Apache Hudi vs Google Cloud Lakehouse for Apache Iceberg
Apache Hudi
hudi.apache.org
Google Cloud Lakehouse for Apache Iceberg
cloud.google.comSide by side
| Figure | Apache Hudi | Google Cloud Lakehouse for Apache Iceberg |
|---|---|---|
| Price from | Free | $0.04/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | — | Yes |
| Linux | Yes | Yes |
| API | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 11 |
| Spec score · Ai Data Platforms | 8.1 (#4) | 9.1 (#1) |
| Spec score · Data Lakehouse Platforms | 8.0 (#6) | 9.0 (#2) |
| Founded | 2016 | 1998 |
| What it does | Apache Hudi is an open data lakehouse platform that brings database functionality to data lakes and supports incremental processing for low-latency analytics. | Google Cloud Lakehouse is a managed storage and governance layer for Apache Iceberg data, separating storage from compute and allowing shared access by analytics engines. |
Plans
Google Cloud Lakehouse for Apache Iceberg
- Metadata storage free tierPriced on request
- Metadata storagePriced on request
- Table managementPriced on request
- Class A metadata accessPriced on request
- Class B metadata accessPriced on request
- Catalog federation metadata refreshPriced on request
- Metadata storage included tierFree
- Metadata storage overage$0.04 a month
- Lakehouse table management$0.12 a month
- Class B metadata access$0.90 a month
In their own words
Apache Hudi
Apache Hudi is a free, open-source data lakehouse platform that adds database capabilities to data lakes and supports incremental processing for low-latency analytics. It can update and delete records, with pluggable indexing for change-data-capture and streaming workloads. Transaction features include atomic writes, snapshot isolation, and non-blocking concurrency controls. Users can query historical table versions, roll back changes, and review commit history. Automated table services handle clustering, compaction, cleaning, file sizing, and indexing, while schema evolution and enforcement accommodate changing data. Listed integrations include Apache Spark, Apache Flink, Kafka, Debezium, Amazon S3, Google Cloud Storage, Azure Blob Storage, Trino, and dbt. Some integrations are read-only, so Spark or Flink may write Hudi tables for those systems to query. Downloads include source releases and Maven bundles, with PGP verification advised. Hudi relies on the security posture of its compute and storage environment.
Google Cloud Lakehouse for Apache Iceberg
Google Cloud Lakehouse for Apache Iceberg is a web service for working with Apache Iceberg tables. Its listed capabilities include SQL analytics, ACID transactions, streaming ingestion, and a governance catalog, with both listed storage models and table-format categories supported. Charges are organized by metadata storage, table management, metadata access, and catalog federation refresh rather than a single stated plan price. Metadata storage includes 1 GiB free each month; additional storage starts at $0.04 per GiB per month. Table management starts at $0.12 per DCU-hour and includes storage optimization, adaptive file sizing, automatic clustering, garbage collection, and BigQuery metadata generation. Class A metadata access includes 5,000 free operations monthly, and Class B includes 50,000. Catalog federation metadata refresh lists 0 to 5,001 free operations per account each month. The service is paid overall and has no free plan, despite those component-level free allowances. Listed billing thresholds are above 5,001 operations for Class A and catalog refresh, and above 50,001 for Class B. Google was founded in 1998 and is headquartered in Mountain View, California.