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Business productivity ⇄ Database

Gainsight to PostgreSQL integration — real-time, two-way sync

Keep Gainsight and PostgreSQL in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Gainsight and PostgreSQL

Mirror Gainsight's data into PostgreSQL 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 PostgreSQL.

Stacksync mirrors Timeline Activity, Success Plan, Task and Playbook, Custom Objects from Gainsight into Custom Types and Enums, Tables, Views, Materialized Views in PostgreSQL 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 Read Timeline Activities and Success Plan objectives into a reporting database for churn, QBR, and CSM-productivity dashboards.
  • 02 Keep Relationship records aligned with a billing system or ERP so multi-product customers map to the correct contracts and invoices.
  • 03 Let an application write to its own database and have those rows appear as records in business systems in near real time
  • 04 Consolidate data from several microservice databases into one operational Postgres store

Common sync patterns

Read Gainsight with a query

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

Automate Gainsight from your codebase

Write to the synced tables in PostgreSQL and Stacksync propagates the change into Gainsight, replacing custom integration code.

React to changes as they happen

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

What you can sync between Gainsight and PostgreSQL

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 PostgreSQL objects How this pairing syncs
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. Views Read-side projections used to expose joined or filtered data to a sync. Relationship is specific to Gainsight and Views to PostgreSQL — 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. Materialized Views Precomputed result sets synced outward on a refresh schedule. CTA (Call to Action) is specific to Gainsight and Materialized Views to PostgreSQL — 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. Schemas Namespaces that scope which tables a sync reads and writes. Scorecard Fact is specific to Gainsight and Schemas to PostgreSQL — each maps to any object or custom field on the other side.
Timeline Activity Logged calls, emails, and notes; usually read out into a reporting database for QBR and churn analysis. Columns Field-level mapping targets; types are mapped to the connected system's field types. Timeline Activity is specific to Gainsight and Columns to PostgreSQL — each maps to any object or custom field on the other side.
Success Plan Account objectives with associated tasks; read out for reporting or synced with project tools tracking onboarding and adoption. Primary and Unique Keys Used as match keys for idempotent upserts and conflict resolution. Success Plan is specific to Gainsight and Primary and Unique Keys to PostgreSQL — each maps to any object or custom field on the other side.
Task and Playbook Cockpit tasks generated from CTAs and playbooks; synced with Jira or Asana so execution happens in the team's own tool. JSONB Columns Hold semi-structured payloads such as nested SaaS objects or metadata. Task and Playbook is specific to Gainsight and JSONB Columns to PostgreSQL — each maps to any object or custom field on the other side.

How changes propagate between Gainsight and PostgreSQL

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 PostgreSQL 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 PostgreSQL as a row-level write, with types converted between the two schemas.

PostgreSQL Gainsight Sub-second propagation

DetectionChanges in PostgreSQL are captured at the source via change data capture — no polling loop against its API. Logical replication (wal_level = logical) for change data capture via the "Postgres" connector.

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.
  • PostgreSQL: No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput.
What ships with Gainsight ⇄ PostgreSQL

Connect Gainsight and PostgreSQL for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Gainsight or PostgreSQL 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 PostgreSQL record.

Observability

Monitoring

Track your Gainsight ⇄ PostgreSQL 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 PostgreSQL.

How the Gainsight and PostgreSQL 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.

PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL frontend/backend protocol)
Authentication
Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
Change detection
Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput
PostgreSQL setup guide
How it works

How to connect Gainsight to PostgreSQL — 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 PostgreSQL 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
    PostgreSQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Gainsight and PostgreSQL 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 ⇄ PostgreSQL
    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 PostgreSQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Gainsight and PostgreSQL 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 550 integrations available for Gainsight and PostgreSQL.

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