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Oracle Big Data Service

Oracle Big Data Service is a fully managed, automated cloud service that provides enterprises with a cost-effective Hadoop environment. Customers easily create secure and scalable Hadoop-based data lakes that can quickly process large amounts of data.

Oracle Big Data Service

Flexible provisioning

Oracle Big Data Service makes it easy for customers to deploy Hadoop clusters of all sizes, with VM shapes ranging from 1 OCPU to a dedicated bare metal environment. Customers choose between high-performance NVmE storage or cost-effective block storage, and can grow or shrink their clusters.

Simplified security and availability

Oracle Big Data Service simplifies the process of making Hadoop clusters both highly available and secure. Based on Oracle best practices, Big Data Service implements high availability and security with a single click, reducing the need for in-depth Hadoop skills.

Workload portability

Oracle Big Data Service runs on Cloudera Enterprise 6.x and uses the same cluster management software as on-premises customer deployments. This makes it easier for enterprises to move workloads to the cloud and ensures compatibility with on-premises solutions.

Oracle Cloud SQL

Oracle Cloud SQL is an available add-on service that enables customers to initiate Oracle SQL queries on data in HDFS, Kafka, and Oracle Object Storage. Any user, application, or analytics tool can transparently work with data stores, using push-down, scale-out processing to minimize data movement and speed queries.

Oracle Machine Learning for Spark

Oracle Machine Learning for Spark R (OML4Spark R) gives data scientists functions for manipulating data stored in HDFS, Spark DataFrames, and other JDBC sources. They can also build machine-learning models in R for easy deployment with Apache Spark using high-performance libraries with scalable, parallelized algorithms. OML4Spark R lets users take advantage of all Big Data Service cluster nodes and is easily accessed via the included notebook or a customer-installed notebook.

Graph and spatial analytics

Oracle Big Data Service includes Oracle Big Data Spatial and Graph so customers can analyze location and graph data, uncover hidden relationships, and generate new data that can be used to enhance machine-learning models.

Complete, integrated solution

Oracle Big Data Service is easy for customers to use and manage because it interoperates with data integration, data science, and analysis services, while enabling developers to easily access data using Oracle SQL. Enterprises can eliminate data silos and ensure that data lakes are not isolated from other corporate data sources.

Oracle Big Data Service use cases

  • Build a cloud data lake with Oracle Big Data Service

    Quickly create Hadoop-based data lakes to extend or complement customer data warehouses, and ensure that all data is both accessible and managed cost-effectively..

    Read the blog

  • Develop machine learning models

    Query, visualize and transform data so data scientists can build machine learning models using the included notebook with its R, Python and SQL support.

    Read the blog Connecting Big Data and AI

  • Migrate on-premises Hadoop clusters to the cloud

    Move customer-managed Hadoop clusters to a fully-managed cloud-based service, reducing management costs and improving resource utilization.

    Read the data management technical brief (PDF)


UCM - Big Data Service

Unit price
Oracle Big Data Service - Compute - Standard

vCPU per hour
Oracle Big Data Service - Compute - Dense I/O

vCPU per hour
Oracle Big Data Service - Compute - HPC

vCPU per hour
Oracle Cloud SQL

vCPU per hour

Common cloud industry practice is to define compute instances based on the number of virtual CPUs (vCPUs) they include. Each vCPU provides the capacity for one thread of execution. A vCPU does not provide a whole physical compute core, it’s part of a core. In contrast, Oracle’s x86 compute shapes use OCPUs which equate to physical CPU cores, each of which provides for two threads. To make it easier for customers to compare across cloud service providers, Oracle presents vCPU pricing on our web pages while billing is based on the number of OCPU time they consume. The per-hour OCPU rate customers are billed at is twice the vCPU price on the web pages since they receive two vCPUs of compute power instead of one.



Oracle Big Data Service Documentation

Cloud Learning

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Learn how to setup and use a fully-managed Hadoop cluster.

Support and Services

Cloud Customer Connect

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Learn how to setup and use a fully-managed Hadoop cluster.