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Data warehouse ⇄ ERP

Apache Pinot to Linnworks integration — real-time, two-way sync

Keep Apache Pinot and Linnworks 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

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Why teams connect Apache Pinot and Linnworks

Put Linnworks's records in Apache Pinot as live tables for reporting and analysis, without extract jobs, and write results back where Linnworks 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 Linnworks carries financials, operations, workforce data, or all three, the analysis belongs in Apache Pinot next to everything else the company measures.

Stacksync syncs Suppliers, Channel Listings, Returns & Refunds, Shipping Services from Linnworks into tables in Apache Pinot continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Apache Pinot can be written back to fields in Linnworks where that is useful.

Common use cases

  • Query per-account usage metrics from Pinot and sync them into CRM fields so sales sees product activity.
  • Push reference and dimension data into Pinot via batch segment loads to enrich event queries.
  • Mirror processed orders, refunds, and returns into a warehouse for margin reporting across channels
  • Sync product and listing data with a PIM so channel listings stay aligned with the catalog

Group reporting across systems

Combine Linnworks's records with data synced from other systems in Apache Pinot for consolidated views no single system can produce.

Write-back where Linnworks exposes writable fields

Classifications or reference values computed in Apache Pinot sync back onto the corresponding records in Linnworks.

Where Linnworks holds the books: finance reporting from live data

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

What you can sync between Apache Pinot and Linnworks

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.

Apache Pinot objects Linnworks objects
Indexes Inverted, range, and star-tree indexes that determine which sync queries run at low latency. Purchase Orders Replenishment POs sync with suppliers and accounting systems.
Tenants Logical groupings that isolate workloads on shared clusters. Suppliers Vendor records keep procurement data consistent across tools.
Tables The queryable unit, defined as offline, real-time, or hybrid; the main read target. Channel Listings Marketplace and webstore listing mappings tie channel products to internal SKUs.
Schemas Column definitions (dimensions, metrics, time columns) mapped during integration setup. Returns & Refunds Post-sale records flow to finance and support systems.
Segments Immutable data files that batch ingestion uploads and the cluster serves. Shipping Services Carrier and service definitions support label and tracking data in order syncs.
Real-time Tables Tables fed continuously from streams like Kafka, including upsert-enabled tables. Open Orders Unshipped orders aggregated from sales channels sync into ERPs and fulfillment systems.
What ships with Apache Pinot ⇄ Linnworks

Connect Apache Pinot and Linnworks for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Pinot–Linnworks connection.

Real-time

Two-way sync

Changes in Apache Pinot or Linnworks instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Pinot or Linnworks 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 Apache Pinot or Linnworks record.

Observability

Monitoring

Track your Apache Pinot ⇄ Linnworks sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Apache Pinot and Linnworks.

How the Apache Pinot and Linnworks connectors work

Apache Pinot

Integration surface
REST API (SQL queries via the broker; administration via the controller); JDBC client available
Authentication
Deployment-dependent: HTTP basic authentication or token-based auth where enabled
Change detection
Not applicable for reads out (polling by time column); data enters Pinot via streaming ingestion or segment upload, not row-level writes
Capabilities
read · write
Rate limits
No fixed API quotas; query throughput depends on broker and server sizing

Linnworks

Integration surface
REST API
Authentication
Application credentials and an install token exchanged for a session token
Change detection
Polling on order and stock endpoints
Capabilities
read · write
Rate limits
Per-endpoint rate limits apply on the Linnworks API
How it works

How to connect Apache Pinot to Linnworks — 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 Apache Pinot and Linnworks 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
    Apache Pinot connected
    Linnworks connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Pinot and Linnworks 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 · Apache Pinot ⇄ Linnworks
    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
    Apache Pinot Linnworks
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Pinot and Linnworks integration FAQ

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.

Learn more about security
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:

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 386 integrations available for Apache Pinot and Linnworks.

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