Two-way sync
Changes in Autopilot or OpenSearch instantly reflect in both systems. No stale data, no manual imports.
Keep Autopilot and OpenSearch in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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. OpenSearch 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 OpenSearch it describes are two halves of the same thing, and they drift the moment one is updated without the other.
Stacksync syncs Index aliases, Index templates, Ingest pipelines, Data streams in OpenSearch with Activities, Contacts, Lists, Custom Fields in Autopilot in real time. Rows created or changed in OpenSearch 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 OpenSearch, 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 OpenSearch 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.
Load your existing rows from OpenSearch into Autopilot to build the index or enrichment set, then let ongoing changes sync automatically instead of re-running the whole job.
Each item in Autopilot carries the key of the row in OpenSearch it came from, so results resolve back to the exact record with nothing orphaned or duplicated.
Rows created or changed in OpenSearch flow into Autopilot as they happen, so embeddings, classifications, and prompts run on the latest records instead of a nightly 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 | OpenSearch objects | How this pairing syncs | |
|---|---|---|---|
| Lists Static contact lists; membership is readable per list and writable by adding or removing contacts. | Index aliases Stable names over rotating indexes, used for zero-downtime reindex during backfills | Lists is specific to Autopilot and Index aliases to OpenSearch — 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. | Index templates Mapping and settings presets applied to new indexes a sync creates | Custom Fields is specific to Autopilot and Index templates to OpenSearch — 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. | Ingest pipelines Server-side processors that transform documents as they are written | Smart Segments is specific to Autopilot and Ingest pipelines to OpenSearch — 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. | Data streams Append-oriented time-series storage for logs and events pushed from source systems | Journeys (Triggers) is specific to Autopilot and Data streams to OpenSearch — 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. | Snapshots Backup artifacts, relevant when reseeding an index from a repository | Activities is specific to Autopilot and Snapshots to OpenSearch — 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. | Indexes The core container; synced records land in indexes with defined mappings | Contacts is specific to Autopilot and Indexes to OpenSearch — 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 written to OpenSearch through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls OpenSearch for changes on an incremental schedule, reading only records changed since the previous pass. No native change feed.
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–OpenSearch connection.
Changes in Autopilot or OpenSearch instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Autopilot or OpenSearch 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 OpenSearch record.
Track your Autopilot ⇄ OpenSearch sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Autopilot and OpenSearch.
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 OpenSearch 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 OpenSearch 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 OpenSearch: authenticate both systems, choose the objects to sync (such as Autopilot's Lists and Custom Fields), 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. OpenSearch: The bulk API accepts many index, update, and delete operations per request, which is how large indexes are kept current. Stacksync's field mapping accounts for these differences between Autopilot and OpenSearch 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 OpenSearch records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Autopilot and OpenSearch connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Autopilot–OpenSearch integration in-house.
Yes — Stacksync ships production-grade connectors for both Autopilot and OpenSearch. 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 OpenSearch: No native change feed; reads rely on queries with scroll or point-in-time polling. 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 397 integrations available for Autopilot and OpenSearch.