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Database

Connect OpenSearch to any app with two-way sync.

Two-way sync OpenSearch 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 OpenSearch.

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

Indexes
the core container; synced records land in indexes with defined mappings
Documents
JSON records written via the index and bulk APIs and read via search queries
Index aliases
stable names over rotating indexes, used for zero-downtime reindex during backfills
Index templates
mapping and settings presets applied to new indexes a sync creates
Ingest pipelines
server-side processors that transform documents as they are written
Data streams
append-oriented time-series storage for logs and events pushed from source systems
Snapshots
backup artifacts, relevant when reseeding an index from a repository
API surface

How Stacksync connects to OpenSearch.

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

Connection
REST API over HTTP(S) with JSON payloads
Authentication
basic authentication with the security plugin, or AWS IAM request signing on Amazon OpenSearch Service
Change detection
no native change feed; reads rely on queries with scroll or point-in-time polling
Rate limits
throughput bounded by cluster sizing rather than fixed API quotas

Sync directions

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

Connect OpenSearch 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 OpenSearch instantly reflect across connected systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever OpenSearch 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 OpenSearch record.

Observability

Monitoring

Track your OpenSearch 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 OpenSearch connector.

OpenSearch is adopted by data, platform, and search engineers who want an Apache 2.0-licensed search and analytics suite, governed since 2024 by the OpenSearch Software Foundation under the Linux Foundation. It targets enterprise search, log analytics and observability, security analytics, and vector/AI workloads, and it sits downstream of systems of record as a serving layer - its data gravity is in indexes of documents derived from sources elsewhere.

  • Data engineers
  • Platform/DevOps engineers
  • Search engineers
  • Analytics engineers
  1. Stream CRM records such as accounts, contacts, and tickets into OpenSearch to power internal search across customer data.

  2. Sync product catalogs from an ERP or database into the indexes that back storefront search.

  3. Keep Postgres as the source of truth while mirroring rows to OpenSearch for full-text and vector queries.

  4. Index support tickets and activity logs from SaaS tools for operational dashboards.

  5. Backfill or rebuild indexes from a database after mapping changes without hand-written ETL.

  6. Stream rows from a CRM or operational database into OpenSearch Documents and Indexes to power customer or product search without maintaining custom indexing code.

All OpenSearch integrations

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

How it works

Set up OpenSearch 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 OpenSearch 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
    OpenSearch connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the OpenSearch 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 · OpenSearch
    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
    OpenSearch database
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp

FAQ

OpenSearch connector FAQ

What can I sync with the OpenSearch connector?

OpenSearch's core objects — Indexes, Documents, Index aliases, Index templates 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 OpenSearch?

Via REST API over HTTP(S) with JSON payloads, authenticated with basic authentication with the security plugin, or AWS IAM request signing on Amazon OpenSearch Service. Changes are detected as follows — no native change feed; reads rely on queries with scroll or point-in-time polling. Stacksync manages rate limits, retries, and schema changes automatically.

Is the OpenSearch connector two-way?

Yes. Changes made in OpenSearch 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 OpenSearch integration take to set up?

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

Is OpenSearch data secure in transit?

Stacksync is SOC 2 Type II, ISO 27001, GDPR and HIPAA compliant. OpenSearch 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
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:

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