Two-way sync
Changes in Anaplan or Apache Cassandra instantly reflect in both systems. No stale data, no manual imports.
Keep Anaplan and Apache Cassandra 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 Cell Data, Models, Modules, Line Items from Anaplan into User-Defined Types, Collections, Counters, Keyspaces 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 Anaplan with validation, so the finance system stays the system of record.
Updates written to the synced tables in Apache Cassandra propagate into Anaplan, so automations can create or correct finance records without custom integration code.
Changes in Anaplan appear in Apache Cassandra as row changes, so you can trigger downstream logic with the database tooling you already use.
Customers, invoices, and payments from Anaplan live in Apache Cassandra as regular tables or collections your team can join, index, and query.
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.
| Anaplan objects | Apache Cassandra objects | |
|---|---|---|
| Modules Multidimensional grids of line items where plan data lives; the main read/write surface. | Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. | |
| Line Items The measures within a module, mapped to columns or metrics in syncs. | Secondary Indexes Optional indexes that allow filtered reads outside the partition key. | |
| Lists Dimension members (accounts, products, cost centers) synced from master data systems. | User-Defined Types Composite column types that syncs must flatten or map to structured fields. | |
| List Items Individual dimension members created or updated from external systems of record. | Collections List, set, and map columns handled with type-aware field mapping. | |
| Versions Scenario dimensions (actual, budget, forecast) that scope which slice a sync reads or writes. | Counters Increment-only counter columns, usually read-only in syncs. | |
| Import and Export Actions Predefined data-movement definitions the Bulk API executes. | Keyspaces Top-level namespaces with replication settings that scope a sync connection. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Anaplan–Apache Cassandra connection.
Changes in Anaplan or Apache Cassandra instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Anaplan or Apache Cassandra data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Anaplan or Apache Cassandra record.
Track your Anaplan ⇄ Apache Cassandra sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Anaplan and Apache Cassandra.
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 Anaplan and Apache Cassandra 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 Anaplan and Apache Cassandra 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 Anaplan and Apache Cassandra: authenticate both systems, choose the objects to sync (such as Anaplan's Modules and Line Items), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Anaplan side: Cell Data, Models, Modules, Line Items, plus custom fields where Anaplan exposes them. On the Apache Cassandra side: User-Defined Types, Collections, Counters, Keyspaces. 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 Anaplan and Apache Cassandra: Write back safely; React to financial events; Query finance data like any other data. Updates written to the synced tables in Apache Cassandra propagate into Anaplan, so automations can create or correct finance records without custom integration code.
Anaplan: REST APIs: a Bulk API that runs predefined import/export actions and a transactional API for model metadata and cell data. Authentication: Token-based sessions obtained via basic authentication, CA certificates, or OAuth 2.0 through Anaplan's authentication service. Apache Cassandra: CQL over the Cassandra native binary protocol. Authentication: Database credentials (password authenticator); TLS and role-based grants where configured. Stacksync manages authentication, retries, and rate limits on both sides.
Anaplan: Plan data lives in multidimensional modules of line items dimensioned by lists and versions, not in flat tables, so syncs map intersections rather than rows. Apache Cassandra: CDC is enabled per table and surfaces changes through commit-log segments, which is how log-based connectors consume Cassandra changes. Stacksync's field mapping accounts for these differences between Anaplan and Apache Cassandra without custom code.
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.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Anaplan and Apache Cassandra.