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Accounting and finance ⇄ Data warehouse

Anaplan to Dremio integration — real-time, two-way sync

Keep Anaplan and Dremio in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Anaplan and Dremio

Land the financial records from Anaplan in Dremio 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 Modules, Line Items, Lists, List Items from Anaplan into tables in Dremio in real time, and the connection works in both directions: values computed in Dremio 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 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 Consolidate data from multiple lake sources through one Dremio semantic layer into a single warehouse target.
  • 04 Sync curated Dremio views into an operational Postgres so applications get low-latency access to lakehouse data.

Common sync patterns

Finance analytics without ETL

Invoices, payments, and customer records from Anaplan arrive in Dremio as queryable tables, current within seconds instead of a day behind.

Revenue joined with everything else

Analysts combine Anaplan's financial records with product, marketing, or operational data already in Dremio for reporting the finance system cannot do alone.

Write-back of computed fields

Scores or segments computed in Dremio, like payment-risk flags or customer tiers, sync back onto records in Anaplan where the finance team can act on them.

What you can sync between Anaplan and Dremio

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 Dremio objects How this pairing syncs
Lists Dimension members (accounts, products, cost centers) synced from master data systems. Spaces and folders Namespaces that organize virtual datasets and govern access. Lists is specific to Anaplan and Spaces and folders to Dremio — 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. Reflections Materialized accelerations that make repeated extraction queries cheaper. List Items is specific to Anaplan and Reflections to Dremio — 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. Jobs Query execution records useful for monitoring sync workloads. Versions is specific to Anaplan and Jobs to Dremio — each maps to any object or custom field on the other side.
Import and Export Actions Predefined data-movement definitions the Bulk API executes. Sources Connected storage and database systems (S3, ADLS, relational databases) Dremio queries in place. Import and Export Actions is specific to Anaplan and Sources to Dremio — each maps to any object or custom field on the other side.
Processes Ordered bundles of actions run as a unit during scheduled syncs. Physical datasets Tables and files promoted from sources; the raw data a sync ultimately reads. Processes is specific to Anaplan and Physical datasets to Dremio — each maps to any object or custom field on the other side.
Cell Data Individual intersections readable and writable through the transactional API. Virtual datasets (views) SQL views layering semantics over physical data; the preferred sync target for curated extracts. Cell Data is specific to Anaplan and Virtual datasets (views) to Dremio — each maps to any object or custom field on the other side.

How changes propagate between Anaplan and Dremio

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 Dremio 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 Dremio as a row-level write, with types converted between the two schemas.

Dremio Anaplan Interval-based propagation

DetectionStacksync polls Dremio for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL.

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.
  • Dremio: Bounded by engine capacity and workload management rather than API rate limits.
What ships with Anaplan ⇄ Dremio

Connect Anaplan and Dremio for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Anaplan–Dremio connection.

Real-time

Two-way sync

Changes in Anaplan or Dremio instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Anaplan or Dremio 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 Dremio record.

Observability

Monitoring

Track your Anaplan ⇄ Dremio 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 Dremio.

How the Anaplan and Dremio 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

Dremio

Integration surface
Arrow Flight SQL, JDBC/ODBC, and a REST API
Authentication
Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud
Change detection
Polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed
Capabilities
read · write
Rate limits
Bounded by engine capacity and workload management rather than API rate limits
How it works

How to connect Anaplan to Dremio — 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.

  1. 01

    Connect your apps

    Authenticate Anaplan and Dremio with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Anaplan connected
    Dremio connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Anaplan and Dremio 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Anaplan ⇄ Dremio
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Anaplan Dremio
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Anaplan and Dremio integration FAQ

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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 418 integrations available for Anaplan and Dremio.

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