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Database

Connect Elasticsearch to any app with two-way sync.

Two-way sync Elasticsearch across all your CRMs, databases, data warehouses, EDI systems, and AI tools, with custom workflows tailored to your data.

  • 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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Object catalog

What Stacksync syncs in Elasticsearch.

These objects sync between Elasticsearch and any connected system, with field-level mapping and conflict resolution. Custom fields are picked up from the live schema where Elasticsearch exposes them.

Indices
Target containers for synced records; each holds a table-like collection of JSON documents.
Documents
The unit of sync; JSON records created, updated, and deleted by _id.
Index mappings
Field type definitions that determine how synced fields are indexed and queried.
Aliases
Stable read/write names that let a sync cut over between index versions without downtime.
Data streams
Append-only targets for time-series or event data pushed from source systems.
Ingest pipelines
Server-side transforms applied to documents as a sync writes them.
Index templates
Reusable settings and mappings applied automatically to new indices a sync creates.
API surface

How Stacksync connects to Elasticsearch.

The connector runs on Elasticsearch's native API. Stacksync manages authentication, rate limits, retries, and schema changes so your team does not maintain integration code.

Connection
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
Rate limits
No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity

Sync directions

  • Read Supported
  • Write Supported
  • Change data capture Not available
  • Webhooks Not available
What ships with Elasticsearch

Connect Elasticsearch for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in Elasticsearch instantly reflect across connected systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever 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 Elasticsearch record.

Observability

Monitoring

Track your Elasticsearch sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions.

Use cases

What teams run on the Elasticsearch connector.

Elasticsearch is bought by engineering teams for three workloads Elastic itself leads with: search (including AI and ecommerce search), observability, and security analytics; the company reports adoption by half of the Fortune 500. It rarely holds the system of record. Instead it sits beside operational databases as a serving layer, so its indices need continuous feeding from upstream systems to stay useful for full-text and vector retrieval.

  • Data engineering
  • Platform engineering
  • Search engineers
  • DevOps/SRE
  1. Sync CRM accounts and contacts into an Elasticsearch index to power internal search across customer records.

  2. Push product catalog data from an ERP or commerce database into Elasticsearch for storefront search.

  3. Mirror support tickets into an index used for full-text search and agent-assist tooling.

  4. Keep an operational Postgres or MySQL table replicated to an index so applications query Elasticsearch instead of the primary database.

  5. Feed enriched customer records into an index used for vector or hybrid search in AI applications.

  6. Continuously index records from an operational database as Documents in Elasticsearch Indices to power product or support search without custom ETL.

All Elasticsearch integrations

Pick the system you need to keep in sync with Elasticsearch. Each page covers the sync setup, field mapping, and common workflows for that pair.

How it works

Set up Elasticsearch in minutes, without APIs.

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 with its 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
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Elasticsearch objects to sync — Stacksync auto-detects the schema, 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
    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 database
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp

FAQ

Elasticsearch connector FAQ

What can I sync with the Elasticsearch connector?

Elasticsearch's core objects — Indices, Documents, Index mappings, Aliases and custom fields — can sync with any of 302 other systems. Every integration is real-time and bidirectional, with field-level mapping and conflict resolution.

How does Stacksync connect to Elasticsearch?

Via REST API (JSON over HTTP), authenticated with API keys or basic authentication; Elastic Cloud also issues service account tokens. Changes are detected as follows — polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks. Stacksync manages rate limits, retries, and schema changes automatically.

Is the Elasticsearch connector two-way?

Yes. Changes made in Elasticsearch propagate to the connected system and vice versa, in milliseconds. One-way flows are also supported when a direction should stay read-only.

How long does an Elasticsearch integration take to set up?

Most Elasticsearch integrations go live in minutes: authenticate Elasticsearch and the other system, pick objects and fields, and enable the sync. No code and no infrastructure to manage.

Is Elasticsearch data secure in transit?

Stacksync is SOC 2 Type II, ISO 27001, GDPR and HIPAA compliant. Elasticsearch data is encrypted in transit, and a zero-persistent-storage architecture means records are not retained after a sync operation.

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
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:

Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.