Real-time
Two-way sync
Changes in Pigment or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Accounting and finance ⇄ Database
Pigment to Postgres Heroku integration — real-time, two-way sync
Keep Pigment and Postgres Heroku 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 Pigment and Postgres Heroku
Work with Pigment's financial data straight from Postgres Heroku: read it with ordinary queries, write to it from your own code, and let Stacksync keep both sides consistent.
Engineers need finance data more often than finance systems make it easy to get: for internal tools, reporting services, or logic that reacts to invoices and payments. Working through the vendor API means rate limits, pagination, and glue code that has to be maintained forever.
Stacksync mirrors Tables, Scenarios, Data imports, Users and permissions from Pigment into Follower Databases, Tables, Views, Materialized Views in Postgres Heroku and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against Postgres Heroku, and rows your code writes or updates flow back into Pigment with validation, so the finance system stays the system of record.
Common use cases
- Sync headcount and compensation data from an HRIS into workforce planning models.
- Push CRM pipeline data (deals, stages, amounts) into Pigment for revenue and capacity planning.
- Keep several Heroku app databases aligned with one system of record
- Reflect billing and subscription records into the app database so product logic reads local rows
React to financial events
Changes in Pigment appear in Postgres Heroku as row changes, so you can trigger downstream logic with the database tooling you already use.
Query finance data like any other data
Customers, invoices, and payments from Pigment live in Postgres Heroku as regular tables or collections your team can join, index, and query.
Internal tools without API plumbing
Build dashboards and back-office tools directly on Postgres Heroku; Stacksync handles the API calls, rate limits, and retries against Pigment.
What you can sync between Pigment and Postgres Heroku
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.
| Pigment objects | Postgres Heroku objects | |
|---|---|---|
| Applications Planning models organized by domain such as finance, sales, or workforce | Schemas Namespaces that scope which tables a sync reads and writes. | |
| Metrics Multidimensional values holding plans and actuals; the main target for inbound data | Primary and Unique Keys Match keys for idempotent upserts from connected systems. | |
| Dimension lists Master data like accounts, products, or employees that metrics are sliced by | JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | |
| Tables Row-based transactional data loaded into models from source systems | Sequences Generate surrogate keys for rows created by inbound syncs. | |
| Scenarios Versions such as budget, forecast, and actuals that give exported figures their context | Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | |
| Data imports Scheduled loads that bring actuals from ERPs, CRMs, and HRIS into the model | Tables Standard Postgres tables; the primary two-way sync target for app data. |
What ships with Pigment ⇄ Postgres Heroku
Connect Pigment and Postgres Heroku for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Pigment–Postgres Heroku connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Pigment or Postgres Heroku 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 Pigment or Postgres Heroku record.
Observability
Monitoring
Track your Pigment ⇄ Postgres Heroku sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Pigment and Postgres Heroku.
How the Pigment and Postgres Heroku connectors work
Pigment
- Integration surface
- REST-based import and export API
- Authentication
- API keys, issued separately for import and export
- Change detection
- no change feed; syncs run scheduled imports and exports
- Capabilities
- read · write
- Rate limits
- subject to the platform's API rate limits
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
How it works
How to connect Pigment to Postgres Heroku — 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 Pigment and Postgres Heroku with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pigment
connected
Postgres Heroku
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Pigment and Postgres Heroku 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 · Pigment ⇄ Postgres HerokuCustomers 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.
Pigment Postgres HerokuCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Pigment and Postgres Heroku integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Pigment and Postgres Heroku: authenticate both systems, choose the objects to sync (such as Pigment's Applications and Metrics), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the Pigment side: Tables, Scenarios, Data imports, Users and permissions, plus custom fields where Pigment exposes them. On the Postgres Heroku side: Follower Databases, Tables, Views, Materialized Views. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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Common patterns for Pigment and Postgres Heroku: React to financial events; Query finance data like any other data; Internal tools without API plumbing. Changes in Pigment appear in Postgres Heroku as row changes, so you can trigger downstream logic with the database tooling you already use.
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Pigment: REST-based import and export API. Authentication: API keys, issued separately for import and export. Postgres Heroku: SQL wire protocol (standard PostgreSQL). Authentication: Database credentials from the Heroku DATABASE_URL config var; SSL required. Stacksync manages authentication, retries, and rate limits on both sides.
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Pigment: Scenario versioning (budget versus forecast versus actuals) is native to the model, so exports need a scenario context to be meaningful. Postgres Heroku: Heroku Postgres is standard PostgreSQL, so any Postgres client, driver, or SQL tool connects unchanged. Stacksync's field mapping accounts for these differences between Pigment and Postgres Heroku without custom code.
SECURITY
Security teams love 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
CSA STAR
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Pigment and Postgres Heroku.
Popular · 8 of 386
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Pigment ⇄ MariaDB -
Pigment ⇄ SQL Server -
Pigment ⇄ Airtable -
Pigment ⇄ AWS Aurora MySQL -
Postgres Heroku ⇄ Stripe -
Postgres Heroku ⇄ Rillet -
Postgres Heroku ⇄ Workday -
Postgres Heroku ⇄ Anaplan
No integrations match .
