Skip to content
E-commerce ⇄ Data warehouse

Akeneo to Apache Hive integration — real-time, two-way sync

Keep Akeneo and Apache Hive 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

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Akeneo and Apache Hive

Make Apache Hive the analytics and enrichment layer behind Akeneo: orders, products, and customers stay current in both directions.

Apache Hive is the analytical store where the business joins, models, and reports on its data; Akeneo runs the storefront, catalog, and transactions that generate most of it. The overlap is every record that has to be counted and enriched on one side and acted on the other — and when the bridge is a nightly export, the warehouse reports on yesterday while the store operates without the segments and metrics the warehouse just computed.

Stacksync syncs Databases, Managed Tables, External Tables, Partitions in Apache Hive with Channels and locales, Media files, Products, Product models in Akeneo field by field, in real time, and in both directions. Transactional records land in the warehouse as they change, computed attributes and cleaned catalog data flow back to the store, and you decide which system owns which fields so Stacksync resolves conflicts by rules you set.

Common use cases

  • 01 Extract curated Hive tables into operational databases or SaaS tools so business teams use data locked in Hadoop.
  • 02 Load records from CRMs and databases into partitioned Hive tables for long-term analytical storage.
  • 03 Two-way sync Products and product models with an operational Postgres database or ERP so SKUs, prices, and localized descriptions stay aligned across systems.
  • 04 Push enriched Products and their Assets into an ecommerce storefront or commerce database when product.created and product.updated webhooks fire.

Common sync patterns

Live analytics on store activity

Orders, products, and customer records from Akeneo land in Apache Hive as they change, so dashboards and models read current data instead of last night's export.

Where Akeneo accepts writes: push computed attributes back

Segments, lifetime value, and scores built in Apache Hive write onto the matching records in Akeneo, so merchandising and messaging act on warehouse logic.

One product catalog

Where both systems hold product or catalog data, cleaned and enriched attributes stay aligned so the store and the warehouse describe the same items.

What you can sync between Akeneo and Apache Hive

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.

Akeneo objects Apache Hive objects How this pairing syncs
Families and family variants Templates defining which attributes a product carries and how variants axis out; synced to keep catalog structure consistent across systems. Managed Tables Tables whose data lifecycle Hive controls, used as warehouse destinations. Families and family variants is specific to Akeneo and Managed Tables to Apache Hive — each maps to any object or custom field on the other side.
Reference entities and records Structured lookups like brands, manufacturers, or ingredients with their own records (Enterprise Edition); synced two-way or read into a warehouse for reporting. External Tables Tables over existing files in HDFS or object storage, read without moving data. Reference entities and records is specific to Akeneo and External Tables to Apache Hive — each maps to any object or custom field on the other side.
Assets Asset-family media (images, documents) managed in Akeneo's DAM; linked to products and synced to storefronts and commerce systems. Partitions Directory-mapped subsets (often by date) that bound incremental sync reads. Assets is specific to Akeneo and Partitions to Apache Hive — each maps to any object or custom field on the other side.
Channels and locales Target-market settings that scope attribute values; read to resolve which localized or channel-specific value to map on each side of a sync. Views Logical views readable as modeled sources. Channels and locales is specific to Akeneo and Views to Apache Hive — each maps to any object or custom field on the other side.
Media files Product images and files uploaded via the media endpoint; referenced by products and pushed to downstream commerce and content systems. Materialized Views Precomputed results available in newer Hive versions for faster reads. Media files is specific to Akeneo and Materialized Views to Apache Hive — each maps to any object or custom field on the other side.
Products Core catalog records addressed by UUID (recommended) or identifier/SKU; synced two-way with databases, ERPs, and storefronts. Values are scoped per channel and locale. ACID Tables ORC-backed transactional tables that support row-level insert, update, and delete. Products is specific to Akeneo and ACID Tables to Apache Hive — each maps to any object or custom field on the other side.

How changes propagate between Akeneo and Apache Hive

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.

Akeneo Apache Hive Sub-second propagation

DetectionAkeneo notifies Stacksync of record changes through webhook events. Events API webhooks (product.created, product.updated, product.deleted, plus product-model equivalents.

DeliveryEach detected change is applied to Apache Hive as a row-level write, with types converted between the two schemas.

Apache Hive Akeneo Interval-based propagation

DetectionStacksync polls Apache Hive for changes on an incremental schedule, reading only records changed since the previous pass. Polling on partition values or timestamp columns.

DeliveryEach detected change is written to Akeneo through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Akeneo: REST protection triggers above roughly 100 requests/second per PIM instance (HTTP 429 with Retry-After); the Events API caps at 4000 requests/hour with a 500ms webhook ack timeout.
  • Apache Hive: No API quotas; query latency reflects the batch-oriented execution engine underneath.
What ships with Akeneo ⇄ Apache Hive

Connect Akeneo and Apache Hive for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Akeneo–Apache Hive connection.

Real-time

Two-way sync

Changes in Akeneo or Apache Hive instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Akeneo or Apache Hive 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 Akeneo or Apache Hive record.

Observability

Monitoring

Track your Akeneo ⇄ Apache Hive sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Akeneo and Apache Hive.

How the Akeneo and Apache Hive connectors work

Akeneo

Integration surface
REST API (plus a GraphQL API) and an Events API for webhooks
Authentication
OAuth2 password grant: client_id/secret plus an API user's username/password exchanged at /api/oauth/v1/token for a bearer access_token and refresh_token; Apps use the OAuth2 authorization-code flow
Change detection
Events API webhooks (product.created, product.updated, product.deleted, plus product-model equivalents; product.updated.delta carries old and new values); falls back to polling the 'updated' datetime search filter where the Events API is unavailable
Capabilities
read · write · webhooks
Rate limits
REST protection triggers above roughly 100 requests/second per PIM instance (HTTP 429 with Retry-After); the Events API caps at 4000 requests/hour with a 500ms webhook ack timeout.

Apache Hive

Integration surface
SQL (HiveQL) over JDBC/ODBC via HiveServer2 (Thrift)
Authentication
Deployment-dependent: Kerberos, LDAP, or username/password
Change detection
Polling on partition values or timestamp columns; no general-purpose change log for external consumers
Capabilities
read · write
Rate limits
No API quotas; query latency reflects the batch-oriented execution engine underneath
How it works

How to connect Akeneo to Apache Hive — 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 Akeneo and Apache Hive 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
    Akeneo connected
    Apache Hive connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Akeneo and Apache Hive 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 · Akeneo ⇄ Apache Hive
    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
    Akeneo Apache Hive
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Akeneo and Apache Hive 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 398 integrations available for Akeneo and Apache Hive.

Popular · 7 of 398
All Akeneo integrations All Apache Hive integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own