Real-time
Two-way sync
Changes in Anaplan or Apache Pinot instantly reflect in both systems. No stale data, no manual imports.
Accounting and finance ⇄ Data warehouse
Anaplan to Apache Pinot integration — real-time, two-way sync
Keep Anaplan and Apache Pinot 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
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Migrated from MuleSoft
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Anaplan and Apache Pinot
Land the financial records from Anaplan in Apache Pinot continuously, and write results back, without building or maintaining a pipeline.
Finance data belongs in the warehouse: revenue, invoices, payments, and customers joined with everything else the business measures. Getting it there usually means an extraction pipeline that breaks quietly and delivers yesterday's numbers.
Stacksync syncs Cell Data, Models, Modules, Line Items from Anaplan into tables in Apache Pinot in real time, and the connection works in both directions: values computed in Apache Pinot can be written back to fields in Anaplan where you want them operational. Schema changes are handled, API limits are managed, and the sync is something you configure rather than code you maintain.
Common use cases
- 01 Keep dimension lists (products, cost centers, territories) aligned with master data systems of record.
- 02 Export forecast versions to a warehouse for variance reporting against actuals.
- 03 Push reference and dimension data into Pinot via batch segment loads to enrich event queries.
- 04 Sync Pinot aggregates into a warehouse to join low-latency metrics with modeled historical data.
Common sync patterns
Write-back of computed fields
Scores or segments computed in Apache Pinot, like payment-risk flags or customer tiers, sync back onto records in Anaplan where the finance team can act on them.
Queryable history for audit and reconciliation
A continuously synced copy in Apache Pinot gives you a durable, queryable record of financial data for month-end and audit questions.
Finance analytics without ETL
Invoices, payments, and customer records from Anaplan arrive in Apache Pinot as queryable tables, current within seconds instead of a day behind.
What you can sync between Anaplan and Apache Pinot
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 Pinot objects | How this pairing syncs | |
|---|---|---|---|
| List Items Individual dimension members created or updated from external systems of record. | Schemas Column definitions (dimensions, metrics, time columns) mapped during integration setup. | List Items is specific to Anaplan and Schemas to Apache Pinot — each maps to any object or custom field on the other side. | |
| Versions Scenario dimensions (actual, budget, forecast) that scope which slice a sync reads or writes. | Segments Immutable data files that batch ingestion uploads and the cluster serves. | Versions is specific to Anaplan and Segments to Apache Pinot — each maps to any object or custom field on the other side. | |
| Import and Export Actions Predefined data-movement definitions the Bulk API executes. | Real-time Tables Tables fed continuously from streams like Kafka, including upsert-enabled tables. | Import and Export Actions is specific to Anaplan and Real-time Tables to Apache Pinot — each maps to any object or custom field on the other side. | |
| Processes Ordered bundles of actions run as a unit during scheduled syncs. | Offline Tables Batch-loaded tables merged with real-time data at query time. | Processes is specific to Anaplan and Offline Tables to Apache Pinot — each maps to any object or custom field on the other side. | |
| Cell Data Individual intersections readable and writable through the transactional API. | Indexes Inverted, range, and star-tree indexes that determine which sync queries run at low latency. | Cell Data is specific to Anaplan and Indexes to Apache Pinot — each maps to any object or custom field on the other side. | |
| Models The planning workspaces that contain all data; syncs target a specific model. | Tenants Logical groupings that isolate workloads on shared clusters. | Models is specific to Anaplan and Tenants to Apache Pinot — each maps to any object or custom field on the other side. |
How changes propagate between Anaplan and Apache Pinot
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.
Anaplan Apache Pinot Interval-based propagation
DetectionStacksync polls Anaplan for changes on an incremental schedule, reading only records changed since the previous pass. Polling and scheduled export actions.
DeliveryEach detected change is applied to Apache Pinot as a row-level write, with types converted between the two schemas.
Apache Pinot Anaplan Interval-based propagation
DetectionStacksync polls Apache Pinot for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Pinot via streaming ingestion or segment upload, not row-level writes.
DeliveryEach detected change is written to Anaplan through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Anaplan: Subject to the platform's API rate limits; large data movements are designed to run through bulk actions.
- Apache Pinot: No fixed API quotas; query throughput depends on broker and server sizing.
What ships with Anaplan ⇄ Apache Pinot
Connect Anaplan and Apache Pinot for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Anaplan–Apache Pinot connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Anaplan or Apache Pinot 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 Anaplan or Apache Pinot record.
Observability
Monitoring
Track your Anaplan ⇄ Apache Pinot sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Anaplan and Apache Pinot.
How the Anaplan and Apache Pinot connectors work
Anaplan
- Integration surface
- 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
- Change detection
- Polling and scheduled export actions; the platform does not expose change events
- Capabilities
- read · write
- Rate limits
- Subject to the platform's API rate limits; large data movements are designed to run through bulk actions
Apache Pinot
- Integration surface
- REST API (SQL queries via the broker; administration via the controller); JDBC client available
- Authentication
- Deployment-dependent: HTTP basic authentication or token-based auth where enabled
- Change detection
- Not applicable for reads out (polling by time column); data enters Pinot via streaming ingestion or segment upload, not row-level writes
- Capabilities
- read · write
- Rate limits
- No fixed API quotas; query throughput depends on broker and server sizing
How it works
How to connect Anaplan to Apache Pinot — 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 Anaplan and Apache Pinot with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Anaplan
connected
Apache Pinot
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Anaplan and Apache Pinot 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 · Anaplan ⇄ Apache PinotCustomers 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.
Anaplan Apache PinotCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Anaplan and Apache Pinot integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Anaplan and Apache Pinot: authenticate both systems, choose the objects to sync (such as Anaplan's List Items and Versions), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Anaplan: The transactional API allows reading model metadata and reading or writing individual cell values without a full import. Apache Pinot: Data is stored in immutable segments; batch writes happen by building and uploading segments rather than issuing row inserts. Stacksync's field mapping accounts for these differences between Anaplan and Apache Pinot 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 Anaplan and Apache Pinot 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 Anaplan and Apache Pinot connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Anaplan–Apache Pinot integration in-house.
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Yes — Stacksync ships production-grade connectors for both Anaplan and Apache Pinot. 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 Anaplan: Polling and scheduled export actions; the platform does not expose change events. On Apache Pinot: Not applicable for reads out (polling by time column); data enters Pinot via streaming ingestion or segment upload, not row-level writes. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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
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
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