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 features
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 dedicated bare metal environments. 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.
Oracle Cloud SQL
Oracle Cloud SQL, an available add-on service, enables customers to initiate Oracle SQL queries on data in HDFS, Kafka, and Oracle Cloud Infrastructure Object Storage. Any user, application, or analytics tool can work transparently with these data stores, using push-down, scale-out processing to minimize data movement and speed queries.
Oracle Machine Learning for Spark
Oracle Machine Learning for SparkR gives data scientists the functions to manipulate data stored in Apache Hadoop Distributed File System (HDFS), Spark DataFrames, and other Java Database Connectivity (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. Oracle Machine Learning for SparkR lets users take advantage of all Oracle Big Data Service cluster nodes, and is easily accessed either through the included notebook or a customer-installed notebook.
Complete, integrated solution
Oracle Big Data Service is easy for customers to use and manage because it interoperates with data integration, data science, and analytics 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
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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 easily accessible and managed cost-effectively.
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Develop machine learning (ML) models
Query, visualize, and transform data so data scientists can build ML models using the included notebook with its R, Python, and SQL support.
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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.
Big Data Service pricing
Oracle Big Data Service
Product |
Comparison Price ( /vCPU)* |
Unit Price |
Unit |
OCI - Compute - Standard |
OCPU per hour |
||
OCI - Compute - Dense I/O |
OCPU per hour |
||
OCI - Compute - HPC |
OCPU per hour |
||
Oracle Cloud SQL |
OCPU per hour |
||
Oracle Big Data Service – service fee |
OCPU per hour |
*To make it easier to compare pricing across cloud service providers, Oracle web pages show both vCPU (virtual CPUs) prices and OCPU (Oracle CPU) prices for products with compute-based pricing. The products themselves, provisioning in the portal, billing, etc. continue to use OCPU (Oracle CPU) units. OCPUs represent physical CPU cores. Most CPU architectures, including x86, execute two threads per physical core, so 1 OCPU is the equivalent of 2 vCPUs for x86-based compute. The per-hour OCPU rate customers are billed at is therefore twice the vCPU price since they receive two vCPUs of compute power for each OCPU, unless it’s a sub-core instance such as preemptible instances. Additional details supporting the difference between OCPU vs. vCPU can be accessed here.
Resources
Oracle Big Data Service Documentation
Get started with Oracle Big Data Service
Learn how to set up and use a fully managed Hadoop cluster.
Cloud Customer Connect
Get started with Big Data Service
Explore the hands-on workshop
Learn how to set up and use a fully managed Hadoop cluster