Real-time
Two-way sync
Changes in Apache Cassandra or Deposco instantly reflect in both systems. No stale data, no manual imports.
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Database ⇄ ERP
Apache Cassandra to Deposco integration — real-time, two-way sync
Keep Apache Cassandra and Deposco 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
Case study
Migrated from Mulesoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Apache Cassandra and Deposco
Give your engineers Deposco'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 Customers, Items / SKUs, Inventory, Sales orders from Deposco into Apache Cassandra and keeps both sides consistent in real time. Whatever Deposco 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 Deposco with its validations respected.
Common use cases
- Sync customer profile data between Cassandra and a CRM so operational apps and sales tools agree.
- Write attributes computed elsewhere (scores, preferences) back into Cassandra tables serving low-latency reads.
- Land fulfillment and shipment data in a warehouse for SLA, carrier, and throughput reporting.
- Sync order status and shipment tracking from Deposco back to a CRM or customer portal so support sees fulfillment state.
Where Deposco is the HR system of record: people data for internal systems
Worker and org records stay current in Apache Cassandra for provisioning, access, and reporting systems that read from the database.
Controlled write-back
Choose exactly which tables and fields may flow from Apache Cassandra back into Deposco, keeping the ERP authoritative.
Read ERP records with a query
Records from Deposco live in Apache Cassandra as ordinary tables or collections, joinable with the rest of your data.
What you can sync between Apache Cassandra and Deposco
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 | Deposco objects | |
|---|---|---|
| User-Defined Types Composite column types that syncs must flatten or map to structured fields. | Warehouses / Locations Facility and bin structures that scope inventory records. | |
| Collections List, set, and map columns handled with type-aware field mapping. | Customers Ship-to parties referenced on orders and shipments. | |
| Counters Increment-only counter columns, usually read-only in syncs. | Items / SKUs Product master records that fulfillment operations pick and ship against. | |
| Keyspaces Top-level namespaces with replication settings that scope a sync connection. | Inventory On-hand and available quantities by warehouse and location, read frequently by storefront syncs. | |
| Tables Wide-column tables addressed by partition key, the unit of row-level sync. | Sales orders Orders flowing in from ERP or e-commerce systems for fulfillment. | |
| Partitions and Rows Records located by partition and clustering keys during reads and upserts. | Shipments Outbound shipment and tracking records synced back to order-origin systems. |
What ships with Apache Cassandra ⇄ Deposco
Connect Apache Cassandra and Deposco for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–Deposco connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Apache Cassandra or Deposco 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 Deposco record.
Observability
Monitoring
Track your Apache Cassandra ⇄ Deposco 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 Deposco.
How the Apache Cassandra and Deposco 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
Deposco
- Integration surface
- REST API plus file-based interfaces (EDI and flat file) common to WMS integrations
- Authentication
- API credentials issued per integration (API key or basic authentication)
- Change detection
- Polling on order and inventory endpoints, subject to the platform's integration patterns
- Capabilities
- read · write
- Rate limits
- Subject to the platform's API rate limits
How it works
How to connect Apache Cassandra to Deposco — 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 Deposco 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
Deposco
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Apache Cassandra and Deposco 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 ⇄ DeposcoCustomers 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 DeposcoCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Apache Cassandra and Deposco integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Apache Cassandra and Deposco: authenticate both systems, choose the objects to sync (such as Apache Cassandra's User-Defined Types and Collections), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Apache Cassandra: Consistency is tunable per operation (for example ONE, QUORUM, ALL), letting syncs trade latency against read/write guarantees. Deposco: Integration runs through Deposco's Bright Socket layer, which combines API access with EDI and file-based data exchange for trading partners and carriers, as is typical for warehouse management systems. Stacksync's field mapping accounts for these differences between Apache Cassandra and Deposco 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 Deposco 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 Deposco connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Cassandra–Deposco integration in-house.
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Yes — Stacksync ships production-grade connectors for both Apache Cassandra and Deposco. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Apache Cassandra: Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns. On Deposco: Polling on order and inventory endpoints, subject to the platform's integration patterns. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 Deposco.
Popular · 8 of 386
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Apache Cassandra ⇄ Fishbowl Manufacturing -
Apache Cassandra ⇄ Global Shop Solutions -
Apache Cassandra ⇄ Infor CloudSuite - Apache Cassandra ⇄ Infor LN
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Deposco ⇄ DuckDB -
Deposco ⇄ Elasticsearch -
Deposco ⇄ Google Cloud Spanner - Deposco ⇄ Google Cloud SQL
No integrations match .
