Real-time
Two-way sync
Changes in Autopilot or Scaleway Postgres instantly reflect in both systems. No stale data, no manual imports.
AI ⇄ Database
Autopilot to Scaleway Postgres integration — real-time, two-way sync
Keep Autopilot 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 Autopilot and Scaleway Postgres
Sync the records in Scaleway Postgres into Autopilot and land its embeddings, classifications, and generated fields back on the same rows, in real time and without a pipeline to maintain.
AI systems do not hold customers or invoices the way business apps do. What they hold is derived from your data: the vectors and metadata in a vector store, or the classifications, extracted fields, and generated text a model produces over records it was given. Scaleway Postgres is where those source records actually live. The bridge between the two is the row itself, since an item in Autopilot and the record in Scaleway Postgres it describes are two halves of the same thing, and they drift the moment one is updated without the other.
Stacksync syncs Materialized views, Schemas, Sequences, Columns in Scaleway Postgres with Journeys (Triggers), Activities, Contacts, Lists in Autopilot in real time. Rows created or changed in Scaleway Postgres flow into Autopilot so inference and embedding run on current data, and the scores, labels, and generated fields Autopilot produces flow back onto the matching rows in Scaleway Postgres, mapped field by field. A change on either side appears on the other within seconds, with no extraction job or webhook plumbing to keep alive.
Because matching is by a stable identifier, every row in Scaleway Postgres stays tied to its AI-side counterpart in Autopilot. Retrieval, enrichment, and generated content always resolve back to the record they came from, so there are no orphaned vectors and no labels describing a version of a row that no longer exists.
Common use cases
- 01 Upsert Contacts from a CRM or product database into Autopilot so new signups and profile changes flow into email and SMS journeys without manual CSV imports.
- 02 Add contacts to a Journey from a database event or CRM stage change to start automated onboarding or nurture sequences.
- 03 Replicate the application database into a warehouse for analytics without writing custom pipelines
- 04 Back internal tools with the same Postgres instance while Stacksync keeps it consistent with external systems
Common sync patterns
Backfill once, then stay in step
Load your existing rows from Scaleway Postgres into Autopilot to build the index or enrichment set, then let ongoing changes sync automatically instead of re-running the whole job.
One record, one identifier
Each item in Autopilot carries the key of the row in Scaleway Postgres it came from, so results resolve back to the exact record with nothing orphaned or duplicated.
Run the AI on current data
Rows created or changed in Scaleway Postgres flow into Autopilot as they happen, so embeddings, classifications, and prompts run on the latest records instead of a nightly snapshot.
What you can sync between Autopilot 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.
| Autopilot objects | Scaleway Postgres objects | How this pairing syncs | |
|---|---|---|---|
| Contacts Core people records (email, name, custom fields, list and segment membership); upserted two-way as the primary sync object. | Schemas Namespace tables so multiple applications or environments can be synced selectively. | Contacts is specific to Autopilot and Schemas to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Lists Static contact lists; membership is readable per list and writable by adding or removing contacts. | Sequences Generate primary keys; sync tooling must respect them when writing rows. | Lists is specific to Autopilot and Sequences to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Custom Fields User-defined contact properties (string, number, date, boolean); discovered so field keys map cleanly to destination columns. | Columns Postgres-native types, including JSONB and arrays, are mapped to fields in the paired system. | Custom Fields is specific to Autopilot and Columns to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Smart Segments Rule-based dynamic audiences; membership is computed by Autopilot, so it is read-only over the API. | Tables Primary sync unit; each table maps to an object or table on the other side of the sync. | Smart Segments is specific to Autopilot and Tables to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Journeys (Triggers) Automation journeys; a contact can be added to a journey via its trigger endpoint to start automated email or SMS sequences. | Views Read-only sources for shaping data before it leaves the database. | Journeys (Triggers) is specific to Autopilot and Views to Scaleway Postgres — each maps to any object or custom field on the other side. | |
| Activities Per-contact activity and event history (opens, clicks, journey steps); read-only feed used for engagement reporting. | Materialized views Precomputed result sets that can be read on a schedule for downstream syncs. | Activities is specific to Autopilot and Materialized views to Scaleway Postgres — each maps to any object or custom field on the other side. |
How changes propagate between Autopilot 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.
Autopilot Scaleway Postgres Interval-based propagation
DetectionStacksync polls Autopilot for changes on an incremental schedule, reading only records changed since the previous pass. No CDC.
DeliveryEach detected change is applied to Scaleway Postgres as a row-level write, with types converted between the two schemas.
Scaleway Postgres Autopilot 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 Autopilot through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Autopilot: The REST API is capped at 100 requests/minute per account; exceeding it returns HTTP 429. Enterprise plans can request a higher limit. Contact writes accept an array for bulk upsert, and list and segment reads paginate via a bookmark cursor.
- Scaleway Postgres: Throughput is bounded by instance size and connection limits rather than API quotas.
What ships with Autopilot ⇄ Scaleway Postgres
Connect Autopilot and Scaleway Postgres for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Autopilot–Scaleway Postgres connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Autopilot 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 Autopilot or Scaleway Postgres record.
Observability
Monitoring
Track your Autopilot ⇄ 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 Autopilot and Scaleway Postgres.
How the Autopilot and Scaleway Postgres connectors work
Autopilot
- Integration surface
- REST API (Autopilot v1); Autopilot rebranded to Ortto in 2021 and the newer Ortto API co-exists with the legacy Autopilot endpoints
- Authentication
- Per-account API key sent in the autopilotapikey request header (generated in account settings); requests use Content-Type application/json against https://api2.autopilothq.com/v1/
- Change detection
- No CDC; incremental sync polls the /contacts endpoint with bookmark cursor pagination and updated timestamps. Journey webhook actions can push specific contact events, but there is no general change-subscription webhook, so polling is the reliable path.
- Capabilities
- read · write
- Rate limits
- The REST API is capped at 100 requests/minute per account; exceeding it returns HTTP 429. Enterprise plans can request a higher limit. Contact writes accept an array for bulk upsert, and list and segment reads paginate via a bookmark cursor.
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 Autopilot 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 Autopilot 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.
Autopilot
connected
Scaleway Postgres
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Autopilot 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 · Autopilot ⇄ 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.
Autopilot Scaleway PostgresCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Autopilot and Scaleway Postgres integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Autopilot and Scaleway Postgres: authenticate both systems, choose the objects to sync (such as Autopilot's Contacts and Lists), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Common patterns for Autopilot and Scaleway Postgres: Backfill once, then stay in step; One record, one identifier; Run the AI on current data. Load your existing rows from Scaleway Postgres into Autopilot to build the index or enrichment set, then let ongoing changes sync automatically instead of re-running the whole job.
-
Autopilot: REST API (Autopilot v1); Autopilot rebranded to Ortto in 2021 and the newer Ortto API co-exists with the legacy Autopilot endpoints. Authentication: Per-account API key sent in the autopilotapikey request header (generated in account settings); requests use Content-Type application/json against https://api2.autopilothq.com/v1/. Scaleway Postgres: SQL wire protocol (PostgreSQL). Authentication: Database credentials (username/password over TLS). Stacksync manages authentication, retries, and rate limits on both sides.
-
Autopilot: The REST API is rate-limited to 100 requests/minute per account and returns HTTP 429 when exceeded; enterprise plans can request a higher ceiling. Scaleway Postgres: Postgres-native types such as JSONB and arrays are available, and a sync layer must map them onto flat SaaS field types. Stacksync's field mapping accounts for these differences between Autopilot and Scaleway Postgres without custom code.
-
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 Autopilot and Scaleway Postgres records are not retained after a sync operation.
-
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Autopilot and Scaleway Postgres connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Autopilot–Scaleway Postgres integration in-house.
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
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 416 integrations available for Autopilot and Scaleway Postgres.
Popular · 7 of 416
-
Autopilot ⇄ Dynamo DB -
Autopilot ⇄ IBM Db2 -
Autopilot ⇄ Firebase -
Autopilot ⇄ SingleStore -
Scaleway Postgres ⇄ Openai -
Scaleway Postgres ⇄ Azure OpenAI -
Scaleway Postgres ⇄ Pinecone
No integrations match .
