Real-time
Two-way sync
Changes in Anaplan or Apache Impala instantly reflect in both systems. No stale data, no manual imports.
Accounting and finance ⇄ Data warehouse
Anaplan to Apache Impala integration — real-time, two-way sync
Keep Anaplan and Apache Impala 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 Impala
Land the financial records from Anaplan in Apache Impala 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 List Items, Versions, Import and Export Actions, Processes from Anaplan into tables in Apache Impala in real time, and the connection works in both directions: values computed in Apache Impala 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
- Push approved plan and target numbers from Anaplan back to the CRM or compensation systems.
- Keep dimension lists (products, cost centers, territories) aligned with master data systems of record.
- Serve fast extracts of Hadoop-resident tables to operational databases and SaaS tools through Impala instead of slow batch engines.
- Sync mutable reference data into Kudu tables via Impala so row-level updates are possible on the Hadoop side.
Revenue joined with everything else
Analysts combine Anaplan's financial records with product, marketing, or operational data already in Apache Impala for reporting the finance system cannot do alone.
Write-back of computed fields
Scores or segments computed in Apache Impala, 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 Impala gives you a durable, queryable record of financial data for month-end and audit questions.
What you can sync between Anaplan and Apache Impala
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 Impala objects | |
|---|---|---|
| Lists Dimension members (accounts, products, cost centers) synced from master data systems. | Users and Roles Principals (often via Ranger/Sentry) used to grant scoped read access. | |
| List Items Individual dimension members created or updated from external systems of record. | Databases Namespaces shared with the Hive Metastore that scope tables. | |
| Versions Scenario dimensions (actual, budget, forecast) that scope which slice a sync reads or writes. | Tables HDFS or object-storage backed tables (commonly Parquet) read at interactive speed. | |
| Import and Export Actions Predefined data-movement definitions the Bulk API executes. | Partitions Partition values used to limit scans and drive incremental reads. | |
| Processes Ordered bundles of actions run as a unit during scheduled syncs. | Views Logical views readable as modeled sources. | |
| Cell Data Individual intersections readable and writable through the transactional API. | Kudu Tables Kudu-backed tables that support row-level insert, update, upsert, and delete. |
What ships with Anaplan ⇄ Apache Impala
Connect Anaplan and Apache Impala for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Anaplan–Apache Impala connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Anaplan or Apache Impala 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 Impala record.
Observability
Monitoring
Track your Anaplan ⇄ Apache Impala 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 Impala.
How the Anaplan and Apache Impala 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 Impala
- Integration surface
- SQL over JDBC/ODBC (HiveServer2-compatible protocol)
- Authentication
- Deployment-dependent: Kerberos, LDAP, or username/password
- Change detection
- Polling on partition or timestamp columns; no change log exposed for external consumers
- Capabilities
- read · write
- Rate limits
- No API quotas; concurrency is bounded by cluster resources and admission control settings
How it works
How to connect Anaplan to Apache Impala — 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 Impala 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 Impala
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Anaplan and Apache Impala 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 ImpalaCustomers 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 ImpalaCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Anaplan and Apache Impala integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Anaplan and Apache Impala: authenticate both systems, choose the objects to sync (such as Anaplan's Lists and List Items), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the Anaplan side: List Items, Versions, Import and Export Actions, Processes, plus custom fields where Anaplan exposes them. On the Apache Impala side: Tables, Partitions, Views, Kudu Tables. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for Anaplan and Apache Impala: Revenue joined with everything else; Write-back of computed fields; Queryable history for audit and reconciliation. Analysts combine Anaplan's financial records with product, marketing, or operational data already in Apache Impala for reporting the finance system cannot do alone.
-
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 Impala: SQL over JDBC/ODBC (HiveServer2-compatible protocol). Authentication: Deployment-dependent: Kerberos, LDAP, or username/password. Stacksync manages authentication, retries, and rate limits on both sides.
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Anaplan: Data movement at volume goes through predefined import and export actions executed by the Bulk API, so integrations depend on actions defined inside the model. Apache Impala: Impala runs long-lived daemons that execute queries in parallel without MapReduce, which is what makes it suitable for interactive extraction workloads. Stacksync's field mapping accounts for these differences between Anaplan and Apache Impala without custom code.
SECURITY
Security teams love 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
CSA STAR
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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