Real-time
Two-way sync
Changes in Elasticsearch or Sage 300 instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ ERP
Elasticsearch to Sage 300 integration — real-time, two-way sync
Keep Elasticsearch and Sage 300 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 Elasticsearch and Sage 300
Give your engineers Sage 300'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 AP Vendors, GL Accounts, Journal Batches, Order Entry Orders from Sage 300 into Elasticsearch and keeps both sides consistent in real time. Whatever Sage 300 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 Sage 300 with its validations respected.
Common use cases
- 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.
- Keep inventory items and quantities aligned with e-commerce and warehouse systems on a schedule.
- Sync AR customers, invoices, and balances into a CRM for multi-currency account visibility.
Controlled write-back
Choose exactly which tables and fields may flow from Elasticsearch back into Sage 300, keeping the ERP authoritative.
Read ERP records with a query
Records from Sage 300 live in Elasticsearch as ordinary tables or collections, joinable with the rest of your data.
Internal tools and automations without API code
Scripts and services read and write the synced tables; Stacksync handles the Sage 300 interface, limits, and retries.
What you can sync between Elasticsearch and Sage 300
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 | Sage 300 objects | |
|---|---|---|
| Index mappings Field type definitions that determine how synced fields are indexed and queried. | GL Accounts Chart of accounts read for transaction mapping across integrations. | |
| Aliases Stable read/write names that let a sync cut over between index versions without downtime. | Journal Batches GL entries staged in batches that must be posted; a common write target for external systems. | |
| Data streams Append-only targets for time-series or event data pushed from source systems. | Order Entry Orders Sales orders written from e-commerce or EDI feeds. | |
| Ingest pipelines Server-side transforms applied to documents as a sync writes them. | Purchase Orders Procurement documents read for spend visibility and receiving. | |
| Index templates Reusable settings and mappings applied automatically to new indices a sync creates. | Inventory Items Item master with costing and quantities, synced to storefronts and WMS. | |
| Indices Target containers for synced records; each holds a table-like collection of JSON documents. | AR Invoices and Receipts Billing and payment records replicated for cash and revenue reporting. |
What ships with Elasticsearch ⇄ Sage 300
Connect Elasticsearch and Sage 300 for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Elasticsearch–Sage 300 connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Elasticsearch or Sage 300 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 Sage 300 record.
Observability
Monitoring
Track your Elasticsearch ⇄ Sage 300 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 Sage 300.
How the Elasticsearch and Sage 300 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
Sage 300
- Integration surface
- Sage 300 Web API (REST) on newer releases; .NET/COM SDK and direct SQL Server access on-prem
- Authentication
- Sage 300 user credentials (Basic auth on the Web API); database credentials for direct SQL reads
- Change detection
- Scheduled polling; batch-oriented modules with no webhook surface
- Capabilities
- read · write
How it works
How to connect Elasticsearch to Sage 300 — 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 Sage 300 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
Sage 300
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Elasticsearch and Sage 300 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 ⇄ Sage 300Customers 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 Sage 300Company company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Elasticsearch and Sage 300 integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Elasticsearch and Sage 300: authenticate both systems, choose the objects to sync (such as Elasticsearch's Index mappings and Aliases), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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. Sage 300: Multi-currency and multi-company operation are core to the data model, and integrations must carry currency and company context on every transaction. Stacksync's field mapping accounts for these differences between Elasticsearch and Sage 300 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 Sage 300 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 Sage 300 connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Elasticsearch–Sage 300 integration in-house.
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Yes — Stacksync ships production-grade connectors for both Elasticsearch and Sage 300. 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 Sage 300: Scheduled polling; batch-oriented modules with no webhook surface. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 Sage 300.
Popular · 8 of 386
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Elasticsearch ⇄ Acumatica -
Elasticsearch ⇄ SAP S/4HANA -
Elasticsearch ⇄ Odoo -
Elasticsearch ⇄ Blue Yonder WMS -
Sage 300 ⇄ CockroachDB -
Sage 300 ⇄ Google AlloyDB -
Sage 300 ⇄ Dynamo DB -
Sage 300 ⇄ IBM Db2
No integrations match .
