Skip to content
Database ⇄ Analytics

Postgres Heroku to Tableau integration — real-time data sync

Keep Postgres Heroku 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.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Postgres Heroku and Tableau

Give Tableau the users, events, and records that live in Postgres Heroku in real time, and sync the cohorts and scores Tableau computes back into Postgres Heroku where your applications read them.

Tableau is a read-only source: Stacksync reads its data in real time and delivers it into Postgres Heroku, so Postgres Heroku 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 Postgres Heroku 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.

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 Expose CRM objects as Postgres tables the Heroku application can query and join directly
  • 04 Sync Heroku Postgres into a warehouse for reporting without running ETL dynos

Common sync patterns

Where Tableau tracks product events: behavior onto stored records

Signup, usage, and lifecycle events captured in Tableau sync into Postgres Heroku as rows, so applications and internal tools can read behavioral data next to the records they already keep.

Where Tableau builds cohorts or scores: results your services can read

Segments, cohorts, or scores computed in Tableau sync back into Postgres Heroku, where the services that read from the database act on them at query speed without calling the analytics API.

Analytics on live operational data, minus the pipeline

The users, events, orders, and records stored in Postgres Heroku land in Tableau as they change, so dashboards, funnels, and metrics run on current data instead of last night's extract.

What you can sync between Postgres Heroku 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.

Postgres Heroku objects Tableau objects How this pairing syncs
Views Read-side projections exposed to outbound syncs. Views Worksheets and dashboards inside workbooks; their data and crosstab export as CSV via the REST query-view-data endpoint. Same entity on both sides — records pair one-to-one and field-level changes reconcile in the writable direction.
Primary and Unique Keys Match keys for idempotent upserts from connected systems. Workbooks Workbook content and metadata read via the REST and Metadata APIs; create, update, and delete events fire webhooks for change detection. Primary and Unique Keys is specific to Postgres Heroku and Workbooks to Tableau — each maps to any object or custom field on the other side.
JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. Projects Folders that organize content and set permissions; listed via REST to mirror the site's content hierarchy into a catalog. JSONB Columns is specific to Postgres Heroku and Projects to Tableau — each maps to any object or custom field on the other side.
Sequences Generate surrogate keys for rows created by inbound syncs. 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. Sequences is specific to Postgres Heroku and Users to Tableau — each maps to any object or custom field on the other side.
Follower Databases Heroku-managed read replicas usable as low-impact sync sources. Databases and Tables External assets indexed by Tableau Catalog; queried via the Metadata API GraphQL endpoint for lineage and impact analysis. Follower Databases is specific to Postgres Heroku and Databases and Tables to Tableau — each maps to any object or custom field on the other side.
Tables Standard Postgres tables; the primary two-way sync target for app data. Extract Refresh Tasks Scheduled extract refreshes; status and history read via REST, with DatasourceRefreshSucceeded and Failed events delivered by webhooks. Tables is specific to Postgres Heroku and Extract Refresh Tasks to Tableau — each maps to any object or custom field on the other side.

How changes propagate between Postgres Heroku 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.

Postgres Heroku Tableau Interval-based propagation

DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.

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 Postgres Heroku records.

Tableau Postgres Heroku 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 Postgres Heroku as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
  • 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 Postgres Heroku ⇄ Tableau

Connect Postgres Heroku and Tableau for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Postgres Heroku–Tableau connection.

Real-time

Real-time sync

Changes in Postgres Heroku or Tableau instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Postgres Heroku 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 Postgres Heroku or Tableau record.

Observability

Monitoring

Track your Postgres Heroku ⇄ Tableau sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Postgres Heroku and Tableau.

How the Postgres Heroku and Tableau connectors work

Postgres Heroku

Integration surface
SQL wire protocol (standard PostgreSQL)
Authentication
Database credentials from the Heroku DATABASE_URL config var; SSL required
Change detection
Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
Capabilities
read · write
Rate limits
No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan

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 Postgres Heroku 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.

  1. 01

    Connect your apps

    Authenticate Postgres Heroku 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Postgres Heroku connected
    Tableau connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Postgres Heroku 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Postgres Heroku ⇄ Tableau
    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
    Postgres Heroku Tableau
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Postgres Heroku and Tableau integration FAQ

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.

Learn more about security
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:

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 380 integrations available for Postgres Heroku and Tableau.

Popular · 8 of 380
All Postgres Heroku integrations All Tableau integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own