Two-way sync
Changes in Google AlloyDB or Pigment instantly reflect in both systems. No stale data, no manual imports.
Keep Google AlloyDB 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.
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 Tables, Views, Materialized Views, Indexes in Google AlloyDB and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against Google AlloyDB, and rows your code writes or updates flow back into Pigment with validation, so the finance system stays the system of record.
Build dashboards and back-office tools directly on Google AlloyDB; Stacksync handles the API calls, rate limits, and retries against Pigment.
Updates written to the synced tables in Google AlloyDB propagate into Pigment, so automations can create or correct finance records without custom integration code.
Changes in Pigment appear in Google AlloyDB as row changes, so you can trigger downstream logic with the database tooling you already use.
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.
| Google AlloyDB objects | Pigment objects | How this pairing syncs | |
|---|---|---|---|
| Tables Primary read/write target for bi-directional sync with CRMs and other systems. | 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. | |
| Materialized Views Precomputed aggregates refreshed and synced outward on a schedule. | Metrics Multidimensional values holding plans and actuals; the main target for inbound data | Materialized Views is specific to Google AlloyDB and Metrics to Pigment — each maps to any object or custom field on the other side. | |
| Indexes Keep sync key lookups fast on high-volume tables. | Dimension lists Master data like accounts, products, or employees that metrics are sliced by | Indexes is specific to Google AlloyDB and Dimension lists to Pigment — each maps to any object or custom field on the other side. | |
| Sequences ID generation relevant when external systems insert rows. | Scenarios Versions such as budget, forecast, and actuals that give exported figures their context | Sequences is specific to Google AlloyDB and Scenarios to Pigment — each maps to any object or custom field on the other side. | |
| Replication Slots Logical replication artifacts that back log-based change capture. | Data imports Scheduled loads that bring actuals from ERPs, CRMs, and HRIS into the model | Replication Slots is specific to Google AlloyDB and Data imports to Pigment — each maps to any object or custom field on the other side. | |
| Databases Standard PostgreSQL databases within an AlloyDB cluster that syncs connect to. | Users and permissions Access controls governing which model areas a sync can touch | Databases is specific to Google AlloyDB and Users and permissions to Pigment — each maps to any object or custom field on the other side. |
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.
DetectionChanges in Google AlloyDB are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication.
DeliveryEach detected change is written to Pigment through its API, with automatic retries and rate-limit backoff.
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 Google AlloyDB as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Google AlloyDB–Pigment connection.
Changes in Google AlloyDB or Pigment instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Google AlloyDB or Pigment data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Google AlloyDB or Pigment record.
Track your Google AlloyDB ⇄ Pigment sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Google AlloyDB and Pigment.
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.
Authenticate Google AlloyDB 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.
Pick the Google AlloyDB 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Google AlloyDB and Pigment: authenticate both systems, choose the objects to sync (such as Google AlloyDB's Tables and Materialized Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Google AlloyDB and Pigment connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Google AlloyDB–Pigment integration in-house.
Yes — Stacksync ships production-grade connectors for both Google AlloyDB and Pigment. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Google AlloyDB: Log-based CDC via PostgreSQL logical replication; polling on timestamp columns as a fallback. On Pigment: No change feed; syncs run scheduled imports and exports. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Pigment side: Applications, Metrics, Dimension lists, Tables, plus custom fields where Pigment exposes them. On the Google AlloyDB side: Tables, Views, Materialized Views, Indexes. Stacksync auto-detects both schemas and converts types between the two systems.
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.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 352 integrations available for Google AlloyDB and Pigment.