Real-time
Two-way sync
Changes in DealCloud or Supabase instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ Database
DealCloud to Supabase integration — real-time, two-way sync
Keep DealCloud and Supabase 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
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect DealCloud and Supabase
Treat DealCloud 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 Deal, Company, Contact, Fund from DealCloud into Schemas, auth.users, Row Level Security Policies, JSONB Columns in Supabase with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in DealCloud 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 Keep DealCloud contacts and relationships in sync with an enrichment or email platform to maintain accurate firm-wide relationship intelligence.
- 02 Mirror DealCloud activities and tasks into an operational database to power internal dashboards without hitting the API on every read.
- 03 Sync application tables in Supabase with the CRM two-way so new signups appear as contacts and sales edits flow back to the app
- 04 Mirror billing and subscription records into Supabase tables the application can join directly
Common sync patterns
Product events onto CRM records
Signup, usage, or lifecycle changes written to Supabase sync onto the matching records in DealCloud, 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 DealCloud API, limits, and retries.
Trigger workflows from CRM changes
Field and stage updates in DealCloud arrive as row changes in Supabase, ready to drive jobs and notifications.
What you can sync between DealCloud and Supabase
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.
| DealCloud objects | Supabase objects | How this pairing syncs | |
|---|---|---|---|
| Task Synced with incremental and full sync. | Database Functions Postgres functions that can transform or validate synced rows. | Task is specific to DealCloud and Database Functions to Supabase — each maps to any object or custom field on the other side. | |
| User Synced with incremental and full sync. | Storage Object Metadata File metadata rows that can be joined to synced application data. | User is specific to DealCloud and Storage Object Metadata to Supabase — each maps to any object or custom field on the other side. | |
| Deal Synced with incremental and full sync. | Tables Standard Postgres tables; the primary two-way sync target. | Deal is specific to DealCloud and Tables to Supabase — each maps to any object or custom field on the other side. | |
| Company Synced with incremental and full sync. | Views Read-side projections exposed to outbound syncs. | Company is specific to DealCloud and Views to Supabase — each maps to any object or custom field on the other side. | |
| Contact Synced with incremental and full sync. | Schemas Namespaces (public and custom) that scope sync access. | Contact is specific to DealCloud and Schemas to Supabase — each maps to any object or custom field on the other side. | |
| Fund Synced with incremental and full sync. | auth.users Managed authentication users, often mirrored into CRM or support systems. | Fund is specific to DealCloud and auth.users to Supabase — each maps to any object or custom field on the other side. |
How changes propagate between DealCloud and Supabase
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.
DealCloud Supabase Interval-based propagation
DetectionStacksync polls DealCloud for changes on an incremental schedule, reading only records changed since the previous pass. Incremental via each entry's last-modified timestamp.
DeliveryEach detected change is applied to Supabase as a row-level write, with types converted between the two schemas.
Supabase DealCloud 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 DealCloud through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- DealCloud: API request limits apply per firm tenant; Stacksync manages throttling and retries automatically.
- Supabase: SQL access is bounded by connection limits (pooled connections are provided); the REST layer is subject to the platform's limits.
What ships with DealCloud ⇄ Supabase
Connect DealCloud and Supabase for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every DealCloud–Supabase connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever DealCloud or Supabase 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 DealCloud or Supabase record.
Observability
Monitoring
Track your DealCloud ⇄ Supabase sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between DealCloud and Supabase.
How the DealCloud and Supabase connectors work
DealCloud
- Integration surface
- REST API (DealCloud Data API v2)
- Authentication
- OAuth 2.0 client-credentials; a DealCloud administrator generates a client ID and secret in the DealCloud admin API settings and grants Stacksync the required scopes
- Change detection
- Incremental via each entry's last-modified timestamp; DealCloud has no universal native change-data-capture, so Stacksync polls modified rows on an interval
- Capabilities
- read · write
- Rate limits
- API request limits apply per firm tenant; Stacksync manages throttling and retries automatically.
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
How it works
How to connect DealCloud to Supabase — 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 DealCloud and Supabase with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
DealCloud
connected
Supabase
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the DealCloud and Supabase 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 · DealCloud ⇄ SupabaseCustomers 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.
DealCloud SupabaseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
DealCloud and Supabase integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between DealCloud and Supabase: authenticate both systems, choose the objects to sync (such as DealCloud's Task and User), map fields visually, and changes propagate both ways in milliseconds — no code required.
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DealCloud: DealCloud is Intapp's deal and relationship management platform, purpose-built for private capital markets (private equity, venture capital, investment banking, and advisory firms). Supabase: Every Supabase project is a full PostgreSQL database, so standard Postgres drivers, SQL tooling, and log-based CDC apply directly. Stacksync's field mapping accounts for these differences between DealCloud and Supabase 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 DealCloud and Supabase records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed DealCloud and Supabase connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom DealCloud–Supabase integration in-house.
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Yes — Stacksync ships production-grade connectors for both DealCloud and Supabase. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on DealCloud: Incremental via each entry's last-modified timestamp; DealCloud has no universal native change-data-capture, so Stacksync polls modified rows on an interval. On Supabase: Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime; database webhooks can also fire on row changes. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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.
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:
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