Real-time
Two-way sync
Changes in Elasticsearch or Seismic instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ CRM
Elasticsearch to Seismic integration — real-time, two-way sync
Keep Elasticsearch and Seismic in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Elasticsearch and Seismic
Treat Seismic like part of your database: its records live in Elasticsearch as real tables, and writes in either place sync to the other in seconds.
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 Elasticsearch, where it can be queried and joined like everything else.
Stacksync mirrors Users, User Groups, Teamsites, LiveSend Links from Seismic into Aliases, Data streams, Ingest pipelines, Index templates in Elasticsearch with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Seismic 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.
Common use cases
- 01 Extract content-interaction and LiveSend engagement from the Reporting API v2 into a warehouse to tie asset views to CRM Opportunities.
- 02 Sync Library Content metadata and Custom Property Schemas with a DAM or PIM so one taxonomy governs assets across systems.
- 03 Mirror support tickets into an index used for full-text search and agent-assist tooling.
- 04 Feed enriched customer records into an index used for vector or hybrid search in AI applications.
Common sync patterns
Trigger workflows from CRM changes
Field and stage updates in Seismic arrive as row changes in Elasticsearch, ready to drive jobs and notifications.
Query the CRM like a database
Accounts, contacts, and custom objects from Seismic become tables in Elasticsearch you can join with application data directly.
Product events onto CRM records
Signup, usage, or lifecycle changes written to Elasticsearch sync onto the matching records in Seismic, giving go-to-market teams live product context.
What you can sync between Elasticsearch and Seismic
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 | Seismic objects | How this pairing syncs | |
|---|---|---|---|
| Indices Target containers for synced records; each holds a table-like collection of JSON documents. | User Groups Group definitions and membership that govern content access; synced from an IdP or HRIS to keep permissions current. | Indices is specific to Elasticsearch and User Groups to Seismic — 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. | Teamsites Tenant-scoped workspace partitions organizing Library content, permissions, and config; scoped by teamSiteId on most content calls. | Documents is specific to Elasticsearch and Teamsites to Seismic — 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. | LiveSend Links Trackable content-share links created via the engagement API; their open and view engagement is read back through Reporting. | Index mappings is specific to Elasticsearch and LiveSend Links to Seismic — each maps to any object or custom field on the other side. | |
| Aliases Stable read/write names that let a sync cut over between index versions without downtime. | Digital Sales Rooms Buyer-facing microsites (DSRs); lifecycle and content-change events surface via webhooks, currently marked Early Access. | Aliases is specific to Elasticsearch and Digital Sales Rooms to Seismic — each maps to any object or custom field on the other side. | |
| Data streams Append-only targets for time-series or event data pushed from source systems. | Reporting Activities Content-interaction, engagement, and usage analytics extracted read-only through the ETL-oriented Reporting API v2 for a warehouse. | Data streams is specific to Elasticsearch and Reporting Activities to Seismic — 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. | Library Content Documents, decks, and assets stored in teamsites; created, moved, and retrieved via the Content Management API, each with a contentId. | Ingest pipelines is specific to Elasticsearch and Library Content to Seismic — each maps to any object or custom field on the other side. |
How changes propagate between Elasticsearch and Seismic
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.
Elasticsearch Seismic Interval-based propagation
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 Seismic through its API, with automatic retries and rate-limit backoff.
Seismic Elasticsearch Sub-second propagation
DetectionSeismic notifies Stacksync of record changes through webhook events. Webhooks for content, version, user, group, workflow, DSR, and LiveSend events.
DeliveryEach detected change is written to Elasticsearch through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Elasticsearch: No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity.
- Seismic: Tiered per-endpoint limits over a rolling 60-second window; exceeding returns HTTP 429, with X-Seismic-Remaining-Calls and X-Seismic-Total-Calls headers.
What ships with Elasticsearch ⇄ Seismic
Connect Elasticsearch and Seismic for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Elasticsearch–Seismic connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Elasticsearch or Seismic data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Elasticsearch or Seismic record.
Observability
Monitoring
Track your Elasticsearch ⇄ Seismic sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Elasticsearch and Seismic.
How the Elasticsearch and Seismic connectors work
Elasticsearch
- Integration surface
- REST API (JSON over HTTP)
- Authentication
- API keys or basic authentication; Elastic Cloud also issues service account tokens
- Change detection
- Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks
- Capabilities
- read · write
- Rate limits
- No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity
Seismic
- Integration surface
- REST Integration APIs and Reporting API v2
- Authentication
- OAuth 2.0 / OpenID Connect; Bearer token in the Authorization header, via Authorization Code (user context) or client-credentials app-only flows
- Change detection
- Webhooks for content, version, user, group, workflow, DSR, and LiveSend events; the Reporting API v2 is polled for batch historical extracts (ETL-oriented, not high-frequency)
- Capabilities
- read · write · webhooks
- Rate limits
- Tiered per-endpoint limits over a rolling 60-second window; exceeding returns HTTP 429, with X-Seismic-Remaining-Calls and X-Seismic-Total-Calls headers
How it works
How to connect Elasticsearch to Seismic — three steps, no code
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.
- 01
Connect your apps
Authenticate Elasticsearch and Seismic with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Elasticsearch
connected
Seismic
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Elasticsearch and Seismic 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.
objects · Elasticsearch ⇄ SeismicCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Elasticsearch SeismicCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Elasticsearch and Seismic integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Elasticsearch and Seismic: authenticate both systems, choose the objects to sync (such as Elasticsearch's Indices and Documents), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Elasticsearch: REST API (JSON over HTTP). Authentication: API keys or basic authentication; Elastic Cloud also issues service account tokens. Seismic: REST Integration APIs and Reporting API v2. Authentication: OAuth 2.0 / OpenID Connect; Bearer token in the Authorization header, via Authorization Code (user context) or client-credentials app-only flows. Stacksync manages authentication, retries, and rate limits on both sides.
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Seismic: Rate limits are enforced per tier over a rolling 60-second window; exceeding them returns HTTP 429 with an indication of when to retry. Elasticsearch: Writes are addressed by document _id, so upserts map directly onto the index API, and the _bulk endpoint batches many operations in a single request. Stacksync's field mapping accounts for these differences between Elasticsearch and Seismic without custom code.
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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 Seismic records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Elasticsearch and Seismic connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Elasticsearch–Seismic integration in-house.
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Yes — Stacksync ships production-grade connectors for both Elasticsearch and Seismic. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
SECURITY
Security teams trust Stacksync
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
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