Real-time
Two-way sync
Changes in Autopilot or Dremio instantly reflect in both systems. No stale data, no manual imports.
AI ⇄ Data warehouse
Autopilot to Dremio integration — real-time, two-way sync
Keep Autopilot and Dremio 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 Dremio
Send the records Dremio holds into Autopilot for embedding, classification, and scoring, and land what Autopilot produces back in Dremio as new columns, one two-way connection instead of a batch job.
Dremio 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 Lists, Custom Fields, Smart Segments, Journeys (Triggers) in Autopilot with Reflections, Jobs, Sources, Physical datasets in Dremio field by field, in real time, and in both directions. Rows added or changed in Dremio flow into Autopilot as they happen, and the Lists, Custom Fields, Smart Segments, Journeys (Triggers) that Autopilot generates land back in Dremio 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 Dremio, 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 curated Dremio views into an operational Postgres so applications get low-latency access to lakehouse data.
- 04 Reverse-ETL aggregates computed over lake data out to CRMs and finance tools for business users.
Common sync patterns
One place to analyze AI results
Combine Autopilot's output with the tables already in Dremio to report on model quality, cost, and coverage without exporting anything to a spreadsheet.
History that outlives a run
A continuously synced copy in Dremio preserves every generated result, so outputs stay auditable even as they are overwritten or expire inside Autopilot.
Feed live warehouse records to Autopilot
Rows added or changed in Dremio flow into Autopilot within seconds, so embeddings, classifications, and enrichments are computed on current data rather than a nightly extract.
What you can sync between Autopilot and Dremio
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 | Dremio objects | How this pairing syncs | |
|---|---|---|---|
| Smart Segments Rule-based dynamic audiences; membership is computed by Autopilot, so it is read-only over the API. | Jobs Query execution records useful for monitoring sync workloads. | Smart Segments is specific to Autopilot and Jobs to Dremio — 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. | Sources Connected storage and database systems (S3, ADLS, relational databases) Dremio queries in place. | Journeys (Triggers) is specific to Autopilot and Sources to Dremio — 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. | Physical datasets Tables and files promoted from sources; the raw data a sync ultimately reads. | Activities is specific to Autopilot and Physical datasets to Dremio — 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. | Virtual datasets (views) SQL views layering semantics over physical data; the preferred sync target for curated extracts. | Contacts is specific to Autopilot and Virtual datasets (views) to Dremio — 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. | Apache Iceberg tables Lakehouse tables supporting DML and snapshot metadata usable for incremental reads. | Lists is specific to Autopilot and Apache Iceberg tables to Dremio — 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. | Spaces and folders Namespaces that organize virtual datasets and govern access. | Custom Fields is specific to Autopilot and Spaces and folders to Dremio — each maps to any object or custom field on the other side. |
How changes propagate between Autopilot and Dremio
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 Dremio 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 Dremio as a row-level write, with types converted between the two schemas.
Dremio Autopilot Interval-based propagation
DetectionStacksync polls Dremio for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL.
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.
- Dremio: Bounded by engine capacity and workload management rather than API rate limits.
What ships with Autopilot ⇄ Dremio
Connect Autopilot and Dremio for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Autopilot–Dremio connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Autopilot or Dremio 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 Dremio record.
Observability
Monitoring
Track your Autopilot ⇄ Dremio 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 Dremio.
How the Autopilot and Dremio 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.
Dremio
- Integration surface
- Arrow Flight SQL, JDBC/ODBC, and a REST API
- Authentication
- Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud
- Change detection
- Polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed
- Capabilities
- read · write
- Rate limits
- Bounded by engine capacity and workload management rather than API rate limits
How it works
How to connect Autopilot to Dremio — 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 Dremio 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
Dremio
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Autopilot and Dremio 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 ⇄ DremioCustomers 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 DremioCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Autopilot and Dremio integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Autopilot and Dremio: authenticate both systems, choose the objects to sync (such as Autopilot's Smart Segments and Journeys (Triggers)), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Autopilot and Dremio connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Autopilot–Dremio integration in-house.
-
Yes — Stacksync ships production-grade connectors for both Autopilot and Dremio. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
-
Change detection on Autopilot: 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. On Dremio: Polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the Autopilot side: Lists, Custom Fields, Smart Segments, Journeys (Triggers), plus custom fields where Autopilot exposes them. On the Dremio side: Reflections, Jobs, Sources, Physical datasets. Stacksync auto-detects both schemas and converts types between the two systems.
-
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.
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 407 integrations available for Autopilot and Dremio.
Popular · 6 of 407
-
Autopilot ⇄ Apache Druid -
Autopilot ⇄ Apache Hive -
Autopilot ⇄ Apache Impala -
Dremio ⇄ Openai -
Dremio ⇄ Azure OpenAI -
Dremio ⇄ Pinecone
No integrations match .
