Real-time
Two-way sync
Changes in DealCloud or Scaleway Postgres instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ Database
DealCloud to Scaleway Postgres integration — real-time, two-way sync
Keep DealCloud and Scaleway Postgres 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
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Why teams connect DealCloud and Scaleway Postgres
Treat DealCloud like part of your database: its records live in Scaleway Postgres 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 Scaleway Postgres, where it can be queried and joined like everything else.
Stacksync mirrors Investment, Relationship, Activity, Task from DealCloud into Schemas, Sequences, Columns, Tables in Scaleway Postgres 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 Mirror DealCloud activities and tasks into an operational database to power internal dashboards without hitting the API on every read.
- 02 Push portfolio and fund performance data from a warehouse into DealCloud so dealmakers see up-to-date metrics on each investment.
- 03 Back internal tools with the same Postgres instance while Stacksync keeps it consistent with external systems
- 04 Keep an EU-hosted Postgres as the system of record while distributing data to US-hosted SaaS applications
Common sync patterns
Product events onto CRM records
Signup, usage, or lifecycle changes written to Scaleway Postgres 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 Scaleway Postgres, ready to drive jobs and notifications.
What you can sync between DealCloud and Scaleway Postgres
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 | Scaleway Postgres objects | How this pairing syncs | |
|---|---|---|---|
| Activity Synced with incremental and full sync. | Tables Primary sync unit; each table maps to an object or table on the other side of the sync. | Activity is specific to DealCloud and Tables to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Task Synced with incremental and full sync. | Views Read-only sources for shaping data before it leaves the database. | Task is specific to DealCloud and Views to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| User Synced with incremental and full sync. | Materialized views Precomputed result sets that can be read on a schedule for downstream syncs. | User is specific to DealCloud and Materialized views to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Deal Synced with incremental and full sync. | Schemas Namespace tables so multiple applications or environments can be synced selectively. | Deal is specific to DealCloud and Schemas to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Company Synced with incremental and full sync. | Sequences Generate primary keys; sync tooling must respect them when writing rows. | Company is specific to DealCloud and Sequences to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Contact Synced with incremental and full sync. | Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. | Contact is specific to DealCloud and Columns to Scaleway Postgres — each maps to any object or custom field on the other side. |
How changes propagate between DealCloud and Scaleway Postgres
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 Scaleway Postgres 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 Scaleway Postgres as a row-level write, with types converted between the two schemas.
Scaleway Postgres DealCloud Sub-second propagation
DetectionChanges in Scaleway Postgres are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication where the managed instance permits it.
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.
- Scaleway Postgres: Throughput is bounded by instance size and connection limits rather than API quotas.
What ships with DealCloud ⇄ Scaleway Postgres
Connect DealCloud and Scaleway Postgres for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every DealCloud–Scaleway Postgres connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever DealCloud or Scaleway Postgres 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 Scaleway Postgres record.
Observability
Monitoring
Track your DealCloud ⇄ Scaleway Postgres 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 Scaleway Postgres.
How the DealCloud and Scaleway Postgres 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.
Scaleway Postgres
- Integration surface
- SQL wire protocol (PostgreSQL)
- Authentication
- Database credentials (username/password over TLS)
- Change detection
- Log-based CDC via PostgreSQL logical replication where the managed instance permits it; otherwise timestamp or query-based polling
- Capabilities
- read · write · CDC
- Rate limits
- Throughput is bounded by instance size and connection limits rather than API quotas
How it works
How to connect DealCloud to Scaleway Postgres — 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 Scaleway Postgres 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
Scaleway Postgres
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the DealCloud and Scaleway Postgres 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 ⇄ Scaleway PostgresCustomers 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 Scaleway PostgresCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
DealCloud and Scaleway Postgres integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between DealCloud and Scaleway Postgres: authenticate both systems, choose the objects to sync (such as DealCloud's Activity and Task), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both DealCloud and Scaleway Postgres. 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 Scaleway Postgres: Log-based CDC via PostgreSQL logical replication where the managed instance permits it; otherwise timestamp or query-based polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the DealCloud side: Investment, Relationship, Activity, Task, plus custom fields where DealCloud exposes them. On the Scaleway Postgres side: Schemas, Sequences, Columns, Tables. Stacksync auto-detects both schemas and converts types between the two systems.
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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 DealCloud and Scaleway Postgres: Product events onto CRM records; Internal tools without API code; Trigger workflows from CRM changes. Signup, usage, or lifecycle changes written to Scaleway Postgres sync onto the matching records in DealCloud, giving go-to-market teams live product context.
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:
Related integrations
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Scaleway Postgres ⇄ Kommo -
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Scaleway Postgres ⇄ Nutshell
No integrations match .
