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Database ⇄ CRM

Supabase to Vitally integration — real-time, two-way sync

Keep Supabase and Vitally 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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  • POC with real engineers in minutes

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

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Why teams connect Supabase and Vitally

Treat Vitally like part of your database: its records live in Supabase 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 Supabase, where it can be queried and joined like everything else.

Stacksync mirrors Task, Note, Conversation, NPS Response from Vitally into JSONB Columns, Database Functions, Storage Object Metadata, Tables in Supabase with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Vitally 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

  • 01 Mirror product-usage traits and NPS responses into a warehouse for retention and expansion reporting.
  • 02 Push billing and subscription changes from an ERP or billing system into Vitally to keep success playbooks accurate.
  • 03 Push product events captured in Supabase Postgres to marketing tools for lifecycle campaigns
  • 04 Consolidate Supabase project data into a warehouse for analytics while keeping the app database as the system of record

Common sync patterns

Internal tools without API code

Back-office apps read and write the synced tables; Stacksync handles the Vitally API, limits, and retries.

Trigger workflows from CRM changes

Field and stage updates in Vitally arrive as row changes in Supabase, ready to drive jobs and notifications.

Query the CRM like a database

Accounts, contacts, and custom objects from Vitally become tables in Supabase you can join with application data directly.

What you can sync between Supabase and Vitally

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.

Supabase objects Vitally objects How this pairing syncs
Storage Object Metadata File metadata rows that can be joined to synced application data. Task CS tasks and follow-ups, readable and writable for workflow sync. Storage Object Metadata is specific to Supabase and Task to Vitally — each maps to any object or custom field on the other side.
Tables Standard Postgres tables; the primary two-way sync target. Note Account and user notes captured by success teams. Tables is specific to Supabase and Note to Vitally — each maps to any object or custom field on the other side.
Views Read-side projections exposed to outbound syncs. Conversation Customer conversations logged in Vitally; activity objects include parent object details in the payload. Views is specific to Supabase and Conversation to Vitally — each maps to any object or custom field on the other side.
Schemas Namespaces (public and custom) that scope sync access. NPS Response NPS survey responses for account-health reporting. Schemas is specific to Supabase and NPS Response to Vitally — each maps to any object or custom field on the other side.
auth.users Managed authentication users, often mirrored into CRM or support systems. Custom Trait Custom account and user traits for segmentation. auth.users is specific to Supabase and Custom Trait to Vitally — each maps to any object or custom field on the other side.
Row Level Security Policies Row-level access rules that govern what the REST layer exposes. Account Core customer account records with health scores and lifecycle traits; created, updated, retrieved, and listed via the REST API. Row Level Security Policies is specific to Supabase and Account to Vitally — each maps to any object or custom field on the other side.

How changes propagate between Supabase and Vitally

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.

Supabase Vitally Sub-second propagation

DetectionSupabase pushes changes as they happen — webhook events backed by change data capture. Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime.

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

Vitally Supabase Sub-second propagation

DetectionVitally notifies Stacksync of record changes through webhook events. Incremental polling on updatedAt cursors.

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

Rate-limit considerations

  • Supabase: SQL access is bounded by connection limits (pooled connections are provided); the REST layer is subject to the platform's limits.
  • Vitally: Default rate limit of 1,000 requests/min (token bucket); write operations consume more budget, headers expose remaining quota.
What ships with Supabase ⇄ Vitally

Connect Supabase and Vitally for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in Supabase or Vitally instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Supabase or Vitally 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 Supabase or Vitally record.

Observability

Monitoring

Track your Supabase ⇄ Vitally sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Supabase and Vitally.

How the Supabase and Vitally connectors work

Supabase

Integration surface
Direct PostgreSQL wire protocol connection, plus an auto-generated REST API (PostgREST)
Authentication
Database credentials (connection string) for SQL access; API keys (anon / service role) for the REST layer
Change detection
Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime; database webhooks can also fire on row changes
Capabilities
read · write · CDC · webhooks
Rate limits
SQL access is bounded by connection limits (pooled connections are provided); the REST layer is subject to the platform's limits

Vitally

Integration surface
REST API with cursor-based pagination (sortable by createdAt/updatedAt)
Authentication
API key via Basic Auth; keys created in Settings -> Integrations -> REST API and individually revocable
Change detection
Incremental polling on updatedAt cursors; playbook-triggered webhooks can push events for near real-time updates
Capabilities
read · write · webhooks
Rate limits
Default rate limit of 1,000 requests/min (token bucket); write operations consume more budget, headers expose remaining quota.
How it works

How to connect Supabase to Vitally — 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 Supabase and Vitally 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
    Supabase connected
    Vitally connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Supabase and Vitally 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 · Supabase ⇄ Vitally
    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
    Supabase Vitally
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Supabase and Vitally 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 390 integrations available for Supabase and Vitally.

Popular · 8 of 390
All Supabase integrations All Vitally integrations Browse all integrations
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