Two-way sync
Changes in Acumatica or Google Cloud SQL instantly reflect in both systems. No stale data, no manual imports.
Keep Acumatica and Google Cloud SQL in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
ERP data sits behind interfaces built for the ERP's own modules, not for your internal systems. Teams that need those records, for reporting services, internal tools, or automations, end up writing integration code against a strict API and maintaining it through every upgrade.
Stacksync mirrors Payments, Journal Transactions, Projects, Opportunities and Cases from Acumatica into Google Cloud SQL and keeps both sides consistent in real time. Whatever Acumatica is the system of record for, whether financials, operations, people, or procurement, those records become rows your code can query, and changes written in Google Cloud SQL sync back into Acumatica with its validations respected.
Worker and org records stay current in Google Cloud SQL for provisioning, access, and reporting systems that read from the database.
Choose exactly which tables and fields may flow from Google Cloud SQL back into Acumatica, keeping the ERP authoritative.
Records from Acumatica live in Google Cloud SQL as ordinary tables or collections, joinable with the rest of your data.
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.
| Acumatica objects | Google Cloud SQL objects | |
|---|---|---|
| Vendors Supplier records aligned with procurement and AP automation. | Tables Mapped directly to sync targets; schema changes can be propagated. | |
| Sales Orders Order documents created from e-commerce and CRM systems, read back for fulfillment status. | Rows Read and written by primary key during each sync cycle. | |
| Invoices AR and AP billing documents synced for payment tracking and CRM visibility. | Views Read-only sources for shaping data before syncing it out. | |
| Purchase Orders Procurement documents exchanged with supplier-facing systems. | Transaction logs MySQL binlog or PostgreSQL WAL, the source for log-based change capture. | |
| Stock Items Inventory master data with quantities shared with external sales channels. | Instances The managed MySQL, PostgreSQL, or SQL Server server a sync connects to. | |
| Shipments Fulfillment documents read to update tracking in storefronts and CRMs. | Databases Scope the tables included in a sync configuration. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Acumatica–Google Cloud SQL connection.
Changes in Acumatica or Google Cloud SQL instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Acumatica or Google Cloud SQL data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Acumatica or Google Cloud SQL record.
Track your Acumatica ⇄ Google Cloud SQL sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Acumatica and Google Cloud SQL.
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 Acumatica and Google Cloud SQL 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 Acumatica and Google Cloud SQL 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 Acumatica and Google Cloud SQL: authenticate both systems, choose the objects to sync (such as Acumatica's Vendors and Sales Orders), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Google Cloud SQL side: Tables, Rows, Views, Transaction logs, plus custom fields where Google Cloud SQL exposes them. On the Acumatica side: Payments, Journal Transactions, Projects, Opportunities and Cases. 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.
Common patterns for Acumatica and Google Cloud SQL: Where Acumatica is the HR system of record: people data for internal systems; Controlled write-back; Read ERP records with a query. Worker and org records stay current in Google Cloud SQL for provisioning, access, and reporting systems that read from the database.
Acumatica: Contract-based REST API (JSON over versioned endpoints), plus SOAP web services and OData access to Generic Inquiries. Authentication: OAuth 2.0 or cookie-based session login with Acumatica credentials. Google Cloud SQL: Native SQL wire protocols (MySQL, PostgreSQL, SQL Server) plus a REST admin API for instance management. Authentication: Database credentials; IAM database authentication is available for MySQL and PostgreSQL. Stacksync manages authentication, retries, and rate limits on both sides.
Google Cloud SQL: Change capture is engine-specific: binlog replication on MySQL, logical replication slots on PostgreSQL, and change tracking or CDC features on SQL Server. Acumatica: Push notifications can be configured to send data-change notifications to an external URL, based on generic inquiries that define which changes to watch. Stacksync's field mapping accounts for these differences between Acumatica and Google Cloud SQL without custom code.
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 386 integrations available for Acumatica and Google Cloud SQL.