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AI ⇄ Data warehouse

Autopilot to Firebolt integration — real-time, two-way sync

Keep Autopilot and Firebolt 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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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Autopilot and Firebolt

Send the records Firebolt holds into Autopilot for embedding, classification, and scoring, and land what Autopilot produces back in Firebolt as new columns, one two-way connection instead of a batch job.

Firebolt holds the raw records the business runs on; Autopilot turns those records into embeddings, scores, labels, and summaries. The two meet wherever a warehouse row needs to be enriched by a model and the result needs somewhere durable to live. Most teams stitch that meeting together with export scripts and a queue, then spend their time keeping the glue alive.

Stacksync syncs Custom Fields, Smart Segments, Journeys (Triggers), Activities in Autopilot with Views, Aggregating indexes, Engines, Databases in Firebolt field by field, in real time, and in both directions. Rows added or changed in Firebolt flow into Autopilot as they happen, and the Custom Fields, Smart Segments, Journeys (Triggers), Activities that Autopilot generates land back in Firebolt as columns or tables, with field-level mapping and conflict rules in place of a custom pipeline.

The payoff is that model output stops living in a separate place from the data it describes. Once results sit in Firebolt, they join against billing, product, and usage tables already there, so you can report on quality, cost, and coverage without moving anything by hand.

Common use cases

  • 01 Add contacts to a Journey from a database event or CRM stage change to start automated onboarding or nurture sequences.
  • 02 Mirror List and Smart Segment membership into a warehouse to power attribution and audience analytics alongside other sources.
  • 03 Sync CRM objects into Firebolt so customer-facing dashboards reflect recent pipeline changes.
  • 04 Keep dimension tables aligned with source systems while high-volume event data loads through separate batch pipelines.

Common sync patterns

Keep an index in step with the source

As records change in Firebolt, matching Custom Fields, Smart Segments, Journeys (Triggers), Activities in Autopilot are inserted, updated, or removed, so what Autopilot serves reflects the warehouse instead of a stale snapshot.

One place to analyze AI results

Combine Autopilot's output with the tables already in Firebolt to report on model quality, cost, and coverage without exporting anything to a spreadsheet.

History that outlives a run

A continuously synced copy in Firebolt preserves every generated result, so outputs stay auditable even as they are overwritten or expire inside Autopilot.

What you can sync between Autopilot and Firebolt

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 Firebolt objects How this pairing syncs
Custom Fields User-defined contact properties (string, number, date, boolean); discovered so field keys map cleanly to destination columns. Tables Managed columnar tables written with SQL; the main sync destination. Custom Fields is specific to Autopilot and Tables to Firebolt — 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. External tables References to files in object storage used to stage bulk loads. Smart Segments is specific to Autopilot and External tables to Firebolt — 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 Curated query surfaces commonly used as sources for reverse ETL. Journeys (Triggers) is specific to Autopilot and Views to Firebolt — 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. Aggregating indexes Precomputed rollups maintained at write time; incremental loads update them automatically. Activities is specific to Autopilot and Aggregating indexes to Firebolt — each maps to any object or custom field on the other side.
Contacts Core people records (email, name, custom fields, list and segment membership); upserted two-way as the primary sync object. Engines Compute resources that must be running for a sync to read or write. Contacts is specific to Autopilot and Engines to Firebolt — 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. Databases Logical containers holding the tables a sync targets. Lists is specific to Autopilot and Databases to Firebolt — each maps to any object or custom field on the other side.

How changes propagate between Autopilot and Firebolt

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 Firebolt 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 Firebolt as a row-level write, with types converted between the two schemas.

Firebolt Autopilot Interval-based propagation

DetectionStacksync polls Firebolt for changes on an incremental schedule, reading only records changed since the previous pass. Polling.

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.
  • Firebolt: No fixed request quota; throughput depends on the engine size attached to the workload.
What ships with Autopilot ⇄ Firebolt

Connect Autopilot and Firebolt for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in Autopilot or Firebolt instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Autopilot or Firebolt 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 Firebolt record.

Observability

Monitoring

Track your Autopilot ⇄ Firebolt 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 Firebolt.

How the Autopilot and Firebolt 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.
Autopilot setup guide

Firebolt

Integration surface
SQL over a REST API, with JDBC, Python, and Node.js SDKs
Authentication
Service account credentials (client ID and secret) exchanged for OAuth 2.0 tokens
Change detection
Polling; Firebolt is an analytics destination and does not expose a change feed
Capabilities
read · write
Rate limits
No fixed request quota; throughput depends on the engine size attached to the workload
How it works

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

    Choose tables

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

Autopilot and Firebolt 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.

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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 414 integrations available for Autopilot and Firebolt.

Popular · 7 of 414
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