Real-time
Real-time sync
Changes in Rockset or Tableau instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Analytics
Rockset to Tableau integration — real-time data sync
Keep Rockset 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.
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Rockset and Tableau
Flow Tableau data into Rockset in real time — no exports, no schedulers, no custom scripts.
Tableau is a read-only source: Stacksync reads its data in real time and delivers it into Rockset, so Rockset always reflects the current state of Tableau — without exports, scripts, or schedulers.
Tableau is where teams explore, visualize, and report; Rockset is the store of record that holds the raw tables and full history behind those views. The two overlap wherever the same events, users, and metrics matter to both, and when the bridge between them is a nightly export or a hand-built extract, dashboards lag the warehouse and analysts spend the morning arguing over whose number is right.
Common use cases
- 01 Mirror the Projects and Workbooks content hierarchy into an internal catalog so teams discover dashboards from a central index.
- 02 Track Extract Refresh Tasks and DatasourceRefreshFailed webhook events to raise alerts in a database or ticketing system when refreshes fail.
- 03 Read query results back into an operational database to expose computed metrics to applications.
- 04 Power in-app search and filtering over synced operational data using SQL over REST.
Common sync patterns
One number both sides agree on
Metrics and aggregates stay aligned between the two systems, so a figure shown in Tableau matches the Rockset table it was built from instead of drifting between refreshes.
Where Rockset holds the source tables: live data in the reporting layer
Records maintained in Rockset flow into Tableau as they change, so dashboards and reports read current rows rather than an overnight extract.
Where Tableau produces segments or scores: results back to the warehouse
Cohorts, segments, and computed metrics defined in Tableau write to Rockset as tables the rest of the stack can query and join.
What you can sync between Rockset and Tableau
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.
| Rockset objects | Tableau objects | How this pairing syncs | |
|---|---|---|---|
| Workspaces Namespaces that group collections and query lambdas per team or environment. | Databases and Tables External assets indexed by Tableau Catalog; queried via the Metadata API GraphQL endpoint for lineage and impact analysis. | Workspaces is specific to Rockset and Databases and Tables to Tableau — each maps to any object or custom field on the other side. | |
| Query Lambdas Named, parameterized SQL queries invoked over REST to read synced data. | Extract Refresh Tasks Scheduled extract refreshes; status and history read via REST, with DatasourceRefreshSucceeded and Failed events delivered by webhooks. | Query Lambdas is specific to Rockset and Extract Refresh Tasks to Tableau — each maps to any object or custom field on the other side. | |
| Aliases Stable names that point at collections, used to swap datasets without changing queries. | Fields and Columns Columns and calculated fields with their descriptions, exposed by the Metadata API; read to populate a data catalog with governed definitions. | Aliases is specific to Rockset and Fields and Columns to Tableau — each maps to any object or custom field on the other side. | |
| Integrations Managed source connections (databases, streams, object storage) feeding collections. | 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. | Integrations is specific to Rockset and Published Data Sources to Tableau — each maps to any object or custom field on the other side. | |
| Virtual Instances Isolated compute units that separate ingest from query workloads. | Workbooks Workbook content and metadata read via the REST and Metadata APIs; create, update, and delete events fire webhooks for change detection. | Virtual Instances is specific to Rockset and Workbooks to Tableau — each maps to any object or custom field on the other side. | |
| Collections Schemaless document containers that ingested and synced records land in. | Views Worksheets and dashboards inside workbooks; their data and crosstab export as CSV via the REST query-view-data endpoint. | Collections is specific to Rockset and Views to Tableau — each maps to any object or custom field on the other side. |
How changes propagate between Rockset and Tableau
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.
Rockset Tableau Interval-based propagation
DetectionStacksync polls Rockset for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL queries on timestamp fields.
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 Rockset records.
Tableau Rockset Sub-second propagation
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 Rockset as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Tableau: Tableau Cloud enforces per-site REST rate limits and returns HTTP 429; a PAT allows only one concurrent session and expires after 15 consecutive days of non-use.
What ships with Rockset ⇄ Tableau
Connect Rockset and Tableau for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Rockset–Tableau connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Rockset or Tableau 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 Rockset or Tableau record.
Observability
Monitoring
Track your Rockset ⇄ Tableau sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Rockset and Tableau.
How the Rockset and Tableau connectors work
Rockset
- Integration surface
- REST API (SQL over HTTP, plus a document Write API)
- Authentication
- API key
- Change detection
- Polling via SQL queries on timestamp fields; ingestion-side change capture is handled by Rockset's managed source connectors
- Capabilities
- read · write
Tableau
- Integration surface
- REST API, Metadata API (GraphQL), and VizQL Data Service
- Authentication
- Sign-in via Personal Access Token (PAT) or username/password returns a credentials token sent as the X-Tableau-Auth header; Connected Apps issue JWTs for OAuth-style access. One active session per PAT.
- Change detection
- 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.
- Capabilities
- read · webhooks
- Rate limits
- Tableau Cloud enforces per-site REST rate limits and returns HTTP 429; a PAT allows only one concurrent session and expires after 15 consecutive days of non-use.
How it works
How to connect Rockset to Tableau — 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 Rockset 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.
Rockset
connected
Tableau
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Rockset 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.
objects · Rockset ⇄ TableauCustomers 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.
Rockset TableauCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Rockset and Tableau integration FAQ
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Yes. Stacksync provides a managed, real-time integration between Rockset 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.
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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 Rockset and Tableau records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Rockset and Tableau connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Rockset–Tableau integration in-house.
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Yes — Stacksync ships production-grade connectors for both Rockset and Tableau. 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 Rockset: Polling via SQL queries on timestamp fields; ingestion-side change capture is handled by Rockset's managed source connectors. 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.
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On the Tableau side: Projects, Users, Databases and Tables, Extract Refresh Tasks, plus custom fields where Tableau exposes them. On the Rockset side: Workspaces, Query Lambdas, Aliases, Integrations. Stacksync auto-detects both schemas and converts types between the two systems.
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:
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