Real-time
Two-way sync
Changes in Elasticsearch or Folk CRM instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ CRM
Elasticsearch to Folk CRM integration — real-time, two-way sync
Keep Elasticsearch and Folk CRM 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 Folk CRM
Treat Folk CRM like part of your database: its records live in Elasticsearch 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 Elasticsearch, where it can be queried and joined like everything else.
Stacksync mirrors Notes, Reminders, People, Companies from Folk CRM into Ingest pipelines, Index templates, Indices, Documents in Elasticsearch with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Folk CRM 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 folk people and companies with a marketing or outbound tool so outreach lists stay current.
- Push enriched contact data from a data warehouse into folk custom fields.
- Mirror support tickets into an index used for full-text search and agent-assist tooling.
- Feed enriched customer records into an index used for vector or hybrid search in AI applications.
Query the CRM like a database
Accounts, contacts, and custom objects from Folk CRM become tables in Elasticsearch you can join with application data directly.
Product events onto CRM records
Signup, usage, or lifecycle changes written to Elasticsearch sync onto the matching records in Folk CRM, 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 Folk CRM API, limits, and retries.
What you can sync between Elasticsearch and Folk CRM
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 | Folk CRM objects | |
|---|---|---|
| Documents The unit of sync; JSON records created, updated, and deleted by _id. | Reminders Follow-up items that can be created from external triggers. | |
| Index mappings Field type definitions that determine how synced fields are indexed and queried. | People Contact records; the primary entity synced with outreach and enrichment tools. | |
| Aliases Stable read/write names that let a sync cut over between index versions without downtime. | Companies Organization records linked to people and kept aligned with billing or CS systems. | |
| Data streams Append-only targets for time-series or event data pushed from source systems. | Groups Shared workspaces that organize contacts; group membership is often the field integrations act on. | |
| Ingest pipelines Server-side transforms applied to documents as a sync writes them. | Custom fields Group-scoped attributes that receive enriched or computed values from external systems. | |
| Index templates Reusable settings and mappings applied automatically to new indices a sync creates. | Notes Free-text context attached to people and companies, readable for reporting. |
What ships with Elasticsearch ⇄ Folk CRM
Connect Elasticsearch and Folk CRM for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Elasticsearch–Folk CRM connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Elasticsearch or Folk CRM 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 Folk CRM record.
Observability
Monitoring
Track your Elasticsearch ⇄ Folk CRM 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 Folk CRM.
How the Elasticsearch and Folk CRM 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
Folk CRM
- Integration surface
- REST API
- Authentication
- API key (Bearer token)
- Change detection
- Webhook subscriptions for record events, with polling of list endpoints as a fallback
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to the platform's API rate limits
How it works
How to connect Elasticsearch to Folk CRM — 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.
- 01
Connect your apps
Authenticate Elasticsearch and Folk CRM with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Elasticsearch
connected
Folk CRM
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Elasticsearch and Folk CRM 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.
objects · Elasticsearch ⇄ Folk CRMCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Elasticsearch Folk CRMCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Elasticsearch and Folk CRM integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Elasticsearch and Folk CRM: authenticate both systems, choose the objects to sync (such as Elasticsearch's Documents and Index mappings), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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Common patterns for Elasticsearch and Folk CRM: Query the CRM like a database; Product events onto CRM records; Internal tools without API code. Accounts, contacts, and custom objects from Folk CRM become tables in Elasticsearch you can join with application data directly.
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Elasticsearch: REST API (JSON over HTTP). Authentication: API keys or basic authentication; Elastic Cloud also issues service account tokens. Folk CRM: REST API. Authentication: API key (Bearer token). Stacksync manages authentication, retries, and rate limits on both sides.
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Folk CRM: The API surface covers people, companies, groups, deals, notes, reminders, and interactions, plus webhook subscriptions for record events. 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 Folk CRM without custom code.
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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 Folk CRM records are not retained after a sync operation.
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 Elasticsearch and Folk CRM.
Popular · 8 of 386
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Elasticsearch ⇄ Clearbit -
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Folk CRM ⇄ Supabase -
Folk CRM ⇄ MySQL -
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No integrations match .
