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Data warehouse ⇄ ERP

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

Keep Apache Pinot and Snapfulfil 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 Snapfulfil

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

Stacksync syncs Sales orders, Purchase orders / ASNs, Items (SKUs), Inventory balances from Snapfulfil 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 Snapfulfil where that is useful.

Common use cases

  • Push reference and dimension data into Pinot via batch segment loads to enrich event queries.
  • Sync Pinot aggregates into a warehouse to join low-latency metrics with modeled historical data.
  • Push sales orders from an ERP or e-commerce platform into Snapfulfil for fulfillment without file drops
  • Sync shipment confirmations and tracking numbers back to the order management system as orders dispatch

Group reporting across systems

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

Write-back where Snapfulfil exposes writable fields

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

Where Snapfulfil 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 Snapfulfil

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 Snapfulfil objects
Schemas Column definitions (dimensions, metrics, time columns) mapped during integration setup. Shipments Dispatch confirmations with carrier and tracking details returned to the order source.
Segments Immutable data files that batch ingestion uploads and the cluster serves. Warehouse locations Bin and zone structure referenced by stock and movement records.
Real-time Tables Tables fed continuously from streams like Kafka, including upsert-enabled tables. Returns Inbound customer returns processed back into stock or quarantine.
Offline Tables Batch-loaded tables merged with real-time data at query time. Sales orders Orders pushed into the WMS for picking, packing, and dispatch.
Indexes Inverted, range, and star-tree indexes that determine which sync queries run at low latency. Purchase orders / ASNs Inbound expectations that drive receiving and putaway.
Tenants Logical groupings that isolate workloads on shared clusters. Items (SKUs) The item master, usually sourced from the ERP or storefront.
What ships with Apache Pinot ⇄ Snapfulfil

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Pinot or Snapfulfil 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 Snapfulfil record.

Observability

Monitoring

Track your Apache Pinot ⇄ Snapfulfil 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 Snapfulfil.

How the Apache Pinot and Snapfulfil 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

Snapfulfil

Integration surface
REST-style web service API
Authentication
API credentials issued for the warehouse instance
Change detection
Polling, subject to the platform's API rate limits
Capabilities
read · write
Rate limits
Specific quotas are not publicly standardized; treat throughput as instance-dependent
How it works

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

    Choose tables

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

Apache Pinot and Snapfulfil 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 Snapfulfil.

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