Apache Hadoop HDFS
7.2#2 in data lake softwareFree planFree planAPILinuxSelf-hostedWindows
VisitApache Hadoop HDFS vs lakeFS
What both publish
| Fact | Apache Hadoop HDFS | lakeFS |
|---|---|---|
| Integrations | Hadoop 3.5.0 includes a FileSystem implementation for Google Cloud Storage, and its documentation also lists connectors for Amazon S3, Azure Blob Storage, and Azure Data Lake Storage. | The integrations documentation lists tools including Spark, Trino, DuckDB, Databricks, MLflow, SageMaker, Vertex AI, Kubeflow, Airflow, and Airbyte. |
| Purpose | HDFS is a distributed file system designed for high-throughput access to large application data sets on commodity hardware. | lakeFS provides governed access to petabyte-scale multimodal data and records data changes for auditability. |
Apache Hadoop HDFS plans
- Apache Hadoop HDFSFree
- Apache Hadoop / HDFS open-source distributionFree
lakeFS plans
- lakeFS EnterprisePriced on request
Pick Apache Hadoop HDFS if…
HDFS suits teams handling large application data sets that need distributed storage for batch or streaming workloads. It is less suited to interactive work requiring low latency or arbitrary in-place file updates.
Pick lakeFS if…
lakeFS is aimed at data engineers, data scientists, ML engineers, and ML platform teams managing governed data workflows. It also describes use for agentic AI initiatives.