Real-time
Real-time sync
Changes in BetterContact or Scaleway Postgres instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Database
BetterContact to Scaleway Postgres integration — real-time data sync
Keep BetterContact 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
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 BetterContact and Scaleway Postgres
Mirror BetterContact's data into Scaleway Postgres so your own code can read and write it like any other table, with changes flowing both ways in seconds.
BetterContact is a read-only source: Stacksync reads its data in real time and delivers it into Scaleway Postgres, so Scaleway Postgres always reflects the current state of BetterContact — without exports, scripts, or schedulers.
Engineers integrate with tools like BetterContact 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 Scaleway Postgres.
Stacksync mirrors Company, Lead Finder Search, Enrichment Request, Enriched Contact from BetterContact into Views, Materialized views, Schemas, Sequences in Scaleway Postgres 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 BetterContact, so the tool and the database never disagree.
Common use cases
- 01 Validate catch-all email addresses before sending to protect sender domain reputation.
- 02 Enrich new CRM leads with verified emails and mobile numbers as they are created, writing results back to the CRM record.
- 03 Keep an EU-hosted Postgres as the system of record while distributing data to US-hosted SaaS applications
- 04 Sync production tables from Scaleway Postgres into a CRM so sales and support see live product usage on customer records
Common sync patterns
React to changes as they happen
Updates in BetterContact arrive as row changes in Scaleway Postgres, so triggers, jobs, and services can respond in near real time.
One integration pattern for the whole stack
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Read BetterContact with a query
Records from BetterContact are ordinary rows in Scaleway Postgres; join them, index them, and use them in application logic without touching the vendor API.
What you can sync between BetterContact 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.
| BetterContact objects | Scaleway Postgres objects | How this pairing syncs | |
|---|---|---|---|
| Enriched Contact Verified work emails and mobile numbers with job title, LinkedIn profile, location, and skills. | Sequences Generate primary keys; sync tooling must respect them when writing rows. | Enriched Contact is specific to BetterContact and Sequences to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Company Company data returned with each contact: name, domain, HQ location, industry, employee count. | Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. | Company is specific to BetterContact and Columns to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Lead Finder Search Prospect discovery by people and company filters, returning enriched lead profiles. | Tables Primary sync unit; each table maps to an object or table on the other side of the sync. | Lead Finder Search is specific to BetterContact and Tables to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Enrichment Request Batch or single submissions of up to 100 contacts per request for waterfall enrichment. | Views Read-only sources for shaping data before it leaves the database. | Enrichment Request is specific to BetterContact and Views to Scaleway Postgres — each maps to any object or custom field on the other side. |
How changes propagate between BetterContact 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.
BetterContact Scaleway Postgres Sub-second propagation
DetectionBetterContact notifies Stacksync of record changes through webhook events. Job-based delivery — enrichment results arrive by webhook push or polling of the results endpoint.
DeliveryEach detected change is applied to Scaleway Postgres as a row-level write, with types converted between the two schemas.
Scaleway Postgres BetterContact 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.
DeliveryBetterContact does not accept inbound record writes, so this direction carries requests rather than records: BetterContact's output flows back as field updates on the originating Scaleway Postgres records.
Rate-limit considerations
- BetterContact: Batches capped at 100 contacts per enrichment request.
- Scaleway Postgres: Throughput is bounded by instance size and connection limits rather than API quotas.
What ships with BetterContact ⇄ Scaleway Postgres
Connect BetterContact and Scaleway Postgres for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BetterContact–Scaleway Postgres connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever BetterContact 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 BetterContact or Scaleway Postgres record.
Observability
Monitoring
Track your BetterContact ⇄ 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 BetterContact and Scaleway Postgres.
How the BetterContact and Scaleway Postgres connectors work
BetterContact
- Integration surface
- Asynchronous REST API: submit contacts, then receive results via webhook or fetch them from a results endpoint
- Authentication
- API key
- Change detection
- Job-based delivery — enrichment results arrive by webhook push or polling of the results endpoint; there is no persistent record store to watch
- Capabilities
- read · webhooks
- Rate limits
- Batches capped at 100 contacts per enrichment request.
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 BetterContact 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 BetterContact 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.
BetterContact
connected
Scaleway Postgres
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the BetterContact 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 · BetterContact ⇄ 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.
BetterContact Scaleway PostgresCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
BetterContact and Scaleway Postgres integration FAQ
-
Yes. Stacksync provides a managed, real-time integration between BetterContact and Scaleway Postgres — BetterContact is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
-
Change detection on BetterContact: Job-based delivery — enrichment results arrive by webhook push or polling of the results endpoint; there is no persistent record store to watch. 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.
-
On the BetterContact side: Company, Lead Finder Search, Enrichment Request, Enriched Contact, plus custom fields where BetterContact exposes them. On the Scaleway Postgres side: Views, Materialized views, Schemas, Sequences. Stacksync auto-detects both schemas and converts types between the two systems.
-
BetterContact is a read-only source, so this integration runs one-way: Stacksync reads from BetterContact in real time and delivers into Scaleway Postgres. Field mapping and monitoring work the same as for two-way pairs.
-
Common patterns for BetterContact and Scaleway Postgres: React to changes as they happen; One integration pattern for the whole stack; Read BetterContact with a query. Updates in BetterContact arrive as row changes in Scaleway Postgres, so triggers, jobs, and services can respond in near real time.
-
BetterContact: Asynchronous REST API: submit contacts, then receive results via webhook or fetch them from a results endpoint. Authentication: API key. Scaleway Postgres: SQL wire protocol (PostgreSQL). Authentication: Database credentials (username/password over TLS). Stacksync manages authentication, retries, and rate limits on both sides.
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
Every pair below is a real-time, two-way sync. Search all 390 integrations available for BetterContact and Scaleway Postgres.
Popular · 8 of 390
-
BetterContact ⇄ Google Cloud Spanner - BetterContact ⇄ Google Cloud SQL
-
BetterContact ⇄ IBM AS/400 -
BetterContact ⇄ IBM Informix -
Scaleway Postgres ⇄ Atlassian -
Scaleway Postgres ⇄ Braze -
Scaleway Postgres ⇄ ConnectWise -
Scaleway Postgres ⇄ Aviato
No integrations match .
