Real-time
Two-way sync
Changes in DEAR Inventory or Elasticsearch instantly reflect in both systems. No stale data, no manual imports.
ERP ⇄ Database
DEAR Inventory to Elasticsearch integration — real-time, two-way sync
Keep DEAR Inventory and Elasticsearch 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
Case study
Migrated from MuleSoft
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Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect DEAR Inventory and Elasticsearch
Give your engineers DEAR Inventory's data in Elasticsearch: read it with normal queries, write back through the sync, and skip the ERP API entirely.
ERP data sits behind interfaces built for the ERP's own modules, not for your internal systems. Teams that need those records, for reporting services, internal tools, or automations, end up writing integration code against a strict API and maintaining it through every upgrade.
Stacksync mirrors Locations, Products, Stock levels, Sale orders from DEAR Inventory into Elasticsearch and keeps both sides consistent in real time. Whatever DEAR Inventory is the system of record for, whether financials, operations, people, or procurement, those records become rows your code can query, and changes written in Elasticsearch sync back into DEAR Inventory with its validations respected.
Common use cases
- 01 Mirror support tickets into an index used for full-text search and agent-assist tooling.
- 02 Feed enriched customer records into an index used for vector or hybrid search in AI applications.
- 03 Push sale orders from a storefront or CRM into DEAR for fulfillment without manual re-entry.
- 04 Land orders, costs, and inventory movements in a warehouse for margin and stock-turn reporting.
Common sync patterns
Where DEAR Inventory is the HR system of record: people data for internal systems
Worker and org records stay current in Elasticsearch for provisioning, access, and reporting systems that read from the database.
Controlled write-back
Choose exactly which tables and fields may flow from Elasticsearch back into DEAR Inventory, keeping the ERP authoritative.
Read ERP records with a query
Records from DEAR Inventory live in Elasticsearch as ordinary tables or collections, joinable with the rest of your data.
What you can sync between DEAR Inventory and Elasticsearch
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.
| DEAR Inventory objects | Elasticsearch objects | How this pairing syncs | |
|---|---|---|---|
| Sale orders Customer orders through their pick/pack/ship lifecycle; synced with storefronts and CRMs. | Indices Target containers for synced records; each holds a table-like collection of JSON documents. | Sale orders is specific to DEAR Inventory and Indices to Elasticsearch — each maps to any object or custom field on the other side. | |
| Purchase orders Supplier orders and receiving records synced with accounting and planning tools. | Documents The unit of sync; JSON records created, updated, and deleted by _id. | Purchase orders is specific to DEAR Inventory and Documents to Elasticsearch — each maps to any object or custom field on the other side. | |
| Customers Buyer records aligned with CRM and accounting counterparts. | Index mappings Field type definitions that determine how synced fields are indexed and queried. | Customers is specific to DEAR Inventory and Index mappings to Elasticsearch — each maps to any object or custom field on the other side. | |
| Suppliers Vendor records referenced on purchase orders. | Aliases Stable read/write names that let a sync cut over between index versions without downtime. | Suppliers is specific to DEAR Inventory and Aliases to Elasticsearch — each maps to any object or custom field on the other side. | |
| Stock adjustments and transfers Inventory movement transactions that explain changes in availability. | Data streams Append-only targets for time-series or event data pushed from source systems. | Stock adjustments and transfers is specific to DEAR Inventory and Data streams to Elasticsearch — each maps to any object or custom field on the other side. | |
| Assemblies / Production Bill-of-material and production records for light manufacturing workflows. | Ingest pipelines Server-side transforms applied to documents as a sync writes them. | Assemblies / Production is specific to DEAR Inventory and Ingest pipelines to Elasticsearch — each maps to any object or custom field on the other side. |
How changes propagate between DEAR Inventory and Elasticsearch
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.
DEAR Inventory Elasticsearch Sub-second propagation
DetectionDEAR Inventory notifies Stacksync of record changes through webhook events. Polling with modified-since filters.
DeliveryEach detected change is written to Elasticsearch through its API, with automatic retries and rate-limit backoff.
Elasticsearch DEAR Inventory 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 DEAR Inventory through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- DEAR Inventory: Subject to the platform's per-account API rate limits.
- Elasticsearch: No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity.
What ships with DEAR Inventory ⇄ Elasticsearch
Connect DEAR Inventory and Elasticsearch for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every DEAR Inventory–Elasticsearch connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever DEAR Inventory or Elasticsearch 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 DEAR Inventory or Elasticsearch record.
Observability
Monitoring
Track your DEAR Inventory ⇄ Elasticsearch sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between DEAR Inventory and Elasticsearch.
How the DEAR Inventory and Elasticsearch connectors work
DEAR Inventory
- Integration surface
- REST API
- Authentication
- Account ID plus application key sent as request headers
- Change detection
- Polling with modified-since filters; webhook notifications for sale and purchase events are available on subscriptions that include the Automation module
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to the platform's per-account API rate limits
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
How it works
How to connect DEAR Inventory to Elasticsearch — 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 DEAR Inventory and Elasticsearch with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
DEAR Inventory
connected
Elasticsearch
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the DEAR Inventory and Elasticsearch 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 · DEAR Inventory ⇄ ElasticsearchCustomers 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.
DEAR Inventory ElasticsearchCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
DEAR Inventory and Elasticsearch integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between DEAR Inventory and Elasticsearch: authenticate both systems, choose the objects to sync (such as DEAR Inventory's Sale orders and Purchase orders), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Yes — Stacksync ships production-grade connectors for both DEAR Inventory and Elasticsearch. 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 DEAR Inventory: Polling with modified-since filters; webhook notifications for sale and purchase events are available on subscriptions that include the Automation module. On Elasticsearch: Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks. 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 Elasticsearch side: Documents, Index mappings, Aliases, Data streams, plus custom fields where Elasticsearch exposes them. On the DEAR Inventory side: Locations, Products, Stock levels, Sale orders. Stacksync auto-detects both schemas and converts types between the two systems.
-
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.
-
Common patterns for DEAR Inventory and Elasticsearch: Where DEAR Inventory is the HR system of record: people data for internal systems; Controlled write-back; Read ERP records with a query. Worker and org records stay current in Elasticsearch for provisioning, access, and reporting systems that read from the database.
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
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
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Popular · 5 of 422
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DEAR Inventory ⇄ Amazon DynamoDB -
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Elasticsearch ⇄ Infor CloudSuite - Elasticsearch ⇄ Infor LN
- Elasticsearch ⇄ Infor M3
No integrations match .
