Real-time
Two-way sync
Changes in Elasticsearch or Monday instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Business productivity
Elasticsearch to Monday integration — real-time, two-way sync
Keep Elasticsearch and Monday 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
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Adopted by fast-scaling companies moving mission-critical data in real time
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Migrated from MuleSoft
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Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Elasticsearch and Monday
Mirror Monday's data into Elasticsearch so your own code can read and write it like any other table, with changes flowing both ways in seconds.
Engineers integrate with tools like Monday through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Elasticsearch.
Stacksync mirrors Updates, Users, Workspaces, Boards from Monday into Data streams, Ingest pipelines, Index templates, Indices in Elasticsearch and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Monday, so the tool and the database never disagree.
Common use cases
- 01 Write closed deals or provisioning records from a CRM or ERP into monday.com Items to kick off delivery and onboarding boards.
- 02 Mirror monday.com Boards, Groups, and Subitems into a warehouse for cross-project reporting on status and timelines without CSV exports.
- 03 Push product catalog data from an ERP or commerce database into Elasticsearch for storefront search.
- 04 Mirror support tickets into an index used for full-text search and agent-assist tooling.
Common sync patterns
Automate Monday from your codebase
Write to the synced tables in Elasticsearch and Stacksync propagates the change into Monday, replacing custom integration code.
React to changes as they happen
Updates in Monday arrive as row changes in Elasticsearch, so triggers, jobs, and services can respond in near real time.
One integration pattern for the whole stack
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
What you can sync between Elasticsearch and Monday
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 | Monday objects | How this pairing syncs | |
|---|---|---|---|
| Data streams Append-only targets for time-series or event data pushed from source systems. | Users Account members referenced by people columns; read to resolve owner and assignee IDs to names and emails. | Data streams is specific to Elasticsearch and Users to Monday — each maps to any object or custom field on the other side. | |
| Ingest pipelines Server-side transforms applied to documents as a sync writes them. | Workspaces Top-level containers that hold boards; used to scope which boards a given sync covers. | Ingest pipelines is specific to Elasticsearch and Workspaces to Monday — each maps to any object or custom field on the other side. | |
| Index templates Reusable settings and mappings applied automatically to new indices a sync creates. | Boards Table-like containers that hold items; each board maps to a synced table, and its columns define the field mapping. | Index templates is specific to Elasticsearch and Boards to Monday — each maps to any object or custom field on the other side. | |
| Indices Target containers for synced records; each holds a table-like collection of JSON documents. | Items Rows within a board and the primary record; synced two-way and created, updated, archived, or deleted via GraphQL mutations. | Indices is specific to Elasticsearch and Items to Monday — each maps to any object or custom field on the other side. | |
| Documents The unit of sync; JSON records created, updated, and deleted by _id. | Subitems Nested rows under items, stored on a separate hidden board; synced as a child table linked to the parent item. | Documents is specific to Elasticsearch and Subitems to Monday — each maps to any object or custom field on the other side. | |
| Index mappings Field type definitions that determine how synced fields are indexed and queried. | Column values Typed fields (status, date, people, numbers, connect-boards); polymorphic JSON usually written together via change_multiple_column_values. | Index mappings is specific to Elasticsearch and Column values to Monday — each maps to any object or custom field on the other side. |
How changes propagate between Elasticsearch and Monday
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
Elasticsearch Monday Interval-based propagation
DetectionStacksync polls Elasticsearch for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or sequence fields.
DeliveryEach detected change is written to Monday through its API, with automatic retries and rate-limit backoff.
Monday Elasticsearch Sub-second propagation
DetectionMonday notifies Stacksync of record changes through webhook events. Board-scoped webhooks (create_item, change_column_value, item_deleted, and similar) for real-time events.
DeliveryEach detected change is written to Elasticsearch through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Elasticsearch: No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity.
- Monday: Complexity-budget limits: a single query caps at 5M complexity points and ~10M points/min per user token (1M on trial/free) over a sliding 60s window.
What ships with Elasticsearch ⇄ Monday
Connect Elasticsearch and Monday for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Elasticsearch–Monday connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Elasticsearch or Monday 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 Monday record.
Observability
Monitoring
Track your Elasticsearch ⇄ Monday 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 Monday.
How the Elasticsearch and Monday 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
Monday
- Integration surface
- GraphQL API (single endpoint, api.monday.com/v2)
- Authentication
- OAuth 2.0 for installed apps, or a per-user personal API token (admin/member scope); a date-based API version is sent via request header
- Change detection
- Board-scoped webhooks (create_item, change_column_value, item_deleted, and similar) for real-time events; polling falls back to the item updated_at field
- Capabilities
- read · write · webhooks
- Rate limits
- Complexity-budget limits: a single query caps at 5M complexity points and ~10M points/min per user token (1M on trial/free) over a sliding 60s window
How it works
How to connect Elasticsearch to Monday — 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 Monday 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
Monday
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Elasticsearch and Monday 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 ⇄ MondayCustomers 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 MondayCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Elasticsearch and Monday integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Elasticsearch and Monday: authenticate both systems, choose the objects to sync (such as Elasticsearch's Data streams and Ingest pipelines), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Elasticsearch and Monday connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Elasticsearch–Monday integration in-house.
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Yes — Stacksync ships production-grade connectors for both Elasticsearch and Monday. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Elasticsearch: Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks. On Monday: Board-scoped webhooks (create_item, change_column_value, item_deleted, and similar) for real-time events; polling falls back to the item updated_at field. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Monday side: Updates, Users, Workspaces, Boards, plus custom fields where Monday exposes them. On the Elasticsearch side: Data streams, Ingest pipelines, Index templates, Indices. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 525 integrations available for Elasticsearch and Monday.
Popular · 5 of 525
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Elasticsearch ⇄ Google Sheets -
Monday ⇄ InterSystems IRIS -
Monday ⇄ MarkLogic -
Monday ⇄ Neo4j -
Monday ⇄ OCI Database (Oracle Cloud)
No integrations match .
