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Tools
Lakehouse platforms & table formats
8 tools compared: how each is priced, where it runs, and what to consider instead.
| Tool | Pricing model | Free tier | Open source |
|---|---|---|---|
| Apache Hudi Open-source table format optimized for high-volume upserts, deletes, and incremental data-lake pipelines. | Open source + paid | Yes | Yes |
| Apache Iceberg Open-source table format that adds warehouse-style transactions, schema evolution, and time travel to data-lake files. | Open source + paid | Yes | Yes |
| Apache Paimon Open-source lake table format built for unified streaming and batch updates, originating from the Apache Flink community. | Open source + paid | Yes | Yes |
| Cloudera Data Platform Enterprise data platform unifying data engineering, warehousing, ML, and streaming across hybrid and multi-cloud environments. | Quote only | No | No |
| Databricks Managed lakehouse platform, built by Apache Spark's creators, combining Spark-based compute with governance and ML tooling. | Usage-based | Yes | No |
| Delta Lake Open-source storage format that brings ACID transactions and versioning to Parquet files on a data lake. | Open source + paid | Yes | Yes |
| Dremio SQL query and semantic layer engine for querying data lakes directly, built around Apache Iceberg and Apache Arrow. | Usage-based | Yes | No |
| Onehouse Managed lakehouse service built by Apache Hudi's original creators, unifying ingestion and open table formats. | Quote only | No | No |