Real-time
Two-way sync
Changes in Elasticsearch or Snapfulfil instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ ERP
Elasticsearch to Snapfulfil integration — real-time, two-way sync
Keep Elasticsearch and Snapfulfil 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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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 Snapfulfil
Give your engineers Snapfulfil'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 Items (SKUs), Inventory balances, Shipments, Warehouse locations from Snapfulfil into Elasticsearch and keeps both sides consistent in real time. Whatever Snapfulfil 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 Snapfulfil with its validations respected.
Common use cases
- Sync CRM accounts and contacts into an Elasticsearch index to power internal search across customer records.
- Push product catalog data from an ERP or commerce database into Elasticsearch for storefront search.
- Mirror fulfillment activity into a database for operational reporting outside the WMS
- Push sales orders from an ERP or e-commerce platform into Snapfulfil for fulfillment without file drops
Internal tools and automations without API code
Scripts and services read and write the synced tables; Stacksync handles the Snapfulfil interface, limits, and retries.
React to ERP changes
Updates in Snapfulfil arrive as row changes in Elasticsearch, so jobs and triggers can respond as the business record changes.
Where Snapfulfil 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.
What you can sync between Elasticsearch and Snapfulfil
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 | Snapfulfil objects | |
|---|---|---|
| Data streams Append-only targets for time-series or event data pushed from source systems. | Warehouse locations Bin and zone structure referenced by stock and movement records. | |
| Ingest pipelines Server-side transforms applied to documents as a sync writes them. | Returns Inbound customer returns processed back into stock or quarantine. | |
| Index templates Reusable settings and mappings applied automatically to new indices a sync creates. | Sales orders Orders pushed into the WMS for picking, packing, and dispatch. | |
| Indices Target containers for synced records; each holds a table-like collection of JSON documents. | Purchase orders / ASNs Inbound expectations that drive receiving and putaway. | |
| Documents The unit of sync; JSON records created, updated, and deleted by _id. | Items (SKUs) The item master, usually sourced from the ERP or storefront. | |
| Index mappings Field type definitions that determine how synced fields are indexed and queried. | Inventory balances On-hand and allocated stock, read back to keep the ERP and selling channels accurate. |
What ships with Elasticsearch ⇄ Snapfulfil
Connect Elasticsearch and Snapfulfil for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Elasticsearch–Snapfulfil connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Elasticsearch or Snapfulfil 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 Snapfulfil record.
Observability
Monitoring
Track your Elasticsearch ⇄ Snapfulfil 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 Snapfulfil.
How the Elasticsearch and Snapfulfil 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
Snapfulfil
- Integration surface
- REST-style web service API
- Authentication
- API credentials issued for the warehouse instance
- Change detection
- Polling, subject to the platform's API rate limits
- Capabilities
- read · write
- Rate limits
- Specific quotas are not publicly standardized; treat throughput as instance-dependent
How it works
How to connect Elasticsearch to Snapfulfil — 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 Snapfulfil 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
Snapfulfil
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Elasticsearch and Snapfulfil 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 ⇄ SnapfulfilCustomers 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 SnapfulfilCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Elasticsearch and Snapfulfil integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Elasticsearch and Snapfulfil: 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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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 Snapfulfil: Internal tools and automations without API code; React to ERP changes; Where Snapfulfil is the HR system of record: people data for internal systems. Scripts and services read and write the synced tables; Stacksync handles the Snapfulfil interface, limits, and retries.
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Elasticsearch: REST API (JSON over HTTP). Authentication: API keys or basic authentication; Elastic Cloud also issues service account tokens. Snapfulfil: REST-style web service API. Authentication: API credentials issued for the warehouse instance. Stacksync manages authentication, retries, and rate limits on both sides.
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Elasticsearch: Writes are addressed by document _id, so upserts map directly onto the index API, and the _bulk endpoint batches many operations in a single request. Snapfulfil: Its data model follows the warehouse order lifecycle (receive, putaway, pick, pack, ship), so integrations center on orders, stock, and shipments. Stacksync's field mapping accounts for these differences between Elasticsearch and Snapfulfil 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 Snapfulfil 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 Snapfulfil.
Popular · 8 of 386
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Elasticsearch ⇄ IQMS (DELMIAworks) -
Elasticsearch ⇄ JobBOSS² -
Elasticsearch ⇄ Körber WMS -
Elasticsearch ⇄ Linnworks -
Snapfulfil ⇄ Google AlloyDB -
Snapfulfil ⇄ Dynamo DB -
Snapfulfil ⇄ IBM Db2 -
Snapfulfil ⇄ Firebase
No integrations match .
