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Database ⇄ Accounting and finance

AWS Aurora PostgreSQL to Pigment integration — real-time, two-way sync

Keep AWS Aurora PostgreSQL and Pigment 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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  • POC with real engineers in minutes

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

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Why teams connect AWS Aurora PostgreSQL and Pigment

Work with Pigment's financial data straight from AWS Aurora PostgreSQL: 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 Metrics, Dimension lists, Tables, Scenarios from Pigment into Tables, Rows, Columns, Primary keys and constraints in AWS Aurora PostgreSQL and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against AWS Aurora PostgreSQL, 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

  • 01 Sync headcount and compensation data from an HRIS into workforce planning models.
  • 02 Push CRM pipeline data (deals, stages, amounts) into Pigment for revenue and capacity planning.
  • 03 Keep a customer-facing Aurora database aligned with an internal admin tool, with writes accepted on both sides.
  • 04 Feed operational dashboards from a read replica while the writer handles sync traffic.

Common sync patterns

Query finance data like any other data

Customers, invoices, and payments from Pigment live in AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL; Stacksync handles the API calls, rate limits, and retries against Pigment.

Write back safely

Updates written to the synced tables in AWS Aurora PostgreSQL propagate into Pigment, so automations can create or correct finance records without custom integration code.

What you can sync between AWS Aurora PostgreSQL and Pigment

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.

AWS Aurora PostgreSQL objects Pigment objects How this pairing syncs
Tables The core sync unit; rows are matched across systems by primary key. Tables Row-based transactional data loaded into models from source systems Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Foreign keys Relationship metadata that syncs can translate into object references elsewhere. Dimension lists Master data like accounts, products, or employees that metrics are sliced by Foreign keys is specific to AWS Aurora PostgreSQL and Dimension lists to Pigment — each maps to any object or custom field on the other side.
Replication slots and publications The logical replication objects that power log-based CDC. Scenarios Versions such as budget, forecast, and actuals that give exported figures their context Replication slots and publications is specific to AWS Aurora PostgreSQL and Scenarios to Pigment — each maps to any object or custom field on the other side.
Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. Data imports Scheduled loads that bring actuals from ERPs, CRMs, and HRIS into the model Databases and schemas is specific to AWS Aurora PostgreSQL and Data imports to Pigment — each maps to any object or custom field on the other side.
Rows Inserted, updated, and deleted in both directions during bi-directional syncs. Users and permissions Access controls governing which model areas a sync can touch Rows is specific to AWS Aurora PostgreSQL and Users and permissions to Pigment — each maps to any object or custom field on the other side.
Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. Applications Planning models organized by domain such as finance, sales, or workforce Columns is specific to AWS Aurora PostgreSQL and Applications to Pigment — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora PostgreSQL and Pigment

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.

AWS Aurora PostgreSQL Pigment Sub-second propagation

DetectionChanges in AWS Aurora PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback.

DeliveryEach detected change is written to Pigment through its API, with automatic retries and rate-limit backoff.

Pigment AWS Aurora PostgreSQL Interval-based propagation

DetectionStacksync polls Pigment for changes on an incremental schedule, reading only records changed since the previous pass. No change feed.

DeliveryEach detected change is applied to AWS Aurora PostgreSQL as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Pigment: Subject to the platform's API rate limits.
What ships with AWS Aurora PostgreSQL ⇄ Pigment

Connect AWS Aurora PostgreSQL and Pigment for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Pigment connection.

Real-time

Two-way sync

Changes in AWS Aurora PostgreSQL or Pigment instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora PostgreSQL or Pigment 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 AWS Aurora PostgreSQL or Pigment record.

Observability

Monitoring

Track your AWS Aurora PostgreSQL ⇄ Pigment sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and Pigment.

How the AWS Aurora PostgreSQL and Pigment connectors work

AWS Aurora PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback
Capabilities
read · write · CDC

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
How it works

How to connect AWS Aurora PostgreSQL to Pigment — 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 AWS Aurora PostgreSQL and Pigment 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
    AWS Aurora PostgreSQL connected
    Pigment connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora PostgreSQL and Pigment 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 · AWS Aurora PostgreSQL ⇄ Pigment
    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
    AWS Aurora PostgreSQL Pigment
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora PostgreSQL and Pigment 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.

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→ 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 357 integrations available for AWS Aurora PostgreSQL and Pigment.

Popular · 4 of 357
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