Apache Hadoop HDFS
7.1#3 in data lake softwareFree planFree planAPILinuxSelf-hostedWindows
VisitApache Hadoop HDFS vs Oracle Big Data Service
Oracle Big Data Service
6.2#5 in data lake softwareWebAPILinux
VisitWhat both publish
| Fact | Apache Hadoop HDFS | Oracle Big Data Service |
|---|---|---|
| High availability | NameNode high availability can use shared NFS storage or a distributed Journal edit log, with the Journal approach recommended. | Secure, high-availability clusters are available as an option. |
| 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. | Oracle documents integrations with OCI Object Storage and Data Catalog; Cloud SQL also analyzes data across Hadoop, Kafka, NoSQL, and object stores. |
| Security | Production clusters are expected to use Kerberos for caller authentication and access control. | Block Volume data used by Big Data Service is encrypted at rest by default, and OCI IAM controls authentication and authorization. |
Apache Hadoop HDFS plans
- Apache Hadoop HDFSFree
- Apache Hadoop / HDFS open-source distributionFree
Oracle Big Data Service plans
- Oracle Big Data ServicePriced 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 Oracle Big Data Service if…
It suits teams building and managing Hadoop data lakes, whether for short-lived tasks or long-running workloads. Cluster sizing and storage choices may fit development through production needs.