Two-way sync
Changes in Apache Cassandra or Zuora instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Cassandra and Zuora in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Engineers need finance data more often than finance systems make it easy to get: for internal tools, reporting services, or logic that reacts to invoices and payments. Working through the vendor API means rate limits, pagination, and glue code that has to be maintained forever.
Stacksync mirrors Rate Plan and Rate Plan Charge, Product and Product Rate Plan (Product Catalog), Invoice, Payment from Zuora into Keyspaces, Tables, Partitions and Rows, Materialized Views in Apache Cassandra and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against Apache Cassandra, and rows your code writes or updates flow back into Zuora with validation, so the finance system stays the system of record.
Customers, invoices, and payments from Zuora live in Apache Cassandra as regular tables or collections your team can join, index, and query.
Build dashboards and back-office tools directly on Apache Cassandra; Stacksync handles the API calls, rate limits, and retries against Zuora.
Updates written to the synced tables in Apache Cassandra propagate into Zuora, so automations can create or correct finance records without custom integration code.
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 | Zuora objects | How this pairing syncs | |
|---|---|---|---|
| Collections List, set, and map columns handled with type-aware field mapping. | Product and Product Rate Plan (Product Catalog) The catalog of sellable products and their pricing; usually mastered elsewhere and written into Zuora, or read to map subscription charges. | Collections is specific to Apache Cassandra and Product and Product Rate Plan (Product Catalog) to Zuora — each maps to any object or custom field on the other side. | |
| Counters Increment-only counter columns, usually read-only in syncs. | Invoice Billing documents generated from rate plan charges and order line items; typically read out into an ERP or GL for revenue recognition and reconciliation. | Counters is specific to Apache Cassandra and Invoice to Zuora — each maps to any object or custom field on the other side. | |
| Keyspaces Top-level namespaces with replication settings that scope a sync connection. | Payment Payment and refund transactions applied against invoices; read for cash application, dunning, and reconciliation reporting in the warehouse. | Keyspaces is specific to Apache Cassandra and Payment to Zuora — 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. | Usage Metered consumption records; written into Zuora from a metering or warehouse pipeline so consumption-based charges are rated and invoiced. | Tables is specific to Apache Cassandra and Usage to Zuora — 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. | Order and Amendment Records of subscription create and change actions; written to Zuora to drive quote-to-cash and read for subscription change history. | Partitions and Rows is specific to Apache Cassandra and Order and Amendment to Zuora — 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. | Account (Billing Account) The customer billing entity holding contacts, payment methods, and billing settings; synced two-way as the parent record most other Zuora objects hang off. | Materialized Views is specific to Apache Cassandra and Account (Billing Account) to Zuora — each maps to any object or custom field on the other side. |
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.
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.
DeliveryEach detected change is written to Zuora through its API, with automatic retries and rate-limit backoff.
DetectionZuora notifies Stacksync of record changes through webhook events. Incremental extraction on the indexed UpdatedDate column via ZOQL/AQuA stateful mode (high-water mark), plus Callout Notifications (webhooks) for.
DeliveryEach detected change is written to Apache Cassandra through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–Zuora connection.
Changes in Apache Cassandra or Zuora instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Cassandra or Zuora data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Apache Cassandra or Zuora record.
Track your Apache Cassandra ⇄ Zuora sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Cassandra and Zuora.
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.
Authenticate Apache Cassandra and Zuora with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Apache Cassandra and Zuora 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Apache Cassandra and Zuora: authenticate both systems, choose the objects to sync (such as Apache Cassandra's Collections and Counters), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Apache Cassandra: Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns. On Zuora: Incremental extraction on the indexed UpdatedDate column via ZOQL/AQuA stateful mode (high-water mark), plus Callout Notifications (webhooks) for event-driven changes. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Zuora side: Rate Plan and Rate Plan Charge, Product and Product Rate Plan (Product Catalog), Invoice, Payment, plus custom fields where Zuora exposes them. On the Apache Cassandra side: Keyspaces, Tables, Partitions and Rows, Materialized Views. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Apache Cassandra and Zuora: Query finance data like any other data; Internal tools without API plumbing; Write back safely. Customers, invoices, and payments from Zuora live in Apache Cassandra as regular tables or collections your team can join, index, and query.
Apache Cassandra: CQL over the Cassandra native binary protocol. Authentication: Database credentials (password authenticator); TLS and role-based grants where configured. Zuora: REST API (v1) with Object Query, Data Query, and AQuA bulk export; legacy SOAP API also available. Authentication: OAuth 2.0 client credentials (bearer token, 3600s expiry); access is governed by the Zuora role of the OAuth client's associated user, with no granular scopes. Stacksync manages authentication, retries, and rate limits on both sides.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
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Every pair below is a real-time, two-way sync. Search all 425 integrations available for Apache Cassandra and Zuora.