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Database ⇄ CRM

OpenSearch to Salesforce integration — real-time, two-way sync

Keep OpenSearch and Salesforce 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 OpenSearch and Salesforce

Treat Salesforce like part of your database: its records live in OpenSearch 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 OpenSearch, where it can be queried and joined like everything else.

Stacksync mirrors Leads, Opportunities, Cases, Campaigns from Salesforce into Ingest pipelines, Data streams, Snapshots, Indexes in OpenSearch with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Salesforce 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

  • Sync Accounts, Contacts, and Opportunities bi-directionally with Postgres so engineering teams read and write CRM data with plain SQL.
  • Write product usage metrics computed in a warehouse onto Account and Contact fields so reps see adoption signals on the record.
  • Stream CRM records such as accounts, contacts, and tickets into OpenSearch to power internal search across customer data.
  • Sync product catalogs from an ERP or database into the indexes that back storefront search.

Query the CRM like a database

Accounts, contacts, and custom objects from Salesforce become tables in OpenSearch you can join with application data directly.

Product events onto CRM records

Signup, usage, or lifecycle changes written to OpenSearch sync onto the matching records in Salesforce, giving go-to-market teams live product context.

Internal tools without API code

Back-office apps read and write the synced tables; Stacksync handles the Salesforce API, limits, and retries.

What you can sync between OpenSearch and Salesforce

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.

OpenSearch objects Salesforce objects
Documents JSON records written via the index and bulk APIs and read via search queries Contacts People linked to Accounts; synced two-way with marketing, support, and warehouse person records.
Index aliases Stable names over rotating indexes, used for zero-downtime reindex during backfills Leads Unqualified prospects; often written into Salesforce from enrichment or product-signup pipelines.
Index templates Mapping and settings presets applied to new indexes a sync creates Opportunities Deal records with stage and amount; synced to databases for pipeline reporting and to ERPs at close.
Ingest pipelines Server-side processors that transform documents as they are written Cases Support records; synced with help desk tools or internal databases for escalation workflows.
Data streams Append-oriented time-series storage for logs and events pushed from source systems Campaigns Marketing membership data; read out for attribution analysis in the warehouse.
Snapshots Backup artifacts, relevant when reseeding an index from a repository Tasks and Events Activity records; usually read-only in syncs to feed activity reporting.
What ships with OpenSearch ⇄ Salesforce

Connect OpenSearch and Salesforce for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in OpenSearch or Salesforce instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever OpenSearch or Salesforce 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 or Salesforce record.

Observability

Monitoring

Track your OpenSearch ⇄ Salesforce sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between OpenSearch and Salesforce.

How the OpenSearch and Salesforce connectors work

OpenSearch

Integration surface
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
Capabilities
read · write
Rate limits
throughput bounded by cluster sizing rather than fixed API quotas

Salesforce

Integration surface
REST, SOAP, and Bulk APIs
Authentication
OAuth login via a Salesforce user (browser-based authorization flow); requires "API Enabled" permission for polling mode, plus "Author Apex" and "Customize Application" OR "Modify All Data" for trigger mode
Change detection
Apex triggers are used whenever possible (Salesforce actively notifies Stacksync via an Apex trigger + callout class + remote site setting)
Capabilities
read · write · CDC
Rate limits
Daily API request allocations vary by edition and license count.
Salesforce setup guide
How it works

How to connect OpenSearch to Salesforce — 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 OpenSearch and Salesforce 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
    OpenSearch connected
    Salesforce connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the OpenSearch and Salesforce 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 · OpenSearch ⇄ Salesforce
    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 Salesforce
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

OpenSearch and Salesforce 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.

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 OpenSearch and Salesforce.

Popular · 8 of 386
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