Apache Hudi vs Databricks Notebooks
Apache Hudi
hudi.apache.orgDatabricks Notebooks
databricks.comSide by side
| Figure | Apache Hudi | Databricks Notebooks |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | — | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| Android | — | Yes |
| API | — | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 11 |
| Spec score · Data Lakehouse Platforms | 8.0 (#6) | 9.2 (#1) |
| Founded | 2016 | 2013 |
| Integrations | The site lists integrations including Apache Spark, Apache Flink, Kafka, Debezium, Amazon S3, Google Cloud Storage, Azure Blob Storage, Trino, and dbt. | Databricks offers native cloud integrations for AWS, Azure and Google Cloud, including marketplace or console deployment paths. |
| 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. | Databricks notebooks are web-based code editors for interactive data analysis and viewing results. |
Plans
Databricks Notebooks
- Free EditionFree
- Pay as you goPrice not published
- Pay as you goPriced on request
- Committed Use ContractsPrice not published
- Committed Use ContractsPriced on request
- Free EditionFree
- Free trialFree
- Artificial Intelligence$0.07 a month
- Data Engineering$0.15 a month
- Data Warehousing$0.22 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.
Databricks Notebooks
Databricks Notebooks has no write-up on Specifiction yet; its figures are above.