Two-way sync
Changes in OpenSearch or Vitally instantly reflect in both systems. No stale data, no manual imports.
Keep OpenSearch and Vitally in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in OpenSearch, where it can be queried and joined like everything else.
Stacksync mirrors Custom Trait, Account, User, Organization from Vitally into Data streams, Snapshots, Indexes, Documents in OpenSearch with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Vitally with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.
Signup, usage, or lifecycle changes written to OpenSearch sync onto the matching records in Vitally, giving go-to-market teams live product context.
Back-office apps read and write the synced tables; Stacksync handles the Vitally API, limits, and retries.
Field and stage updates in Vitally arrive as row changes in OpenSearch, ready to drive jobs and notifications.
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.
| OpenSearch objects | Vitally objects | How this pairing syncs | |
|---|---|---|---|
| Ingest pipelines Server-side processors that transform documents as they are written | Account Core customer account records with health scores and lifecycle traits; created, updated, retrieved, and listed via the REST API. | Ingest pipelines is specific to OpenSearch and Account to Vitally — each maps to any object or custom field on the other side. | |
| Data streams Append-oriented time-series storage for logs and events pushed from source systems | User End users tied to accounts, including activity and custom traits. | Data streams is specific to OpenSearch and User to Vitally — each maps to any object or custom field on the other side. | |
| Snapshots Backup artifacts, relevant when reseeding an index from a repository | Organization Parent organizations for hierarchical B2B account structures. | Snapshots is specific to OpenSearch and Organization to Vitally — each maps to any object or custom field on the other side. | |
| Indexes The core container; synced records land in indexes with defined mappings | Task CS tasks and follow-ups, readable and writable for workflow sync. | Indexes is specific to OpenSearch and Task to Vitally — each maps to any object or custom field on the other side. | |
| Documents JSON records written via the index and bulk APIs and read via search queries | Note Account and user notes captured by success teams. | Documents is specific to OpenSearch and Note to Vitally — each maps to any object or custom field on the other side. | |
| Index aliases Stable names over rotating indexes, used for zero-downtime reindex during backfills | Conversation Customer conversations logged in Vitally; activity objects include parent object details in the payload. | Index aliases is specific to OpenSearch and Conversation to Vitally — 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 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 Vitally through its API, with automatic retries and rate-limit backoff.
DetectionVitally notifies Stacksync of record changes through webhook events. Incremental polling on updatedAt cursors.
DeliveryEach detected change is written to OpenSearch through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every OpenSearch–Vitally connection.
Changes in OpenSearch or Vitally instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever OpenSearch or Vitally data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single OpenSearch or Vitally record.
Track your OpenSearch ⇄ Vitally sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between OpenSearch and Vitally.
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 OpenSearch and Vitally 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 OpenSearch and Vitally 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 OpenSearch and Vitally: authenticate both systems, choose the objects to sync (such as OpenSearch's Ingest pipelines and Data streams), 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 OpenSearch and Vitally connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom OpenSearch–Vitally integration in-house.
Yes — Stacksync ships production-grade connectors for both OpenSearch and Vitally. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on OpenSearch: No native change feed; reads rely on queries with scroll or point-in-time polling. On Vitally: Incremental polling on updatedAt cursors; playbook-triggered webhooks can push events for near real-time updates. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Vitally side: Custom Trait, Account, User, Organization, plus custom fields where Vitally exposes them. On the OpenSearch side: Data streams, Snapshots, Indexes, Documents. 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.
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 390 integrations available for OpenSearch and Vitally.