Real-time
Two-way sync
Changes in Customer.io or Elasticsearch instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Database
Customer.io to Elasticsearch integration — real-time, two-way sync
Keep Customer.io and Elasticsearch 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
Case study
Migrated from Mulesoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Customer.io and Elasticsearch
Mirror Customer.io's data into Elasticsearch so your own code can read and write it like any other table, with changes flowing both ways in seconds.
Engineers integrate with tools like Customer.io 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 Campaigns, Broadcasts, Deliveries / Messages, Newsletters from Customer.io into Ingest pipelines, Index templates, Indices, Documents 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 Customer.io, so the tool and the database never disagree.
Common use cases
- Keep unsubscribe and subscription-preference state consistent between Customer.io and the CRM to avoid compliance gaps.
- Sync account-level objects and their person relationships for B2B messaging keyed to company attributes.
- Push product catalog data from an ERP or commerce database into Elasticsearch for storefront search.
- Mirror support tickets into an index used for full-text search and agent-assist tooling.
Read Customer.io with a query
Records from Customer.io are ordinary rows in Elasticsearch; join them, index them, and use them in application logic without touching the vendor API.
Automate Customer.io from your codebase
Write to the synced tables in Elasticsearch and Stacksync propagates the change into Customer.io, replacing custom integration code.
React to changes as they happen
Updates in Customer.io arrive as row changes in Elasticsearch, so triggers, jobs, and services can respond in near real time.
What you can sync between Customer.io and Elasticsearch
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.
| Customer.io objects | Elasticsearch objects | |
|---|---|---|
| Campaigns Automated workflows whose membership and metrics can be read via the App API. | Ingest pipelines Server-side transforms applied to documents as a sync writes them. | |
| Broadcasts One-off sends to segments or audiences, triggerable via API. | Index templates Reusable settings and mappings applied automatically to new indices a sync creates. | |
| Deliveries / Messages Per-recipient message records whose lifecycle events flow out through reporting webhooks. | Indices Target containers for synced records; each holds a table-like collection of JSON documents. | |
| Newsletters Recurring email sends with performance metrics available for reporting syncs. | Documents The unit of sync; JSON records created, updated, and deleted by _id. | |
| People Profiles with attributes, matched on identifiers like id or email; the main write target of data syncs. | Index mappings Field type definitions that determine how synced fields are indexed and queried. | |
| Objects Non-person entities such as accounts or companies, related to people for account-level messaging. | Aliases Stable read/write names that let a sync cut over between index versions without downtime. |
What ships with Customer.io ⇄ Elasticsearch
Connect Customer.io and Elasticsearch for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Customer.io–Elasticsearch connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Customer.io or Elasticsearch 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 Customer.io or Elasticsearch record.
Observability
Monitoring
Track your Customer.io ⇄ Elasticsearch sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Customer.io and Elasticsearch.
How the Customer.io and Elasticsearch connectors work
Customer.io
- Integration surface
- REST APIs split by purpose: Track API for data ingestion, App API for campaigns, people lookups, and messages
- Authentication
- Basic auth with site ID and API key for the Track API; bearer token for the App API
- Change detection
- Reporting webhooks push message and delivery events; person attribute changes are not streamed and require source-side detection
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to per-API rate limits documented by Customer.io
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
How it works
How to connect Customer.io to Elasticsearch — 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 Customer.io and Elasticsearch with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Customer.io
connected
Elasticsearch
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Customer.io and Elasticsearch 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 · Customer.io ⇄ ElasticsearchCustomers 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.
Customer.io ElasticsearchCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Customer.io and Elasticsearch integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Customer.io and Elasticsearch: authenticate both systems, choose the objects to sync (such as Customer.io's Campaigns and Broadcasts), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Customer.io and Elasticsearch connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Customer.io–Elasticsearch integration in-house.
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Yes — Stacksync ships production-grade connectors for both Customer.io and Elasticsearch. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Customer.io: Reporting webhooks push message and delivery events; person attribute changes are not streamed and require source-side detection. On Elasticsearch: Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Customer.io side: Campaigns, Broadcasts, Deliveries / Messages, Newsletters, plus custom fields where Customer.io exposes them. On the Elasticsearch side: Ingest pipelines, Index templates, Indices, Documents. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
SECURITY
Security teams love 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
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Customer.io and Elasticsearch.
Popular · 8 of 386
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Customer.io ⇄ SingleStore -
Customer.io ⇄ Amazon Aurora -
Customer.io ⇄ Amazon Lightsail -
Customer.io ⇄ Apache Cassandra -
Elasticsearch ⇄ Klaviyo -
Elasticsearch ⇄ Lemlist -
Elasticsearch ⇄ Lusha -
Elasticsearch ⇄ Microsoft 365
No integrations match .
