Two-way sync
Changes in Autopilot or Greenplum instantly reflect in both systems. No stale data, no manual imports.
Keep Autopilot and Greenplum in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Greenplum 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 Contacts, Lists, Custom Fields, Smart Segments in Autopilot with External tables, Rows, Databases, Schemas in Greenplum field by field, in real time, and in both directions. Rows added or changed in Greenplum flow into Autopilot as they happen, and the Contacts, Lists, Custom Fields, Smart Segments that Autopilot generates land back in Greenplum 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 Greenplum, they join against billing, product, and usage tables already there, so you can report on quality, cost, and coverage without moving anything by hand.
Combine Autopilot's output with the tables already in Greenplum to report on model quality, cost, and coverage without exporting anything to a spreadsheet.
A continuously synced copy in Greenplum preserves every generated result, so outputs stay auditable even as they are overwritten or expire inside Autopilot.
Rows added or changed in Greenplum flow into Autopilot within seconds, so embeddings, classifications, and enrichments are computed on current data rather than a nightly extract.
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 | Greenplum objects | How this pairing syncs | |
|---|---|---|---|
| Activities Per-contact activity and event history (opens, clicks, journey steps); read-only feed used for engagement reporting. | Schemas Namespace tables and control which objects a sync can see. | Activities is specific to Autopilot and Schemas to Greenplum — 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. | Tables Heap or append-optimized tables mapped directly to sync targets. | Contacts is specific to Autopilot and Tables to Greenplum — 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. | Partitions Large tables are commonly partitioned by date, which shapes incremental reads. | Lists is specific to Autopilot and Partitions to Greenplum — 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. | Views Read-only projections used to shape data before syncing it out. | Custom Fields is specific to Autopilot and Views to Greenplum — 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 Reference external files for bulk load paths alongside row-level syncs. | Smart Segments is specific to Autopilot and External tables to Greenplum — 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. | Rows Read and written by key; distribution keys determine where rows live. | Journeys (Triggers) is specific to Autopilot and Rows to Greenplum — 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 Greenplum as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Greenplum for changes on an incremental schedule, reading only records changed since the previous pass. Polling with timestamp or key-based cursors.
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–Greenplum connection.
Changes in Autopilot or Greenplum instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Autopilot or Greenplum 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 Greenplum record.
Track your Autopilot ⇄ Greenplum sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Autopilot and Greenplum.
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 Greenplum 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 Greenplum 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 Greenplum: authenticate both systems, choose the objects to sync (such as Autopilot's Activities and Contacts), map fields visually, and changes propagate both ways in milliseconds — no code required.
Autopilot: There is no change-data-capture: incremental sync polls /contacts with bookmark cursor pagination on updated timestamps, and bulk writes are done by passing an array to the contact upsert endpoint. Greenplum: There is no logical-decoding-based CDC surface, so incremental syncs rely on timestamp or key-based polling. Stacksync's field mapping accounts for these differences between Autopilot and Greenplum 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 Greenplum records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Autopilot and Greenplum connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Autopilot–Greenplum integration in-house.
Yes — Stacksync ships production-grade connectors for both Autopilot and Greenplum. 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 Greenplum: Polling with timestamp or key-based cursors; Greenplum does not expose logical-decoding CDC. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 411 integrations available for Autopilot and Greenplum.