Two-way sync
Changes in DEAR Inventory or SingleStore instantly reflect in both systems. No stale data, no manual imports.
Keep DEAR Inventory and SingleStore in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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 Purchase orders, Customers, Suppliers, Stock adjustments and transfers from DEAR Inventory into SingleStore 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 SingleStore sync back into DEAR Inventory with its validations respected.
Scripts and services read and write the synced tables; Stacksync handles the DEAR Inventory interface, limits, and retries.
Updates in DEAR Inventory arrive as row changes in SingleStore, so jobs and triggers can respond as the business record changes.
Worker and org records stay current in SingleStore for provisioning, access, and reporting systems that read from the database.
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 | SingleStore objects | |
|---|---|---|
| Products SKU records with pricing, suppliers, and bill-of-material links; the master data most syncs start from. | Databases The connection target containing the tables a sync addresses. | |
| Stock levels Per-location availability derived from inventory transactions; read-heavy in storefront syncs. | Tables (rowstore and columnstore) Primary read/write target; storage type affects whether a table suits point lookups or scans. | |
| Sale orders Customer orders through their pick/pack/ship lifecycle; synced with storefronts and CRMs. | Views Read-only projections used as curated sync sources. | |
| Purchase orders Supplier orders and receiving records synced with accounting and planning tools. | Reference Tables Small tables replicated to every node, often used for dimension data in syncs. | |
| Customers Buyer records aligned with CRM and accounting counterparts. | Pipelines Native ingestion jobs from Kafka or object storage that coexist with external syncs. | |
| Suppliers Vendor records referenced on purchase orders. | Stored Procedures Existing logic sometimes invoked on write paths. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every DEAR Inventory–SingleStore connection.
Changes in DEAR Inventory or SingleStore instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever DEAR Inventory or SingleStore data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single DEAR Inventory or SingleStore record.
Track your DEAR Inventory ⇄ SingleStore sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between DEAR Inventory and SingleStore.
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.
Authenticate DEAR Inventory and SingleStore with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the DEAR Inventory and SingleStore 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between DEAR Inventory and SingleStore: authenticate both systems, choose the objects to sync (such as DEAR Inventory's Products and Stock levels), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both DEAR Inventory and SingleStore. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 SingleStore: Polling on timestamp or watermark columns; the platform also provides change-observation features in recent versions. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the SingleStore side: Databases, Tables (rowstore and columnstore), Views, Reference Tables, plus custom fields where SingleStore exposes them. On the DEAR Inventory side: Purchase orders, Customers, Suppliers, Stock adjustments and transfers. 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 SingleStore: Internal tools and automations without API code; React to ERP changes; Where DEAR Inventory is the HR system of record: people data for internal systems. Scripts and services read and write the synced tables; Stacksync handles the DEAR Inventory interface, limits, and retries.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for DEAR Inventory and SingleStore.