Real-time
Two-way sync
Changes in Elasticsearch or Orderful instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Business productivity
Elasticsearch to Orderful integration — real-time, two-way sync
Keep Elasticsearch and Orderful 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
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Migrated from Matillion
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Elasticsearch and Orderful
Mirror Orderful'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 Orderful 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 Transactions, Trading partners, Relationships, Validation guidelines from Orderful into Index templates, Indices, Documents, Index mappings 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 Orderful, so the tool and the database never disagree.
Common use cases
- Onboard new retail partners by mapping Orderful's JSON transactions to existing order tables instead of building per-partner EDI maps.
- Reconcile 810 invoices against ERP billing records automatically as documents arrive.
- 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.
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.
Read Orderful with a query
Records from Orderful are ordinary rows in Elasticsearch; join them, index them, and use them in application logic without touching the vendor API.
Automate Orderful from your codebase
Write to the synced tables in Elasticsearch and Stacksync propagates the change into Orderful, replacing custom integration code.
What you can sync between Elasticsearch and Orderful
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 | Orderful objects | |
|---|---|---|
| Documents The unit of sync; JSON records created, updated, and deleted by _id. | Transactions EDI documents such as 850 purchase orders, 810 invoices, and 856 ship notices, represented as JSON | |
| Index mappings Field type definitions that determine how synced fields are indexed and queried. | Trading partners The retailers, carriers, and suppliers a company exchanges documents with | |
| Aliases Stable read/write names that let a sync cut over between index versions without downtime. | Relationships Active partner connections per transaction type that govern what can be sent and received | |
| Data streams Append-only targets for time-series or event data pushed from source systems. | Validation guidelines Partner-specific rules transactions are checked against before delivery | |
| Ingest pipelines Server-side transforms applied to documents as a sync writes them. | Acknowledgments 997 functional acknowledgments confirming receipt of transmitted documents | |
| Index templates Reusable settings and mappings applied automatically to new indices a sync creates. | Webhook events Push notifications for inbound documents and transaction status changes |
What ships with Elasticsearch ⇄ Orderful
Connect Elasticsearch and Orderful for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Elasticsearch–Orderful connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Elasticsearch or Orderful 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 Orderful record.
Observability
Monitoring
Track your Elasticsearch ⇄ Orderful 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 Orderful.
How the Elasticsearch and Orderful 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
Orderful
- Integration surface
- REST API (JSON)
- Authentication
- API key
- Change detection
- webhooks push inbound transactions and status events; polling available as fallback
- Capabilities
- read · write · webhooks
- Rate limits
- subject to the platform's API rate limits
How it works
How to connect Elasticsearch to Orderful — 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 Orderful 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
Orderful
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Elasticsearch and Orderful 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 ⇄ OrderfulCustomers 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 OrderfulCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Elasticsearch and Orderful integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Elasticsearch and Orderful: 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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Elasticsearch: REST API (JSON over HTTP). Authentication: API keys or basic authentication; Elastic Cloud also issues service account tokens. Orderful: REST API (JSON). Authentication: API key. Stacksync manages authentication, retries, and rate limits on both sides.
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Orderful: Orderful represents X12 EDI documents as JSON over REST, so integrations avoid parsing raw EDI segments and delimiters. 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. Stacksync's field mapping accounts for these differences between Elasticsearch and Orderful 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 Orderful records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Elasticsearch and Orderful connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Elasticsearch–Orderful integration in-house.
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Yes — Stacksync ships production-grade connectors for both Elasticsearch and Orderful. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 Orderful.
Popular · 8 of 386
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Elasticsearch ⇄ Customer.io -
Elasticsearch ⇄ eClinicalWorks -
Elasticsearch ⇄ Full Enrich -
Elasticsearch ⇄ Google Sheets -
Orderful ⇄ AWS Aurora MySQL - Orderful ⇄ AWS Aurora PostgreSQL
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Orderful ⇄ MongoDB -
Orderful ⇄ CockroachDB
No integrations match .
