Oracle Big Data Service vs Qubole
Oracle Big Data Service
oracle.comQubole
qubole.comSide by side
| Figure | Oracle Big Data Service | Qubole |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | Yes | — |
| API | Yes | Yes |
| Plans published | 1 | 3 |
| Spec score · Data Lake Software | 7.5 (#10) | 7.2 (#11) |
| Headquarters | Austin, Texas, USA | Santa Clara, California, United States |
| Integrations | Oracle documents integrations with OCI Object Storage and Data Catalog; Cloud SQL also analyzes data across Hadoop, Kafka, NoSQL, and object stores. | Qubole's Spark page lists authenticated ODBC/JDBC connections for Tableau and Looker, REST API integrations including Airflow and Oozie, and data connectors including Snowflake, Redshift, Kafka, and Kinesis. |
Plans
In their own words
Oracle Big Data Service
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.
Qubole
Qubole is a cloud data lake platform for data engineering, data management, streaming analysis, machine learning, data exploration, and ad-hoc analytics. It lists support for AWS, Microsoft Azure, Google Cloud Platform, and Oracle Cloud Infrastructure, alongside Apache Spark, Presto, Hive/Hadoop, TensorFlow, and Airflow. Workbench lets users author, save, template, and share reports and queries, with optimized Presto SQL, Tableau and Looker integrations, and Git integration. The Assisted Pipeline Builder combines batch or streaming sources into streaming pipelines using fault-tolerant infrastructure. Qubole says it provisions, manages, and optimizes cloud resources, including workload-aware autoscaling and real-time spot buying. Security controls include encryption, role-based access, and integration with cloud IAM, Active Directory, and LDAP. The service states a 99.9% availability commitment, excluding scheduled and communicated maintenance. A 30-day full-featured trial is listed. Enterprise Edition is priced on request, billed per QCU per hr, and requires an annual contract; On-Demand is priced on request, billed per QCU per hr. Both exclude user fees; On-Demand lists them as $108 per user per month.