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Data warehouse ⇄ ERP

Databricks to Extensiv (3PL Central) integration — real-time, two-way sync

Keep Databricks and Extensiv (3PL Central) in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Databricks and Extensiv (3PL Central)

Put Extensiv (3PL Central)'s records in Databricks as live tables for reporting and analysis, without extract jobs, and write results back where Extensiv (3PL Central) 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 Extensiv (3PL Central) carries financials, operations, workforce data, or all three, the analysis belongs in Databricks next to everything else the company measures.

Stacksync syncs Warehouses, Inventory adjustments, Customers, Items from Extensiv (3PL Central) 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 Extensiv (3PL Central) where that is useful.

Common use cases

  • 01 Use Change Data Feed to propagate only changed rows to downstream apps instead of full-table scans.
  • 02 Serve ML feature outputs computed in Databricks to production apps through a synced operational store.
  • 03 Sync commerce or ERP orders into 3PL Central for fulfillment, and sync shipment confirmations with tracking numbers back.
  • 04 Keep item masters aligned between a merchant's ERP and the 3PL warehouse so receiving and picking use consistent SKUs.

Common sync patterns

Where Extensiv (3PL Central) holds the books: finance reporting from live data

Financial records land in Databricks as they change, so period-end reporting queries current numbers rather than last night's extract.

Where Extensiv (3PL Central) is the HR system of record: workforce analytics

Worker and organization data syncs into Databricks for headcount, cost, and planning analysis alongside other company data.

Where Extensiv (3PL Central) runs operations: order and supply analysis

Operational records become queryable tables in Databricks, joinable with sales and finance data.

What you can sync between Databricks and Extensiv (3PL Central)

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 Extensiv (3PL Central) objects How this pairing syncs
Schemas Group tables and views; syncs typically target a dedicated schema per source system. Receivers Inbound receiving records (receipts/ASNs) that confirm stock arrival back to purchasing systems. Schemas is specific to Databricks and Receivers to Extensiv (3PL Central) — each maps to any object or custom field on the other side.
Delta Tables The primary read and write target; operational data lands here as managed or external tables. Shipments Carrier and tracking details synced back once orders ship. Delta Tables is specific to Databricks and Shipments to Extensiv (3PL Central) — each maps to any object or custom field on the other side.
Views Curated read-only projections used as sync sources for downstream tools. Warehouses Facility records that partition inventory and order routing. Views is specific to Databricks and Warehouses to Extensiv (3PL Central) — each maps to any object or custom field on the other side.
Materialized Views Precomputed results read on a schedule for reverse-ETL style syncs. Inventory adjustments Manual stock corrections that reconciliation syncs need to capture. Materialized Views is specific to Databricks and Inventory adjustments to Extensiv (3PL Central) — each maps to any object or custom field on the other side.
Volumes Unity Catalog file storage used for staging bulk loads. Customers The 3PL's clients; nearly every other record is scoped to one, so syncs carry customer context on each call. Volumes is specific to Databricks and Customers to Extensiv (3PL Central) — each maps to any object or custom field on the other side.
SQL Warehouses The compute endpoint a sync connects to for query execution. Items SKU masters kept aligned between the merchant's systems and the warehouse. SQL Warehouses is specific to Databricks and Items to Extensiv (3PL Central) — each maps to any object or custom field on the other side.

How changes propagate between Databricks and Extensiv (3PL Central)

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

Databricks Extensiv (3PL Central) Sub-second propagation

DetectionChanges in Databricks are captured at the source via change data capture — no polling loop against its API. Delta Lake Change Data Feed for row-level changes.

DeliveryEach detected change is written to Extensiv (3PL Central) through its API, with automatic retries and rate-limit backoff.

Extensiv (3PL Central) Databricks Sub-second propagation

DetectionExtensiv (3PL Central) notifies Stacksync of record changes through webhook events. Webhook events for order, receipt, item, and inventory changes, with polling on modified-date filters as a fallback.

DeliveryEach detected change is applied to Databricks as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Databricks: Throughput depends on the SQL warehouse size; API calls are subject to workspace rate limits.
  • Extensiv (3PL Central): Subject to the platform's API rate limits; batch endpoints reduce call volume for order and inventory syncs.
What ships with Databricks ⇄ Extensiv (3PL Central)

Connect Databricks and Extensiv (3PL Central) for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Databricks–Extensiv (3PL Central) connection.

Real-time

Two-way sync

Changes in Databricks or Extensiv (3PL Central) instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Databricks or Extensiv (3PL Central) 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 Extensiv (3PL Central) record.

Observability

Monitoring

Track your Databricks ⇄ Extensiv (3PL Central) 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 Extensiv (3PL Central).

How the Databricks and Extensiv (3PL Central) 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

Extensiv (3PL Central)

Integration surface
REST API
Authentication
Short-lived access tokens obtained from integration client credentials (client ID and secret)
Change detection
Webhook events for order, receipt, item, and inventory changes, with polling on modified-date filters as a fallback
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's API rate limits; batch endpoints reduce call volume for order and inventory syncs
How it works

How to connect Databricks to Extensiv (3PL Central) — 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.

  1. 01

    Connect your apps

    Authenticate Databricks and Extensiv (3PL Central) with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Databricks connected
    Extensiv (3PL Central) connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Databricks and Extensiv (3PL Central) 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Databricks ⇄ Extensiv (3PL Central)
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Databricks Extensiv (3PL Central)
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Databricks and Extensiv (3PL Central) integration FAQ

SECURITY

Security teams trust 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.

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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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 449 integrations available for Databricks and Extensiv (3PL Central).

Popular · 7 of 449
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