Real-time
Real-time sync
Changes in Apache Cassandra or E2 Shop System instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ ERP
Apache Cassandra to E2 Shop System integration — real-time data sync
Keep Apache Cassandra and E2 Shop System 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 Apache Cassandra and E2 Shop System
Give your engineers E2 Shop System's data in Apache Cassandra: read it with normal queries, write back through the sync, and skip the ERP API entirely.
E2 Shop System is a read-only source: Stacksync reads its data in real time and delivers it into Apache Cassandra, so Apache Cassandra always reflects the current state of E2 Shop System — without exports, scripts, or schedulers.
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 Invoices, Quotes / Estimates, Jobs / Work orders, Customers from E2 Shop System into Apache Cassandra and keeps both sides consistent in real time. Whatever E2 Shop System 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 E2 Shop System with its validations respected.
Common use cases
- 01 Replicate high-volume event or profile tables from Cassandra into a warehouse for analytics that CQL cannot express.
- 02 Sync customer profile data between Cassandra and a CRM so operational apps and sales tools agree.
- 03 Replicate job and work order status into a reporting database to power shop-floor and delivery dashboards.
- 04 Sync customer and invoice data to accounting or CRM so the front office is not re-keying from the ERP.
Common sync patterns
Read ERP records with a query
Records from E2 Shop System 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 E2 Shop System interface, limits, and retries.
React to ERP changes
Updates in E2 Shop System arrive as row changes in Apache Cassandra, so jobs and triggers can respond as the business record changes.
What you can sync between Apache Cassandra and E2 Shop System
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 | E2 Shop System objects | How this pairing syncs | |
|---|---|---|---|
| Collections List, set, and map columns handled with type-aware field mapping. | Jobs / Work orders Released work with routings and status; the record shop-floor dashboards track. | Collections is specific to Apache Cassandra and Jobs / Work orders to E2 Shop System — each maps to any object or custom field on the other side. | |
| Counters Increment-only counter columns, usually read-only in syncs. | Customers Buyer records synced to CRM or accounting counterparts. | Counters is specific to Apache Cassandra and Customers to E2 Shop System — each maps to any object or custom field on the other side. | |
| Keyspaces Top-level namespaces with replication settings that scope a sync connection. | Vendors Supplier records referenced on purchasing documents. | Keyspaces is specific to Apache Cassandra and Vendors to E2 Shop System — each maps to any object or custom field on the other side. | |
| Tables Wide-column tables addressed by partition key, the unit of row-level sync. | Parts Part masters with routings and material definitions specific to each shop. | Tables is specific to Apache Cassandra and Parts to E2 Shop System — each maps to any object or custom field on the other side. | |
| Partitions and Rows Records located by partition and clustering keys during reads and upserts. | Routings / Operations Per-part operation sequences that carry estimated and actual times. | Partitions and Rows is specific to Apache Cassandra and Routings / Operations to E2 Shop System — each maps to any object or custom field on the other side. | |
| Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. | Purchase orders Outside material and service purchases tied to jobs. | Materialized Views is specific to Apache Cassandra and Purchase orders to E2 Shop System — each maps to any object or custom field on the other side. |
How changes propagate between Apache Cassandra and E2 Shop System
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.
Apache Cassandra E2 Shop System Sub-second propagation
DetectionChanges in Apache Cassandra are captured at the source via change data capture — no polling loop against its API. Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns.
DeliveryE2 Shop System does not accept inbound record writes, so this direction carries requests rather than records: E2 Shop System's output flows back as field updates on the originating Apache Cassandra records.
E2 Shop System Apache Cassandra Interval-based propagation
DetectionStacksync polls E2 Shop System for changes on an incremental schedule, reading only records changed since the previous pass. Polling database tables or scheduled exports.
DeliveryEach detected change is written to Apache Cassandra through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Apache Cassandra: No API quotas; throughput is governed by cluster capacity and consistency-level choices.
- E2 Shop System: Not API-bound; constrained by on-premises database access windows.
What ships with Apache Cassandra ⇄ E2 Shop System
Connect Apache Cassandra and E2 Shop System for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–E2 Shop System connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Apache Cassandra or E2 Shop System 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 E2 Shop System record.
Observability
Monitoring
Track your Apache Cassandra ⇄ E2 Shop System 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 E2 Shop System.
How the Apache Cassandra and E2 Shop System 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
E2 Shop System
- Integration surface
- No broadly documented public web API; integration typically works through the underlying database or application import/export, depending on deployment
- Authentication
- Database credentials or application-level export access on the on-premises installation
- Change detection
- Polling database tables or scheduled exports
- Capabilities
- read
- Rate limits
- Not API-bound; constrained by on-premises database access windows
How it works
How to connect Apache Cassandra to E2 Shop System — 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 Apache Cassandra and E2 Shop System with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Apache Cassandra
connected
E2 Shop System
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Apache Cassandra and E2 Shop System 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 · Apache Cassandra ⇄ E2 Shop SystemCustomers 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.
Apache Cassandra E2 Shop SystemCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Apache Cassandra and E2 Shop System integration FAQ
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Yes. Stacksync provides a managed, real-time integration between Apache Cassandra and E2 Shop System — E2 Shop System is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
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Apache Cassandra: CQL over the Cassandra native binary protocol. Authentication: Database credentials (password authenticator); TLS and role-based grants where configured. E2 Shop System: No broadly documented public web API; integration typically works through the underlying database or application import/export, depending on deployment. Authentication: Database credentials or application-level export access on the on-premises installation. Stacksync manages authentication, retries, and rate limits on both sides.
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Apache Cassandra: Consistency is tunable per operation (for example ONE, QUORUM, ALL), letting syncs trade latency against read/write guarantees. E2 Shop System: Installations store data in Microsoft Access or Microsoft SQL Server databases depending on size, which is why integrations typically read the database directly. Stacksync's field mapping accounts for these differences between Apache Cassandra and E2 Shop System without custom code.
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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 Apache Cassandra and E2 Shop System 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 Apache Cassandra and E2 Shop System connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Cassandra–E2 Shop System integration in-house.
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Yes — Stacksync ships production-grade connectors for both Apache Cassandra and E2 Shop System. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
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→ 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
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