Apache Hadoop HDFS
7.1#3 in data lake softwareFree planFree planAPILinuxSelf-hostedWindows
VisitApache Hadoop HDFS vs Unilake
What both publish
| Fact | Apache Hadoop HDFS | Unilake |
|---|---|---|
| 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. | Unilake advertises more than 350 pre-built connectors using Singer and projects such as Airbyte and Meltano. |
| Scale | HDFS is designed to scale to hundreds of nodes in a cluster and support tens of millions of files in one instance. | Unilake says it supports workloads ranging from megabytes to petabytes of data. |
| Security | Production clusters are expected to use Kerberos for caller authentication and access control. | The governance page says policies apply across REST, SQL, and S3 access and describes attribute-based access control, context-aware rules, and just-in-time access. |
| Support | The project asks users not to request private support from its non-paid volunteers and directs help requests to module mailing lists. | The support page directs users to GitHub issues, GitHub discussions, and Zulip for bugs, feature requests, and help. |
Apache Hadoop HDFS plans
- Apache Hadoop HDFSFree
- Apache Hadoop / HDFS open-source distributionFree
Unilake plans
No prices published.
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 Unilake if…
Unilake may suit organizations seeking an open-source analytics platform with flexible deployment and governance controls. It is also relevant to teams working with multiple lakehouse formats or needing to run the platform in a chosen environment.