Two-way sync
Changes in Autopilot or Rockset instantly reflect in both systems. No stale data, no manual imports.
Keep Autopilot and Rockset in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Rockset 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 Collections, Documents, Workspaces, Query Lambdas in Rockset field by field, in real time, and in both directions. Rows added or changed in Rockset flow into Autopilot as they happen, and the Custom Fields, Smart Segments, Journeys (Triggers), Activities that Autopilot generates land back in Rockset 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 Rockset, they join against billing, product, and usage tables already there, so you can report on quality, cost, and coverage without moving anything by hand.
Rows added or changed in Rockset flow into Autopilot within seconds, so embeddings, classifications, and enrichments are computed on current data rather than a nightly extract.
Scores, labels, embeddings, or summaries produced in Autopilot land in Rockset as columns or tables, queryable and joinable with the rest of the business data.
As records change in Rockset, 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.
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 | Rockset objects | How this pairing syncs | |
|---|---|---|---|
| Smart Segments Rule-based dynamic audiences; membership is computed by Autopilot, so it is read-only over the API. | Workspaces Namespaces that group collections and query lambdas per team or environment. | Smart Segments is specific to Autopilot and Workspaces to Rockset — 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. | Query Lambdas Named, parameterized SQL queries invoked over REST to read synced data. | Journeys (Triggers) is specific to Autopilot and Query Lambdas to Rockset — 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. | Aliases Stable names that point at collections, used to swap datasets without changing queries. | Activities is specific to Autopilot and Aliases to Rockset — 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. | Integrations Managed source connections (databases, streams, object storage) feeding collections. | Contacts is specific to Autopilot and Integrations to Rockset — 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. | Virtual Instances Isolated compute units that separate ingest from query workloads. | Lists is specific to Autopilot and Virtual Instances to Rockset — 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. | Collections Schemaless document containers that ingested and synced records land in. | Custom Fields is specific to Autopilot and Collections to Rockset — each maps to any object or custom field on the other side. |
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.
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 Rockset as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Rockset for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL queries on timestamp fields.
DeliveryEach detected change is written to Autopilot through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Autopilot–Rockset connection.
Changes in Autopilot or Rockset instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Autopilot or Rockset data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Autopilot or Rockset record.
Track your Autopilot ⇄ Rockset sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Autopilot and Rockset.
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.
Authenticate Autopilot and Rockset with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Autopilot and Rockset 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Autopilot and Rockset: 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 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 Rockset records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Autopilot and Rockset connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Autopilot–Rockset integration in-house.
Yes — Stacksync ships production-grade connectors for both Autopilot and Rockset. 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 Rockset: Polling via SQL queries on timestamp fields; ingestion-side change capture is handled by Rockset's managed source connectors. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Autopilot side: Custom Fields, Smart Segments, Journeys (Triggers), Activities, plus custom fields where Autopilot exposes them. On the Rockset side: Collections, Documents, Workspaces, Query Lambdas. Stacksync auto-detects both schemas and converts types between the two systems.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 475 integrations available for Autopilot and Rockset.