Two-way sync
Changes in Elasticsearch or Salesforce instantly reflect in both systems. No stale data, no manual imports.
Keep Elasticsearch 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.
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 Elasticsearch, where it can be queried and joined like everything else.
Stacksync mirrors Custom Objects, Accounts, Contacts, Leads from Salesforce into Documents, Index mappings, Aliases, Data streams in Elasticsearch 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.
Field and stage updates in Salesforce arrive as row changes in Elasticsearch, ready to drive jobs and notifications.
Accounts, contacts, and custom objects from Salesforce become tables in Elasticsearch you can join with application data directly.
Signup, usage, or lifecycle changes written to Elasticsearch sync onto the matching records in Salesforce, giving go-to-market teams live product context.
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 | Salesforce objects | |
|---|---|---|
| Ingest pipelines Server-side transforms applied to documents as a sync writes them. | Contacts People linked to Accounts; synced two-way with marketing, support, and warehouse person records. | |
| Index templates Reusable settings and mappings applied automatically to new indices a sync creates. | Leads Unqualified prospects; often written into Salesforce from enrichment or product-signup pipelines. | |
| Indices Target containers for synced records; each holds a table-like collection of JSON documents. | Opportunities Deal records with stage and amount; synced to databases for pipeline reporting and to ERPs at close. | |
| Documents The unit of sync; JSON records created, updated, and deleted by _id. | Cases Support records; synced with help desk tools or internal databases for escalation workflows. | |
| Index mappings Field type definitions that determine how synced fields are indexed and queried. | Campaigns Marketing membership data; read out for attribution analysis in the warehouse. | |
| Aliases Stable read/write names that let a sync cut over between index versions without downtime. | Tasks and Events Activity records; usually read-only in syncs to feed activity reporting. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Elasticsearch–Salesforce connection.
Changes in Elasticsearch or Salesforce instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Elasticsearch or Salesforce data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Elasticsearch or Salesforce record.
Track your Elasticsearch ⇄ Salesforce sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Elasticsearch and Salesforce.
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.
Authenticate Elasticsearch 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.
Pick the Elasticsearch 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Elasticsearch and Salesforce: authenticate both systems, choose the objects to sync (such as Elasticsearch's Ingest pipelines and Index templates), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Elasticsearch and Salesforce: Trigger workflows from CRM changes; Query the CRM like a database; Product events onto CRM records. Field and stage updates in Salesforce arrive as row changes in Elasticsearch, ready to drive jobs and notifications.
Elasticsearch: REST API (JSON over HTTP). Authentication: API keys or basic authentication; Elastic Cloud also issues service account tokens. Salesforce: 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. Stacksync manages authentication, retries, and rate limits on both sides.
Salesforce: Change Data Capture publishes create, update, delete, and undelete events on per-object channels, giving near-real-time change feeds without polling. Elasticsearch: A field's mapping is fixed once indexed; changing a field type requires reindexing into a new index, typically swapped in behind an alias. Stacksync's field mapping accounts for these differences between Elasticsearch and Salesforce without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Elasticsearch and Salesforce records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Elasticsearch and Salesforce connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Elasticsearch–Salesforce integration in-house.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Elasticsearch and Salesforce.