Onehouse alternatives

3 tools to consider instead of Onehouse, shown against it.

Onehouse Apache Hudi Apache Iceberg Dremio
Vendor Onehouse, Inc. Apache Software Foundation (originated by Uber) Apache Software Foundation Dremio Corporation
Pricing model Quote only Open source + paid options Open source + paid options Usage-based
Free tier No Yes Yes Yes
Deployment Cloud Self-hosted Self-hosted Cloud, Self-hosted
Open source No Yes (Apache-2.0) Yes (Apache-2.0) No
Best for Teams wanting managed Hudi-based ingestion with interoperability across Iceberg and Delta consumers. Pipelines with heavy upsert/delete volume, such as CDC ingestion or GDPR-driven record deletion. Teams building a multi-engine lakehouse who need one open table format multiple compute engines can share. Teams wanting to run governed SQL analytics directly on lake data without a separate warehouse copy.
Pricing

Sold as a managed, usage-based service; the public site does not publish tiered figures and directs prospects to a sales conversation.

Pricing has not been verified yet — see the vendor's site.

Free, open-source table format; no vendor pricing, though managed services built on Hudi (such as Onehouse) are sold separately.

Pricing has not been verified yet — see the vendor's site.

Free, open-source specification and libraries; no vendor pricing, though managed catalog and compute services built on Iceberg are sold separately by cloud vendors.

Pricing has not been verified yet — see the vendor's site.

Dremio Cloud is billed per Dremio Compute Unit (DCU) with a 30-day free-credit trial; Dremio Enterprise/Software pricing requires contacting sales.

Dremio Cloud $0.20 per DCU
Dremio Enterprise Contact sales

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Features
  • Managed ingestion from databases, streams, and files
  • Automatic table services: compaction, clustering, cleaning
  • Universal metadata layer exposing Hudi, Iceberg, and Delta views of the same data
  • Bring-your-own-cloud deployment inside the customer's account
  • Built by the original Apache Hudi creators
  • Incremental processing for downstream streaming consumers
  • Record-level upserts and deletes optimized for CDC pipelines
  • Copy-on-Write and Merge-on-Read storage layouts
  • Built-in indexing for fast upsert/delete lookups
  • Incremental queries returning only changed records
  • Automatic file sizing, clustering, and compaction services
  • Multi-engine support (Spark, Flink, Presto, Trino, Hive)
  • Time travel and savepoints for rollback
  • ACID transactions with snapshot isolation on data-lake files
  • Time travel and rollback to previous table snapshots
  • In-place schema evolution (add, drop, rename, reorder columns)
  • Hidden partitioning with partition evolution without rewriting data
  • Engine-agnostic: readable/writable by Spark, Trino, Flink, and more
  • Manifest-based metadata avoiding costly file-listing operations
  • Support for Parquet, ORC, and Avro file formats
  • SQL query engine directly over data-lake and database sources
  • Native Apache Iceberg table format support
  • Apache Arrow-based in-memory columnar processing
  • Reflections: auto-maintained materializations for query acceleration
  • Semantic layer with virtual datasets and governed spaces
  • Data-as-code versioning via Nessie catalog integration
  • Cloud (managed) and self-hosted software deployment options

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