Skip to content
Business productivity ⇄ Database

Gainsight to Google Cloud SQL integration — real-time, two-way sync

Keep Gainsight 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.

  • 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

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Gainsight and Google Cloud SQL

Mirror Gainsight's data into Google Cloud SQL so your own code can read and write it like any other table, with changes flowing both ways in seconds.

Engineers integrate with tools like Gainsight through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Google Cloud SQL.

Stacksync mirrors Company, Person (People), Relationship, CTA (Call to Action) from Gainsight into Transaction logs, Instances, Databases, Schemas in Google Cloud SQL and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Gainsight, so the tool and the database never disagree.

Common use cases

  • 01 Keep Relationship records aligned with a billing system or ERP so multi-product customers map to the correct contracts and invoices.
  • 02 Read Timeline Activities and Success Plan objectives into a reporting database for churn, QBR, and CSM-productivity dashboards.
  • 03 Migrate from a self-managed database by syncing Cloud SQL and the legacy system during cutover.
  • 04 Keep an internal admin application backed by Cloud SQL consistent with an ERP or billing system.

Common sync patterns

React to changes as they happen

Updates in Gainsight arrive as row changes in Google Cloud SQL, so triggers, jobs, and services can respond in near real time.

One integration pattern for the whole stack

Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.

Read Gainsight with a query

Records from Gainsight are ordinary rows in Google Cloud SQL; join them, index them, and use them in application logic without touching the vendor API.

What you can sync between Gainsight and Google Cloud SQL

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.

Gainsight objects Google Cloud SQL objects How this pairing syncs
Custom Objects Org-specific MDA tables with the __gc suffix; discoverable via the Describe API so field mappings can be generated automatically. Databases Scope the tables included in a sync configuration. Custom Objects is specific to Gainsight and Databases to Google Cloud SQL — each maps to any object or custom field on the other side.
Company Customer/account master in Gainsight CS; two-way synced with CRM and warehouse customer tables to keep ARR, owner, and renewal fields aligned. Schemas Namespace tables in PostgreSQL and SQL Server instances. Company is specific to Gainsight and Schemas to Google Cloud SQL — each maps to any object or custom field on the other side.
Person (People) Contacts associated to companies through the Company Person junction; synced two-way with CRM contacts and warehouse person records. Tables Mapped directly to sync targets; schema changes can be propagated. Person (People) is specific to Gainsight and Tables to Google Cloud SQL — each maps to any object or custom field on the other side.
Relationship Sub-units within a company for multi-product or multi-team accounts; synced so each maps to the right contract in billing or an ERP. Rows Read and written by primary key during each sync cycle. Relationship is specific to Gainsight and Rows to Google Cloud SQL — each maps to any object or custom field on the other side.
CTA (Call to Action) Risk and expansion alerts that drive CSM plays; often synced to ticketing or project tools so follow-up work is tracked where teams operate. Views Read-only sources for shaping data before syncing it out. CTA (Call to Action) is specific to Gainsight and Views to Google Cloud SQL — each maps to any object or custom field on the other side.
Scorecard Fact Health scores and measures per Company or Relationship; usage metrics from a warehouse are written in so scores reflect live telemetry. Transaction logs MySQL binlog or PostgreSQL WAL, the source for log-based change capture. Scorecard Fact is specific to Gainsight and Transaction logs to Google Cloud SQL — each maps to any object or custom field on the other side.

How changes propagate between Gainsight and Google Cloud SQL

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.

Gainsight Google Cloud SQL Interval-based propagation

DetectionStacksync polls Gainsight for changes on an incremental schedule, reading only records changed since the previous pass. Polling on the ModifiedDate (GS Modified Date) system field, which is filterable and sortable on every object.

DeliveryEach detected change is applied to Google Cloud SQL as a row-level write, with types converted between the two schemas.

Google Cloud SQL Gainsight Sub-second propagation

DetectionChanges in Google Cloud SQL are captured at the source via change data capture — no polling loop against its API. Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking.

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

Rate-limit considerations

  • Gainsight: Synchronous APIs are capped near 100 calls/min and 50,000/day; the asynchronous Bulk API allows 10 calls/hour and 100/day. Both are fixed-window limits, and the applicable per-hour and per-day limits are returned in the x-ratelimit-limit response header.
  • Google Cloud SQL: Constrained by instance size and connection limits rather than API quotas.
What ships with Gainsight ⇄ Google Cloud SQL

Connect Gainsight and Google Cloud SQL for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Gainsight–Google Cloud SQL connection.

Real-time

Two-way sync

Changes in Gainsight or Google Cloud SQL instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Gainsight or Google Cloud SQL 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 Gainsight or Google Cloud SQL record.

Observability

Monitoring

Track your Gainsight ⇄ Google Cloud SQL sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Gainsight and Google Cloud SQL.

How the Gainsight and Google Cloud SQL connectors work

Gainsight

Integration surface
REST APIs (per-object) and asynchronous Bulk REST API
Authentication
API access key passed in the 'accesskey' request header (non-expiring), generated by a Gainsight admin; M2M OAuth (Client ID/Secret) is also supported
Change detection
Polling on the ModifiedDate (GS Modified Date) system field, which is filterable and sortable on every object; Rules Engine Real-Time Rules can optionally push specific object events (e.g., a Company stage change) to an external endpoint
Capabilities
read · write
Rate limits
Synchronous APIs are capped near 100 calls/min and 50,000/day; the asynchronous Bulk API allows 10 calls/hour and 100/day. Both are fixed-window limits, and the applicable per-hour and per-day limits are returned in the x-ratelimit-limit response header.

Google Cloud SQL

Integration surface
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
Change detection
Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking; polling as a fallback
Capabilities
read · write · CDC
Rate limits
Constrained by instance size and connection limits rather than API quotas.
How it works

How to connect Gainsight to Google Cloud SQL — 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 Gainsight 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Gainsight connected
    Google Cloud SQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Gainsight 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Gainsight ⇄ Google Cloud SQL
    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
    Gainsight Google Cloud SQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Gainsight and Google Cloud SQL 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
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ 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 440 integrations available for Gainsight and Google Cloud SQL.

Popular · 6 of 440
All Gainsight integrations All Google Cloud SQL integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own