Real-time
Two-way sync
Changes in Databricks or DEAR Inventory instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ ERP
Databricks to DEAR Inventory integration — real-time, two-way sync
Keep Databricks and DEAR Inventory 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
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Databricks and DEAR Inventory
Put DEAR Inventory's records in Databricks as live tables for reporting and analysis, without extract jobs, and write results back where DEAR Inventory can use them.
ERP data is some of the most asked-for data in the warehouse and some of the hardest to get: the record types are many, the APIs are strict, and extract jobs are brittle. Whether DEAR Inventory carries financials, operations, workforce data, or all three, the analysis belongs in Databricks next to everything else the company measures.
Stacksync syncs Stock adjustments and transfers, Assemblies / Production, Locations, Products from DEAR Inventory into tables in Databricks continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Databricks can be written back to fields in DEAR Inventory where that is useful.
Common use cases
- Land CRM and ERP records in Delta tables continuously so lakehouse models work from current operational data.
- Use Change Data Feed to propagate only changed rows to downstream apps instead of full-table scans.
- Sync stock levels and product data to e-commerce storefronts and a CRM so sales quotes reflect real availability.
- Push sale orders from a storefront or CRM into DEAR for fulfillment without manual re-entry.
Where DEAR Inventory runs operations: order and supply analysis
Operational records become queryable tables in Databricks, joinable with sales and finance data.
Group reporting across systems
Combine DEAR Inventory's records with data synced from other systems in Databricks for consolidated views no single system can produce.
Write-back where DEAR Inventory exposes writable fields
Classifications or reference values computed in Databricks sync back onto the corresponding records in DEAR Inventory.
What you can sync between Databricks and DEAR Inventory
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.
| Databricks objects | DEAR Inventory objects | |
|---|---|---|
| Materialized Views Precomputed results read on a schedule for reverse-ETL style syncs. | Purchase orders Supplier orders and receiving records synced with accounting and planning tools. | |
| Volumes Unity Catalog file storage used for staging bulk loads. | Customers Buyer records aligned with CRM and accounting counterparts. | |
| SQL Warehouses The compute endpoint a sync connects to for query execution. | Suppliers Vendor records referenced on purchase orders. | |
| Change Data Feed Row-level change records on Delta tables that drive incremental reads. | Stock adjustments and transfers Inventory movement transactions that explain changes in availability. | |
| Catalogs Top level of the Unity Catalog namespace, scoping which schemas a sync can address. | Assemblies / Production Bill-of-material and production records for light manufacturing workflows. | |
| Schemas Group tables and views; syncs typically target a dedicated schema per source system. | Locations Warehouses and bins that scope stock levels and fulfillment. |
What ships with Databricks ⇄ DEAR Inventory
Connect Databricks and DEAR Inventory for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Databricks–DEAR Inventory connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Databricks or DEAR Inventory 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 Databricks or DEAR Inventory record.
Observability
Monitoring
Track your Databricks ⇄ DEAR Inventory sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Databricks and DEAR Inventory.
How the Databricks and DEAR Inventory connectors work
Databricks
- Integration surface
- SQL over JDBC/ODBC via SQL warehouses, plus a REST API including statement execution
- Authentication
- Personal access tokens or OAuth machine-to-machine credentials for service principals
- Change detection
- Delta Lake Change Data Feed for row-level changes; otherwise incremental polling on watermark columns
- Capabilities
- read · write · CDC
- Rate limits
- Throughput depends on the SQL warehouse size; API calls are subject to workspace rate limits
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
How it works
How to connect Databricks to DEAR Inventory — 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 Databricks and DEAR Inventory with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Databricks
connected
DEAR Inventory
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Databricks and DEAR Inventory 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 · Databricks ⇄ DEAR InventoryCustomers 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.
Databricks DEAR InventoryCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Databricks and DEAR Inventory integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Databricks and DEAR Inventory: authenticate both systems, choose the objects to sync (such as Databricks's Materialized Views and Volumes), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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 Databricks and DEAR Inventory 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 Databricks and DEAR Inventory connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Databricks–DEAR Inventory integration in-house.
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Yes — Stacksync ships production-grade connectors for both Databricks and DEAR Inventory. 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 Databricks: Delta Lake Change Data Feed for row-level changes; otherwise incremental polling on watermark columns. On DEAR Inventory: Polling with modified-since filters; webhook notifications for sale and purchase events are available on subscriptions that include the Automation module. 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 Databricks side: Schemas, Delta Tables, Views, Materialized Views, plus custom fields where Databricks exposes them. On the DEAR Inventory side: Stock adjustments and transfers, Assemblies / Production, Locations, Products. Stacksync auto-detects both schemas and converts types between the two systems.
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 Databricks and DEAR Inventory.
Popular · 8 of 386
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Databricks ⇄ SAP Business One -
Databricks ⇄ Oracle Fusion ERP -
Databricks ⇄ Acumatica -
Databricks ⇄ SAP S/4HANA -
DEAR Inventory ⇄ Actian Vector -
DEAR Inventory ⇄ Amazon Redshift -
DEAR Inventory ⇄ Apache Doris -
DEAR Inventory ⇄ Apache Druid
No integrations match .
