Real-time
Two-way sync
Changes in Nutshell or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ Database
Nutshell to Postgres Heroku integration — real-time, two-way sync
Keep Nutshell 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.
- 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 Nutshell and Postgres Heroku
Treat Nutshell like part of your database: its records live in Postgres Heroku as real tables, and writes in either place sync to the other in seconds.
Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in Postgres Heroku, where it can be queried and joined like everything else.
Stacksync mirrors Tags, Users, Leads, People from Nutshell into Materialized Views, Schemas, Primary and Unique Keys, JSONB Columns in Postgres Heroku with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Nutshell with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.
Common use cases
- Push closed-won leads to accounting software to trigger invoicing automatically.
- Keep People and Companies consistent between Nutshell and email marketing or outreach tools.
- Expose CRM objects as Postgres tables the Heroku application can query and join directly
- Sync Heroku Postgres into a warehouse for reporting without running ETL dynos
Product events onto CRM records
Signup, usage, or lifecycle changes written to Postgres Heroku sync onto the matching records in Nutshell, giving go-to-market teams live product context.
Internal tools without API code
Back-office apps read and write the synced tables; Stacksync handles the Nutshell API, limits, and retries.
Trigger workflows from CRM changes
Field and stage updates in Nutshell arrive as row changes in Postgres Heroku, ready to drive jobs and notifications.
What you can sync between Nutshell and Postgres Heroku
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.
| Nutshell objects | Postgres Heroku objects | |
|---|---|---|
| Activities Logged calls, meetings, and emails used for engagement reporting | Views Read-side projections exposed to outbound syncs. | |
| Tasks Rep to-dos mirrored into external work-management or reporting systems | Materialized Views Precomputed result sets synced outward on refresh. | |
| Notes Free-text history attached to leads and contacts, replicated for a full timeline | Schemas Namespaces that scope which tables a sync reads and writes. | |
| Products Line items attached to leads, used to sync sold products into billing | Primary and Unique Keys Match keys for idempotent upserts from connected systems. | |
| Tags Segmentation labels mapped to lists or filters in downstream tools | JSONB Columns Semi-structured payloads for nested SaaS objects and metadata. | |
| Users Rep records used to resolve ownership when syncing assignments | Sequences Generate surrogate keys for rows created by inbound syncs. |
What ships with Nutshell ⇄ Postgres Heroku
Connect Nutshell and Postgres Heroku for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Nutshell–Postgres Heroku connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Nutshell or Postgres Heroku 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 Nutshell or Postgres Heroku record.
Observability
Monitoring
Track your Nutshell ⇄ Postgres Heroku sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Nutshell and Postgres Heroku.
How the Nutshell and Postgres Heroku connectors work
Nutshell
- Integration surface
- JSON-RPC API over HTTPS; a newer REST API is also offered
- Authentication
- HTTP Basic with account email and API key
- Change detection
- webhook subscriptions for record events, with polling as fallback
- Capabilities
- read · write · webhooks
- Rate limits
- subject to the platform's API rate limits
Postgres Heroku
- Integration surface
- SQL wire protocol (standard PostgreSQL)
- Authentication
- Database credentials from the Heroku DATABASE_URL config var; SSL required
- Change detection
- Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
- Capabilities
- read · write
- Rate limits
- No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
How it works
How to connect Nutshell to Postgres Heroku — 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.
- 01
Connect your apps
Authenticate Nutshell 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.
Nutshell
connected
Postgres Heroku
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Nutshell 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.
objects · Nutshell ⇄ Postgres HerokuCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Nutshell Postgres HerokuCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Nutshell and Postgres Heroku integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Nutshell and Postgres Heroku: authenticate both systems, choose the objects to sync (such as Nutshell's Activities and Tasks), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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.
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Common patterns for Nutshell and Postgres Heroku: Product events onto CRM records; Internal tools without API code; Trigger workflows from CRM changes. Signup, usage, or lifecycle changes written to Postgres Heroku sync onto the matching records in Nutshell, giving go-to-market teams live product context.
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Nutshell: JSON-RPC API over HTTPS; a newer REST API is also offered. Authentication: HTTP Basic with account email and API key. 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.
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Nutshell: The deal object is called a Lead in Nutshell, and it links to separate People and Company records rather than replacing them. Postgres Heroku: All connections require SSL, and server-level settings such as replication configuration are controlled by Heroku rather than the user. Stacksync's field mapping accounts for these differences between Nutshell and Postgres Heroku without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Nutshell and Postgres Heroku records are not retained after a sync operation.
SECURITY
Security teams love 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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Nutshell and Postgres Heroku.
Popular · 8 of 386
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Nutshell ⇄ Scaleway Postgres -
Nutshell ⇄ TiDB -
Nutshell ⇄ TimescaleDB -
Nutshell ⇄ VoltDB -
Postgres Heroku ⇄ Microsoft Dynamics 365 Sales -
Postgres Heroku ⇄ Attio -
Postgres Heroku ⇄ Pipedrive -
Postgres Heroku ⇄ Zoho CRM
No integrations match .
