tiles is specific to Microsoft Power Bi and Indexes to OpenSearch — 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. | Documents JSON records written via the index and bulk APIs and read via search queries | Dataflows is specific to Microsoft Power Bi and Documents to OpenSearch — 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. | Index aliases Stable names over rotating indexes, used for zero-downtime reindex during backfills | Datasources and Gateways is specific to Microsoft Power Bi and Index aliases to OpenSearch — 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. | Index templates Mapping and settings presets applied to new indexes a sync creates | Refresh History is specific to Microsoft Power Bi and Index templates to OpenSearch — 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 written to OpenSearch through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls OpenSearch for changes on an incremental schedule, reading only records changed since the previous pass. No native change feed.
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 OpenSearch records.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Microsoft Power Bi–OpenSearch connection.
Changes in Microsoft Power Bi or OpenSearch instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Microsoft Power Bi or OpenSearch 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 OpenSearch record.
Track your Microsoft Power Bi ⇄ OpenSearch sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Microsoft Power Bi and OpenSearch.
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 OpenSearch 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 OpenSearch 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 OpenSearch — 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.
Change detection on Microsoft Power Bi: Pull-based: no webhooks or change-data-capture. Content is polled via REST list endpoints, dataset changes are inferred from Refresh History and the admin Activity Events audit log, and the scanner API's GetModifiedWorkspaces reports workspaces changed since a given time. On OpenSearch: No native change feed; reads rely on queries with scroll or point-in-time polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Microsoft Power Bi side: Dashboards and Tiles, Dataflows, Datasources and Gateways, Refresh History, plus custom fields where Microsoft Power Bi exposes them. On the OpenSearch side: Index aliases, Index templates, Ingest pipelines, Data streams. Stacksync auto-detects both schemas and converts types between the two systems.
Microsoft Power Bi is a read-only source, so this integration runs one-way: Stacksync reads from Microsoft Power Bi in real time and delivers into OpenSearch. Field mapping and monitoring work the same as for two-way pairs.
Common patterns for Microsoft Power Bi and OpenSearch: Where Microsoft Power Bi builds cohorts or scores: results your services can read; Analytics on live operational data, minus the pipeline; One version of each user or account. Segments, cohorts, or scores computed in Microsoft Power Bi sync back into OpenSearch, where the services that read from the database act on them at query speed without calling the analytics API.
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. OpenSearch: REST API over HTTP(S) with JSON payloads. Authentication: Basic authentication with the security plugin, or AWS IAM request signing on Amazon OpenSearch Service. Stacksync manages authentication, retries, and rate limits on both sides.
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 356 integrations available for Microsoft Power Bi and OpenSearch.