Real-time sync
Changes in Dynamo DB or Tableau instantly reflect in both systems. No stale data, no manual imports.
Keep Dynamo DB and Tableau in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Tableau 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 Tableau — 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. Tableau is where people make sense of them, as dashboards, funnels, cohorts, and metrics. Moving the data from Dynamo DB into Tableau 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.
Signup, usage, and lifecycle events captured in Tableau sync into Dynamo DB as rows, so applications and internal tools can read behavioral data next to the records they already keep.
Segments, cohorts, or scores computed in Tableau sync back into Dynamo DB, 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 Dynamo DB land in Tableau as they change, so dashboards, funnels, and metrics run on current data instead of last night's extract.
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 | Tableau objects | How this pairing syncs | |
|---|---|---|---|
| Partition and Sort Keys The primary key pair used as the match key for bi-directional sync. | Published Data Sources Published data sources (.tdsx); their underlying rows are read via the VizQL Data Service, and refresh state is tracked through content webhooks. | Partition and Sort Keys is specific to Dynamo DB and Published Data Sources to Tableau — 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. | Workbooks Workbook content and metadata read via the REST and Metadata APIs; create, update, and delete events fire webhooks for change detection. | Global Secondary Indexes is specific to Dynamo DB and Workbooks to Tableau — each maps to any object or custom field on the other side. | |
| DynamoDB Streams Ordered item-level change records consumed for incremental sync. | Views Worksheets and dashboards inside workbooks; their data and crosstab export as CSV via the REST query-view-data endpoint. | DynamoDB Streams is specific to Dynamo DB and Views to Tableau — 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. | Projects Folders that organize content and set permissions; listed via REST to mirror the site's content hierarchy into a catalog. | Global Tables is specific to Dynamo DB and Projects to Tableau — 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. | Users Site users with site roles and group membership; read via REST for access reviews and to reconcile identities against an HR or IdP source. | Tables is specific to Dynamo DB and Users to Tableau — each maps to any object or custom field on the other side. | |
| Items Schemaless records keyed by partition (and optional sort) key, mapped to rows or SaaS objects in syncs. | Databases and Tables External assets indexed by Tableau Catalog; queried via the Metadata API GraphQL endpoint for lineage and impact analysis. | Items is specific to Dynamo DB and Databases and Tables to Tableau — 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.
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.
DeliveryTableau does not accept inbound record writes, so this direction carries requests rather than records: Tableau's output flows back as field updates on the originating Dynamo DB records.
DetectionTableau notifies Stacksync of record changes through webhook events. Webhooks fire on workbook and data source create/update/delete and extract refresh events.
DeliveryEach detected change is applied to Dynamo DB as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Dynamo DB–Tableau connection.
Changes in Dynamo DB or Tableau instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Dynamo DB or Tableau data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Dynamo DB or Tableau record.
Track your Dynamo DB ⇄ Tableau sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Dynamo DB and Tableau.
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 Dynamo DB and Tableau 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 Dynamo DB and Tableau 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 Dynamo DB and Tableau — Tableau 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.
Tableau: Webhooks cover a fixed set of workbook, data source, view, and admin events; there is no generic row-changed event, so underlying data changes are detected by re-querying. Dynamo DB: Items are schemaless apart from the mandatory partition key (and optional sort key), so sync field mappings are defined per attribute rather than from a fixed schema. Stacksync's field mapping accounts for these differences between Dynamo DB and Tableau 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 Dynamo DB and Tableau records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Dynamo DB and Tableau connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Dynamo DB–Tableau integration in-house.
Yes — Stacksync ships production-grade connectors for both Dynamo DB and Tableau. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Dynamo DB: Item-level change streams via DynamoDB Streams or Kinesis Data Streams integration. On Tableau: Webhooks fire on workbook and data source create/update/delete and extract refresh events; otherwise content and metadata are polled via REST list endpoints (updatedAt) and the Metadata API. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 382 integrations available for Dynamo DB and Tableau.