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Hapi Data Lakehouse

#22 of 23 in Data Lakehouse Platforms

Hapi Data Lakehouse: A focused lakehouse for hospitality teams that need governed, connected operational data. Ranked #22 of 23 in Data Lakehouse Platforms by our editors (6.7/10); pricing: Pricing on request; best for hospitality data lakehouse use cases.

6.7/10Editor score
Hapi Data Lakehouse6.7 Visit Hapi

At a glance

  • Editor score
    6.7 / 10
  • Pricing
    Pricing on request
  • Best for
    Hospitality data lakehouse use cases
  • Storage model
    Both
  • Founded
    2017
  • Facts checked
    20 Sep 2026
Hapi Data Lakehouse screenshot
  • Where it wins

    • Normalized model for reservation, guest, stay, and folio data
    • Managed Iceberg and Parquet with federated SQL access
    • Connectors for 27+ property-management platforms and 100+ systems
  • Where it doesn't

    • Hospitality specialization limits use outside the sector
    • Contact-sales pricing offers no self-serve plan path
    • API-focused access may not suit teams seeking broader platform options

Our verdict on Hapi Data Lakehouse

Hapi Data Lakehouse is a managed, hospitality-native data lakehouse for hotel brands and hospitality technology providers. It brings reservation, guest, stay, and folio information into a normalized model, giving teams a shared structure for reporting, business intelligence, customer data platforms, automations, and AI workloads. Governed and customer-segmented access supports controlled use of operational and guest data across organizations and teams.

Its strongest fit comes from the combination of hospitality integrations and open storage formats. Hapi connects with property management, dining, spa, loyalty, survey, Wi-Fi, and web data systems, including 27+ property-management platforms and 100+ systems overall. Managed Apache Iceberg and Parquet storage supports portability, while federated SQL, near-real-time APIs, and scheduled Parquet exports through SFTP or customer object storage serve different analytics and data-delivery needs. Data validation and quarantine help isolate records that fail critical rules.

Hapi is a practical choice for hospitality organizations that want domain-specific normalization, governed access, and multiple ways to move data into downstream systems. It is less compelling for companies outside hospitality or teams seeking a general-purpose lakehouse with broad industry coverage. The contact-sales pricing model may also suit procurement-led buying better than smaller teams looking for immediate self-service access. Choose Hapi when hotel and hospitality data connectivity is central; consider a broader platform when industry specialization is not a priority.

Your product? Our editors can test Hapi Data Lakehouse in depth and publish a review, labelled as paid · from $149/mo →

Hapi Data Lakehouse pricing

Plans Pricing on request No free plan — trial or paid only. Prices checked 20 Sep 2026.
See plans on stayhapi.com

Hapi Data Lakehouse fact sheet

Free planNot verified
Paid fromNot verified
Storage modelBoth
SQL analyticsYes
ACID transactionsNot verified
Table format supportOpen
Streaming ingestionYes
Governance catalogNot verified
DeploymentCloud
Compliance & securitySOC 2, PCI DSS
SupportTickets
Built forMid-market, Enterprise (editorial estimate)
Integrations100+ integrations: Property management systems, Dining systems, Spa systems, Loyalty systems, Survey systems, Wi-Fi systems …
PricingPricing on request
Websitestayhapi.com
Facts checked20 Sep 2026

Hapi Data Lakehouse integrations

Hapi Data Lakehouse lists 100+ integrations on its own site — the 7 named here are the ones its pages call out.

  • Property management systems
  • Dining systems
  • Spa systems
  • Loyalty systems
  • Survey systems
  • Wi-Fi systems
  • Web data sources

Alternatives to Hapi Data Lakehouse

See all Hapi Data Lakehouse alternatives →

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Featured on iTechGuides

Featured on iTechGuides — Hapi Data Lakehouse 6.7/10

Hapi Data Lakehouse is listed in our Data Lakehouse Platforms directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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