Two-way sync
Changes in Anaplan or Google Cloud SQL instantly reflect in both systems. No stale data, no manual imports.
Keep Anaplan 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.
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 Versions, Import and Export Actions, Processes, Cell Data from Anaplan into Rows, Views, Transaction logs, Instances in Google Cloud SQL and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against Google Cloud SQL, and rows your code writes or updates flow back into Anaplan with validation, so the finance system stays the system of record.
Customers, invoices, and payments from Anaplan live in Google Cloud SQL as regular tables or collections your team can join, index, and query.
Build dashboards and back-office tools directly on Google Cloud SQL; Stacksync handles the API calls, rate limits, and retries against Anaplan.
Updates written to the synced tables in Google Cloud SQL propagate into Anaplan, so automations can create or correct finance records without custom integration code.
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.
| Anaplan objects | Google Cloud SQL objects | |
|---|---|---|
| Import and Export Actions Predefined data-movement definitions the Bulk API executes. | Tables Mapped directly to sync targets; schema changes can be propagated. | |
| Processes Ordered bundles of actions run as a unit during scheduled syncs. | Rows Read and written by primary key during each sync cycle. | |
| Cell Data Individual intersections readable and writable through the transactional API. | Views Read-only sources for shaping data before syncing it out. | |
| Models The planning workspaces that contain all data; syncs target a specific model. | Transaction logs MySQL binlog or PostgreSQL WAL, the source for log-based change capture. | |
| Modules Multidimensional grids of line items where plan data lives; the main read/write surface. | Instances The managed MySQL, PostgreSQL, or SQL Server server a sync connects to. | |
| Line Items The measures within a module, mapped to columns or metrics in syncs. | Databases Scope the tables included in a sync configuration. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Anaplan–Google Cloud SQL connection.
Changes in Anaplan or Google Cloud SQL instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Anaplan 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 Anaplan or Google Cloud SQL record.
Track your Anaplan ⇄ Google Cloud SQL sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Anaplan 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 Anaplan 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 Anaplan 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 Anaplan and Google Cloud SQL: authenticate both systems, choose the objects to sync (such as Anaplan's Import and Export Actions and Processes), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Anaplan: Polling and scheduled export actions; the platform does not expose change events. On Google Cloud SQL: Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking; polling as a fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Anaplan side: Versions, Import and Export Actions, Processes, Cell Data, plus custom fields where Anaplan exposes them. On the Google Cloud SQL side: Rows, Views, Transaction logs, Instances. 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 Anaplan and Google Cloud SQL: Query finance data like any other data; Internal tools without API plumbing; Write back safely. Customers, invoices, and payments from Anaplan live in Google Cloud SQL as regular tables or collections your team can join, index, and query.
Anaplan: REST APIs: a Bulk API that runs predefined import/export actions and a transactional API for model metadata and cell data. Authentication: Token-based sessions obtained via basic authentication, CA certificates, or OAuth 2.0 through Anaplan's authentication service. 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.
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 Anaplan and Google Cloud SQL.