Cloudera Data Lake Service vs Oracle Big Data Service

Cloudera Data Lake Service provides data governance, metadata management, access controls, and auditing for data lake workloads. It captures schema and metadata definitions that platform workloads discover or create, then supports search, lineage, chain-of-custody auditing, classification, profiling, and a business glossary. Security capabilities include role- and attribute-based policies, auditing of unauthorized access, and encryption at rest and in motion with key management. Apache Ranger can apply access policies at database, table, column, and file levels, including dynamic conditions such as time or geolocation. Apache Knox provides a protected single sign-on gateway to Data Lake and Cloudera Data Platform interfaces. A cluster includes Hive Metastore, Ranger, Atlas, and Knox. Cloudera supports light-duty and enterprise Data Lakes on AWS, Azure, and GCP. Listed capabilities also include SQL analytics, streaming ingestion, data sharing, and open table formats. The service has web and API access and supports hybrid deployment. The listed pricing note starts at $0.20, while the plan is also described as Contact Sales for pricing; cloud prices exclude infrastructure and networking costs.

Oracle Big Data Service is a managed cloud service for creating Hadoop-based data lakes that process large amounts of data. Its distribution includes Apache Hadoop, Ambari, HBase, Hive, Spark, and other services. Customers can build clusters with OCI compute shapes, from small development environments to large production clusters on dedicated hardware, and choose NVMe or block storage. Clusters can be resized; secure, high-availability clusters are an option. Oracle Cloud SQL queries data across Hadoop, Kafka, NoSQL, and object stores using Oracle SQL. The service also describes SparkR for working with HDFS, Spark DataFrames, and JDBC sources and building models in R. Access is available through the OCI Console, CLI, REST APIs, and SDKs. Block Volume data is encrypted at rest by default, and OCI IAM controls authentication and authorization. Oracle describes both short-lived clusters for specific tasks and long-running data lakes. The listed service fee is 0.02 USD per OCPU per hour; compute and storage charges apply separately. Oracle lists separate hourly rates for compute shapes and Cloud SQL. Clusters need release updates to remain current and supported.