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Database ⇄ Analytics

Dynamo DB to Microsoft Power Bi integration — real-time data sync

Keep Dynamo DB and Microsoft Power Bi 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 Dynamo DB and Microsoft Power Bi

Give Microsoft Power Bi the users, events, and records that live in Dynamo DB in real time, and sync the cohorts and scores Microsoft Power Bi computes back into Dynamo DB where your applications read them.

Microsoft Power Bi is a read-only source: Stacksync reads its data in real time and delivers it into Dynamo DB, so Dynamo DB 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 Dynamo DB 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.

Common use cases

  • 01 Mirror Workspaces, Reports, Dashboards, and Dataset metadata into a catalog database so teams discover Power BI content from a central index.
  • 02 Pull Dataflow and Datasource definitions to document lineage between Power BI and its upstream warehouses in a governance database.
  • 03 Stream item changes from DynamoDB application tables into a Postgres or warehouse copy for SQL analytics.
  • 04 Sync customer records between DynamoDB-backed services and a CRM so support and sales see live application state.

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 Microsoft Power Bi because they sync from Dynamo DB as they change, instead of going stale after a one-time import.

Where Microsoft Power Bi tracks product events: behavior onto stored records

Signup, usage, and lifecycle events captured in Microsoft Power Bi sync into Dynamo DB as rows, so applications and internal tools can read behavioral data next to the records they already keep.

What you can sync between Dynamo DB and Microsoft Power Bi

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.

Dynamo DB objects Microsoft Power Bi objects How this pairing syncs
Attributes Per-item fields, including nested maps and lists, flattened or mapped during sync. Activity Events (Audit Log) Admin audit log of user and content actions read via GET /admin/activityevents; loaded for security, access, and usage reporting across the tenant. Attributes is specific to Dynamo DB and Activity Events (Audit Log) to Microsoft Power Bi — each maps to any object or custom field on the other side.
Partition and Sort Keys The primary key pair used as the match key for bi-directional sync. Users and Access Workspace users and roles read via GET /groups/{id}/users or the admin scanner APIs; read for access reviews and identity reconciliation against an IdP. Partition and Sort Keys is specific to Dynamo DB and Users and Access to Microsoft Power Bi — each maps to any object or custom field on the other side.
Global Secondary Indexes Alternate access paths used when sync queries filter on non-key attributes. 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. Global Secondary Indexes is specific to Dynamo DB and Datasets (Semantic Models) to Microsoft Power Bi — each maps to any object or custom field on the other side.
DynamoDB Streams Ordered item-level change records consumed for incremental sync. 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. DynamoDB Streams is specific to Dynamo DB and Reports to Microsoft Power Bi — each maps to any object or custom field on the other side.
Global Tables Multi-region replicas relevant when syncs must read from a specific region. 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. Global Tables is specific to Dynamo DB and Dashboards and Tiles to Microsoft Power Bi — each maps to any object or custom field on the other side.
Tables The top-level containers a sync targets; each table is addressed independently. Dataflows Power Query ETL definitions read via GET /groups/{id}/dataflows; used to document lineage from upstream sources into datasets. Tables is specific to Dynamo DB and Dataflows to Microsoft Power Bi — each maps to any object or custom field on the other side.

How changes propagate between Dynamo DB and Microsoft Power Bi

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.

Dynamo DB Microsoft Power Bi Sub-second propagation

DetectionChanges in Dynamo DB are captured at the source via change data capture — no polling loop against its API. Item-level change streams via DynamoDB Streams or Kinesis Data Streams integration.

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 Dynamo DB records.

Microsoft Power Bi Dynamo DB Interval-based propagation

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 Dynamo DB as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Dynamo DB: Throughput is governed by the table's provisioned or on-demand capacity mode.
  • Microsoft Power Bi: Endpoints throttle per user and per app and return HTTP 429 with a Retry-After header. Execute Queries allows up to 120 requests per minute per user and caps a query at 100,000 rows (or 1,000,000 values) and 15 MB; admin scanner metadata APIs are limited to about 500 requests per hour with 16 concurrent.
What ships with Dynamo DB ⇄ Microsoft Power Bi

Connect Dynamo DB and Microsoft Power Bi for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Dynamo DB–Microsoft Power Bi connection.

Real-time

Real-time sync

Changes in Dynamo DB or Microsoft Power Bi instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Dynamo DB or Microsoft Power Bi 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 Dynamo DB or Microsoft Power Bi record.

Observability

Monitoring

Track your Dynamo DB ⇄ Microsoft Power Bi sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Dynamo DB and Microsoft Power Bi.

How the Dynamo DB and Microsoft Power Bi connectors work

Dynamo DB

Integration surface
Proprietary JSON-over-HTTPS API accessed through AWS SDKs; PartiQL supported for SQL-like queries
Authentication
AWS IAM credentials with SigV4 request signing
Change detection
Item-level change streams via DynamoDB Streams or Kinesis Data Streams integration
Capabilities
read · write · CDC
Rate limits
Throughput is governed by the table's provisioned or on-demand capacity mode

Microsoft Power Bi

Integration surface
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.
Change detection
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.
Capabilities
read
Rate limits
Endpoints throttle per user and per app and return HTTP 429 with a Retry-After header. Execute Queries allows up to 120 requests per minute per user and caps a query at 100,000 rows (or 1,000,000 values) and 15 MB; admin scanner metadata APIs are limited to about 500 requests per hour with 16 concurrent.
How it works

How to connect Dynamo DB to Microsoft Power Bi — 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.

  1. 01

    Connect your apps

    Authenticate Dynamo DB and Microsoft Power Bi with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Dynamo DB connected
    Microsoft Power Bi connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Dynamo DB and Microsoft Power Bi 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Dynamo DB ⇄ Microsoft Power Bi
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Dynamo DB Microsoft Power Bi
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Dynamo DB and Microsoft Power Bi integration FAQ

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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.

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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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 382 integrations available for Dynamo DB and Microsoft Power Bi.

Popular · 7 of 382
All Dynamo DB integrations All Microsoft Power Bi integrations Browse all integrations
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