Two-way sync
Changes in Gainsight or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Keep Gainsight and Postgres Heroku 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 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 Postgres Heroku.
Stacksync mirrors Custom Objects, Company, Person (People), Relationship from Gainsight into Tables, Views, Materialized Views, Schemas in Postgres Heroku 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.
Records from Gainsight are ordinary rows in Postgres Heroku; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in Postgres Heroku and Stacksync propagates the change into Gainsight, replacing custom integration code.
Updates in Gainsight arrive as row changes in Postgres Heroku, so triggers, jobs, and services can respond in near real time.
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 | Postgres Heroku objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Tables Standard Postgres tables; the primary two-way sync target for app data. | CTA (Call to Action) is specific to Gainsight and Tables to Postgres Heroku — 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. | Views Read-side projections exposed to outbound syncs. | Scorecard Fact is specific to Gainsight and Views to Postgres Heroku — 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. | Materialized Views Precomputed result sets synced outward on refresh. | Timeline Activity is specific to Gainsight and Materialized Views to Postgres Heroku — 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. | Schemas Namespaces that scope which tables a sync reads and writes. | Success Plan is specific to Gainsight and Schemas to Postgres Heroku — 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. | Primary and Unique Keys Match keys for idempotent upserts from connected systems. | Task and Playbook is specific to Gainsight and Primary and Unique Keys to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Custom Objects Org-specific MDA tables with the __gc suffix; discoverable via the Describe API so field mappings can be generated automatically. | JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | Custom Objects is specific to Gainsight and JSONB Columns to Postgres Heroku — 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.
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 Postgres Heroku as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.
DeliveryEach detected change is written to Gainsight through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Gainsight–Postgres Heroku connection.
Changes in Gainsight or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Gainsight or Postgres Heroku data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Gainsight or Postgres Heroku record.
Track your Gainsight ⇄ Postgres Heroku sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Gainsight and Postgres Heroku.
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 Gainsight and Postgres Heroku 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 Gainsight and Postgres Heroku 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 Gainsight and Postgres Heroku: authenticate both systems, choose the objects to sync (such as Gainsight's CTA (Call to Action) and Scorecard Fact), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Gainsight side: Custom Objects, Company, Person (People), Relationship, plus custom fields where Gainsight exposes them. On the Postgres Heroku side: Tables, Views, Materialized Views, Schemas. 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 Gainsight and Postgres Heroku: Read Gainsight with a query; Automate Gainsight from your codebase; React to changes as they happen. Records from Gainsight are ordinary rows in Postgres Heroku; join them, index them, and use them in application logic without touching the vendor API.
Gainsight: 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. Postgres Heroku: SQL wire protocol (standard PostgreSQL). Authentication: Database credentials from the Heroku DATABASE_URL config var; SSL required. Stacksync manages authentication, retries, and rate limits on both sides.
Gainsight: There is no general change-event stream; near-real-time outbound is limited to Rules Engine Real-Time Rules configured per event topic, so continuous sync relies on ModifiedDate polling. Postgres Heroku: Heroku Postgres is standard PostgreSQL, so any Postgres client, driver, or SQL tool connects unchanged. Stacksync's field mapping accounts for these differences between Gainsight and Postgres Heroku 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 453 integrations available for Gainsight and Postgres Heroku.