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Database ⇄ ERP

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

Keep Apache Cassandra 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.

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  • 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 Cassandra and Snapfulfil

Give your engineers Snapfulfil's data in Apache Cassandra: read it with normal queries, write back through the sync, and skip the ERP API entirely.

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 Inventory balances, Shipments, Warehouse locations, Returns from Snapfulfil into Apache Cassandra and keeps both sides consistent in real time. Whatever Snapfulfil is the system of record for, whether financials, operations, people, or procurement, those records become rows your code can query, and changes written in Apache Cassandra sync back into Snapfulfil with its validations respected.

Common use cases

  • Consolidate data from multiple keyspaces or clusters into one reporting store.
  • Replicate high-volume event or profile tables from Cassandra into a warehouse for analytics that CQL cannot express.
  • Keep inventory balances aligned between the WMS, the ERP, and selling channels to prevent oversells
  • Sync the item master from the ERP so new SKUs are receivable in the warehouse immediately

Controlled write-back

Choose exactly which tables and fields may flow from Apache Cassandra back into Snapfulfil, keeping the ERP authoritative.

Read ERP records with a query

Records from Snapfulfil live in Apache Cassandra as ordinary tables or collections, joinable with the rest of your data.

Internal tools and automations without API code

Scripts and services read and write the synced tables; Stacksync handles the Snapfulfil interface, limits, and retries.

What you can sync between Apache Cassandra 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 Cassandra objects Snapfulfil objects
Tables Wide-column tables addressed by partition key, the unit of row-level sync. Returns Inbound customer returns processed back into stock or quarantine.
Partitions and Rows Records located by partition and clustering keys during reads and upserts. Sales orders Orders pushed into the WMS for picking, packing, and dispatch.
Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. Purchase orders / ASNs Inbound expectations that drive receiving and putaway.
Secondary Indexes Optional indexes that allow filtered reads outside the partition key. Items (SKUs) The item master, usually sourced from the ERP or storefront.
User-Defined Types Composite column types that syncs must flatten or map to structured fields. Inventory balances On-hand and allocated stock, read back to keep the ERP and selling channels accurate.
Collections List, set, and map columns handled with type-aware field mapping. Shipments Dispatch confirmations with carrier and tracking details returned to the order source.
What ships with Apache Cassandra ⇄ Snapfulfil

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Cassandra 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 Cassandra or Snapfulfil record.

Observability

Monitoring

Track your Apache Cassandra ⇄ 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 Cassandra and Snapfulfil.

How the Apache Cassandra and Snapfulfil connectors work

Apache Cassandra

Integration surface
CQL over the Cassandra native binary protocol
Authentication
Database credentials (password authenticator); TLS and role-based grants where configured
Change detection
Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns
Capabilities
read · write · CDC
Rate limits
No API quotas; throughput is governed by cluster capacity and consistency-level choices

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 Cassandra 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 Cassandra 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 Cassandra connected
    Snapfulfil connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Apache Cassandra 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.

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 Apache Cassandra and Snapfulfil.

Popular · 8 of 386
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