Two-way sync
Changes in Elasticsearch or Gainsight instantly reflect in both systems. No stale data, no manual imports.
Keep Elasticsearch and Gainsight in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Engineers integrate with tools like Gainsight through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Elasticsearch.
Stacksync mirrors Relationship, CTA (Call to Action), Scorecard Fact, Timeline Activity from Gainsight into Aliases, Data streams, Ingest pipelines, Index templates in Elasticsearch and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Gainsight, so the tool and the database never disagree.
Updates in Gainsight arrive as row changes in Elasticsearch, so triggers, jobs, and services can respond in near real time.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Records from Gainsight are ordinary rows in Elasticsearch; join them, index them, and use them in application logic without touching the vendor API.
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.
| Elasticsearch objects | Gainsight objects | How this pairing syncs | |
|---|---|---|---|
| Data streams Append-only targets for time-series or event data pushed from source systems. | Scorecard Fact Health scores and measures per Company or Relationship; usage metrics from a warehouse are written in so scores reflect live telemetry. | Data streams is specific to Elasticsearch and Scorecard Fact to Gainsight — each maps to any object or custom field on the other side. | |
| Ingest pipelines Server-side transforms applied to documents as a sync writes them. | Timeline Activity Logged calls, emails, and notes; usually read out into a reporting database for QBR and churn analysis. | Ingest pipelines is specific to Elasticsearch and Timeline Activity to Gainsight — each maps to any object or custom field on the other side. | |
| Index templates Reusable settings and mappings applied automatically to new indices a sync creates. | Success Plan Account objectives with associated tasks; read out for reporting or synced with project tools tracking onboarding and adoption. | Index templates is specific to Elasticsearch and Success Plan to Gainsight — each maps to any object or custom field on the other side. | |
| Indices Target containers for synced records; each holds a table-like collection of JSON documents. | Task and Playbook Cockpit tasks generated from CTAs and playbooks; synced with Jira or Asana so execution happens in the team's own tool. | Indices is specific to Elasticsearch and Task and Playbook to Gainsight — each maps to any object or custom field on the other side. | |
| Documents The unit of sync; JSON records created, updated, and deleted by _id. | Custom Objects Org-specific MDA tables with the __gc suffix; discoverable via the Describe API so field mappings can be generated automatically. | Documents is specific to Elasticsearch and Custom Objects to Gainsight — each maps to any object or custom field on the other side. | |
| Index mappings Field type definitions that determine how synced fields are indexed and queried. | Company Customer/account master in Gainsight CS; two-way synced with CRM and warehouse customer tables to keep ARR, owner, and renewal fields aligned. | Index mappings is specific to Elasticsearch and Company to Gainsight — 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 Elasticsearch for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or sequence fields.
DeliveryEach detected change is written to Gainsight through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls Gainsight for changes on an incremental schedule, reading only records changed since the previous pass. Polling on the ModifiedDate (GS Modified Date) system field, which is filterable and sortable on every object.
DeliveryEach detected change is written to Elasticsearch through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Elasticsearch–Gainsight connection.
Changes in Elasticsearch or Gainsight instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Elasticsearch or Gainsight data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Elasticsearch or Gainsight record.
Track your Elasticsearch ⇄ Gainsight sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Elasticsearch and Gainsight.
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 Elasticsearch and Gainsight 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 Elasticsearch and Gainsight 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 Elasticsearch and Gainsight: authenticate both systems, choose the objects to sync (such as Elasticsearch's Data streams and Ingest pipelines), map fields visually, and changes propagate both ways in milliseconds — no code required.
Gainsight: Person records associate to Company via the Company Person object and to Relationship via Relationship Person; those junctions must be maintained for contacts to resolve correctly. Elasticsearch: A field's mapping is fixed once indexed; changing a field type requires reindexing into a new index, typically swapped in behind an alias. Stacksync's field mapping accounts for these differences between Elasticsearch and Gainsight 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 Elasticsearch and Gainsight records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Elasticsearch and Gainsight connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Elasticsearch–Gainsight integration in-house.
Yes — Stacksync ships production-grade connectors for both Elasticsearch and Gainsight. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Elasticsearch: Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks. On Gainsight: Polling on the ModifiedDate (GS Modified Date) system field, which is filterable and sortable on every object; Rules Engine Real-Time Rules can optionally push specific object events (e.g., a Company stage change) to an external endpoint. 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 525 integrations available for Elasticsearch and Gainsight.