Real-time
Two-way sync
Changes in Anaplan or Treasuredata instantly reflect in both systems. No stale data, no manual imports.
Accounting and finance ⇄ Analytics
Anaplan to Treasuredata integration — real-time, two-way sync
Keep Anaplan and Treasuredata 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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Why teams connect Anaplan and Treasuredata
Feed the customers, invoices, and revenue records in Anaplan into Treasuredata in real time, so dashboards and reports run on current numbers instead of last night's export.
Anaplan holds the financial truth: who the customers are, what they were invoiced, what they paid, and what revenue landed. Treasuredata is where that data is turned into dashboards, reports, and metrics, but it only reflects the world as of its last load. When the connection between them is a scheduled extract or a hand-built pipeline, analysis runs a step behind the books, and the numbers on a chart rarely match the numbers in the finance system.
Stacksync keeps Modules, Line Items, Lists, List Items in Anaplan in sync with Master (Parent) Segments, Segments, Journeys, Predictive Segments in Treasuredata, field by field and in real time. A customer, invoice, or amount created or corrected in Anaplan shows up in Treasuredata within seconds, mapped to the right record. Where Treasuredata keeps its own accounts or users, the flow runs both ways, so finance attributes can enrich what Treasuredata already tracks.
There is no middleware to build, no API rate limits to babysit, and no nightly job that leaves the morning's reporting running on yesterday's figures.
Common use cases
- 01 Load actuals from an ERP or warehouse into Anaplan modules so forecasts start from current financials.
- 02 Sync CRM pipeline data into Anaplan for sales capacity and quota planning.
- 03 Write CRM and product-usage records into TD Tables so they become source tables feeding parent-segment unification.
- 04 Push Predictive Segment propensity scores from TD onto customer records in an operational database or CRM for prioritization and lead routing.
Common sync patterns
Reports refresh as the books change
Instead of waiting for a scheduled load, Treasuredata updates the moment a figure moves in Anaplan, so a dashboard opened at any point in the day is current.
Where Treasuredata keeps account or user records: finance attributes enrich them
Status, plan, or outstanding balance from Anaplan attaches to the matching account or user in Treasuredata, so segments and cohorts can be cut by real financial standing.
Financial records land in Treasuredata for reporting
Invoices, payments, and revenue from Anaplan flow into Treasuredata as they change, so dashboards are built on live figures rather than a periodic extract.
What you can sync between Anaplan and Treasuredata
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 | Treasuredata objects | How this pairing syncs | |
|---|---|---|---|
| Line Items The measures within a module, mapped to columns or metrics in syncs. | Predictive Segments AI/ML-scored segments; propensity scores read out and written onto customer records in a CRM or database for prioritization. | Line Items is specific to Anaplan and Predictive Segments to Treasuredata — each maps to any object or custom field on the other side. | |
| Lists Dimension members (accounts, products, cost centers) synced from master data systems. | Scheduled Queries Cron-scheduled Presto/Trino (or Hive) jobs that materialize results into result tables; Stacksync reads those materialized tables downstream. | Lists is specific to Anaplan and Scheduled Queries to Treasuredata — each maps to any object or custom field on the other side. | |
| List Items Individual dimension members created or updated from external systems of record. | Query Jobs Ad-hoc Presto/Trino query jobs run asynchronously; results are retrieved from the job result endpoint and fed into downstream systems. | List Items is specific to Anaplan and Query Jobs to Treasuredata — 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. | Databases Logical containers for tables; a sync targets one database and maps its tables to warehouse or operational-DB tables. | Versions is specific to Anaplan and Databases to Treasuredata — each maps to any object or custom field on the other side. | |
| Import and Export Actions Predefined data-movement definitions the Bulk API executes. | Tables Columnar log tables in TD's Plazma storage; every row carries a mandatory `time` column (Unix epoch) that Stacksync uses as the incremental watermark and partition key. Synced two-way with warehouse or database tables. | Import and Export Actions is specific to Anaplan and Tables to Treasuredata — each maps to any object or custom field on the other side. | |
| Processes Ordered bundles of actions run as a unit during scheduled syncs. | Master (Parent) Segments Unified customer profiles assembled from multiple source tables in Audience Studio; read out to push enriched attributes onto CRM or warehouse records. | Processes is specific to Anaplan and Master (Parent) Segments to Treasuredata — each maps to any object or custom field on the other side. |
How changes propagate between Anaplan and Treasuredata
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 Treasuredata 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 written to Treasuredata through its API, with automatic retries and rate-limit backoff.
Treasuredata Anaplan Interval-based propagation
DetectionStacksync polls Treasuredata for changes on an incremental schedule, reading only records changed since the previous pass. Polling on the mandatory `time` column (Unix-epoch partition key) or an updated-at column.
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.
- Treasuredata: TD does not publish a fixed request-per-second cap; query throughput is bounded by the account's compute resource pool and large reads/exports run as asynchronous jobs.
What ships with Anaplan ⇄ Treasuredata
Connect Anaplan and Treasuredata for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Anaplan–Treasuredata connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Anaplan or Treasuredata 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 Treasuredata record.
Observability
Monitoring
Track your Anaplan ⇄ Treasuredata 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 Treasuredata.
How the Anaplan and Treasuredata 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
Treasuredata
- Integration surface
- TD API v3 (REST) for databases, tables, and jobs, plus the Audience API (REST) for CDP segments and journeys
- Authentication
- API key sent as an `Authorization: TD1 <api_key>` header (per-user or account key from the TD Console); requests go to the region-specific endpoint (e.g. api.treasuredata.com for US, with separate EU and Tokyo endpoints)
- Change detection
- Polling on the mandatory `time` column (Unix-epoch partition key) or an updated-at column; TD stores append-oriented columnar data with no per-row CDC stream, so incremental syncs query for rows past a stored watermark
- Capabilities
- read · write
- Rate limits
- TD does not publish a fixed request-per-second cap; query throughput is bounded by the account's compute resource pool and large reads/exports run as asynchronous jobs
How it works
How to connect Anaplan to Treasuredata — 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 Treasuredata 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
Treasuredata
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Anaplan and Treasuredata 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 ⇄ TreasuredataCustomers 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 TreasuredataCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Anaplan and Treasuredata integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Anaplan and Treasuredata: authenticate both systems, choose the objects to sync (such as Anaplan's Line Items and Lists), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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 Treasuredata: Reports refresh as the books change; Where Treasuredata keeps account or user records: finance attributes enrich them; Financial records land in Treasuredata for reporting. Instead of waiting for a scheduled load, Treasuredata updates the moment a figure moves in Anaplan, so a dashboard opened at any point in the day is current.
-
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. Treasuredata: TD API v3 (REST) for databases, tables, and jobs, plus the Audience API (REST) for CDP segments and journeys. Authentication: API key sent as an `Authorization: TD1 <api_key>` header (per-user or account key from the TD Console); requests go to the region-specific endpoint (e.g. api.treasuredata.com for US, with separate EU and Tokyo endpoints). Stacksync manages authentication, retries, and rate limits on both sides.
-
Anaplan: The transactional API allows reading model metadata and reading or writing individual cell values without a full import. Treasuredata: Queries run as asynchronous jobs on Presto/Trino or Hive; large reads and exports are pulled from job results rather than a single synchronous response. Stacksync's field mapping accounts for these differences between Anaplan and Treasuredata 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 Treasuredata records are not retained after a sync operation.
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:
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