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Database ⇄ Accounting and finance

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

Keep Amazon Aurora 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.

  • 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

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Why teams connect Amazon Aurora and Pigment

Work with Pigment's financial data straight from Amazon Aurora: 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 Applications, Metrics, Dimension lists, Tables from Pigment into Materialized Views, Columns and Data Types, Primary and Foreign Keys, Read Replicas in Amazon Aurora and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against Amazon Aurora, 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 Push CRM pipeline data (deals, stages, amounts) into Pigment for revenue and capacity planning.
  • 02 Export approved budgets and forecasts back to a warehouse or Postgres for downstream reporting.
  • 03 Offload sync reads to Aurora reader endpoints to avoid load on the writer instance.
  • 04 Two-way sync between Aurora application tables and a CRM so product data and account data stay consistent.

Common sync patterns

Write back safely

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

React to financial events

Changes in Pigment appear in Amazon Aurora 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 Amazon Aurora as regular tables or collections your team can join, index, and query.

What you can sync between Amazon Aurora 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.

Amazon Aurora objects Pigment objects How this pairing syncs
Tables Relational tables synced bi-directionally at row level. 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.
Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. Users and permissions Access controls governing which model areas a sync can touch Schemas is specific to Amazon Aurora and Users and permissions to Pigment — each maps to any object or custom field on the other side.
Views Read-only query-backed sources for downstream syncs. Applications Planning models organized by domain such as finance, sales, or workforce Views is specific to Amazon Aurora and Applications to Pigment — each maps to any object or custom field on the other side.
Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. Metrics Multidimensional values holding plans and actuals; the main target for inbound data Materialized Views is specific to Amazon Aurora and Metrics to Pigment — each maps to any object or custom field on the other side.
Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. Dimension lists Master data like accounts, products, or employees that metrics are sliced by Columns and Data Types is specific to Amazon Aurora and Dimension lists to Pigment — each maps to any object or custom field on the other side.
Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. Scenarios Versions such as budget, forecast, and actuals that give exported figures their context Primary and Foreign Keys is specific to Amazon Aurora and Scenarios to Pigment — each maps to any object or custom field on the other side.

How changes propagate between Amazon Aurora 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.

Amazon Aurora Pigment Sub-second propagation

DetectionChanges in Amazon Aurora are captured at the source via change data capture — no polling loop against its API. Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters.

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

Pigment Amazon Aurora 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 Amazon Aurora as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Amazon Aurora: No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits.
  • Pigment: Subject to the platform's API rate limits.
What ships with Amazon Aurora ⇄ Pigment

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Aurora 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 Amazon Aurora or Pigment record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Amazon Aurora and Pigment connectors work

Amazon Aurora

Integration surface
MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS
Authentication
Database credentials or IAM database authentication
Change detection
Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits

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 Amazon Aurora 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 Amazon Aurora 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
    Amazon Aurora connected
    Pigment connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Amazon Aurora 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.

Learn more about security
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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 341 integrations available for Amazon Aurora and Pigment.

Popular · 6 of 341
All Amazon Aurora integrations All Pigment integrations Browse all integrations
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