Onehouse
Universal managed data lakehouse service built on Apache Hudi with open engines (Flyte, Trino, Ray) for AI/ML workloads.
Our Verdict
Interesting managed lakehouse for multi-format shops; Iceberg-first teams may still prefer Tabular/Databricks.
Pros
- Built by Apache Hudi creators directly
- Universal table format across Iceberg/Delta/Hudi
- Managed lakehouse reduces ops burden
- Open engine choice avoids compute lock-in
Cons
- Hudi ecosystem smaller than Iceberg's momentum
- Category still defining itself in 2026
- Pricing and minimums enterprise-leaning
- Less mature than Databricks lakehouse stack
Best for: Data platform teams wanting managed Hudi plus multi-engine openness
Not for: Teams already committed to Databricks or pure Iceberg stack
When to Use Onehouse
Good fit if you need
- Managed data lakehouse on Apache Hudi with open engines
- Universal Hudi ingestion from Kafka, DMS, and object storage
- Replacing custom Hudi pipelines with a managed lakehouse SaaS
- Enabling Trino, Flink, and Ray queries on the same Hudi tables
- AI/ML feature engineering pipelines on managed Hudi lakehouse
Lock-in Assessment
High 4/5
Lock-in Score 4/5
Pricing
Price wrong?Onehouse Pricing
- Pricing Model
- custom
- Free Tier
- No
- Entry Price
- —
- Enterprise Available
- No
- Transparency Score
- —
Beta — estimates may differ from actual pricing
1,000
1001K10K100K1M
Estimated Monthly Cost
$25
Estimated Annual Cost
$300
Estimates are approximate and may not reflect current pricing. Always check the official pricing page.
Project Health
C
Health Score
32 8
Bus Factor
4
Last Commit
3 days
Release Freq
6d
Open Issues
12
Issue Response
N/A
License
Apache-2.0
Last checked: 2026-04-21
Community Discussion
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