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Database ⇄ Business productivity

Elasticsearch to Full Enrich integration — real-time, two-way sync

Keep Elasticsearch and Full Enrich 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 Full Enrich

Mirror Full Enrich'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 Full Enrich 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 Phone numbers, Credits, Enrichment requests, Contacts from Full Enrich into Index templates, Indices, Documents, Index mappings 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 Full Enrich, so the tool and the database never disagree.

Common use cases

  • Route enrichment completions via webhook into a database that keeps contactability status current.
  • Enrich new CRM contacts with verified emails and mobile numbers as they are created.
  • 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.

React to changes as they happen

Updates in Full Enrich arrive as row changes in Elasticsearch, so triggers, jobs, and services can respond in near real time.

One integration pattern for the whole stack

Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.

Read Full Enrich with a query

Records from Full Enrich are ordinary rows in Elasticsearch; join them, index them, and use them in application logic without touching the vendor API.

What you can sync between Elasticsearch and Full Enrich

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 Full Enrich objects
Ingest pipelines Server-side transforms applied to documents as a sync writes them. Credits Account balance consumed on successful finds; monitored to pace sync jobs.
Index templates Reusable settings and mappings applied automatically to new indices a sync creates. Enrichment requests Submitted batches of contacts to enrich; processed asynchronously by the waterfall.
Indices Target containers for synced records; each holds a table-like collection of JSON documents. Contacts The person inputs (name plus company or domain) sent for enrichment.
Documents The unit of sync; JSON records created, updated, and deleted by _id. Enrichment results Completed records fetched by request ID or delivered via webhook.
Index mappings Field type definitions that determine how synced fields are indexed and queried. Emails Returned addresses with verification status, written back to the CRM or database.
Aliases Stable read/write names that let a sync cut over between index versions without downtime. Phone numbers Returned mobile and direct-dial numbers from the provider waterfall.
What ships with Elasticsearch ⇄ Full Enrich

Connect Elasticsearch and Full Enrich for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Elasticsearch–Full Enrich connection.

Real-time

Two-way sync

Changes in Elasticsearch or Full Enrich instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Elasticsearch or Full Enrich 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 Full Enrich record.

Observability

Monitoring

Track your Elasticsearch ⇄ Full Enrich 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 Full Enrich.

How the Elasticsearch and Full Enrich 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

Full Enrich

Integration surface
REST API with asynchronous bulk enrichment endpoints
Authentication
API key (Bearer token)
Change detection
Webhook callbacks when enrichment batches complete, with polling of result endpoints as a fallback
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's API rate limits and per-batch size constraints
How it works

How to connect Elasticsearch to Full Enrich — 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.

  1. 01

    Connect your apps

    Authenticate Elasticsearch and Full Enrich with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Elasticsearch connected
    Full Enrich connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Elasticsearch and Full Enrich 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Elasticsearch ⇄ Full Enrich
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Elasticsearch Full Enrich
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Elasticsearch and Full Enrich integration FAQ

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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Elasticsearch and Full Enrich.

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