Audience

Organizations looking for a data science solution

About Oracle Cloud Infrastructure Data Flow

Oracle Cloud Infrastructure (OCI) Data Flow is a fully managed Apache Spark service to perform processing tasks on extremely large data sets without infrastructure to deploy or manage. This enables rapid application delivery because developers can focus on app development, not infrastructure management. OCI Data Flow handles infrastructure provisioning, network setup, and teardown when Spark jobs are complete. Storage and security are also managed, which means less work is required for creating and managing Spark applications for big data analysis. With OCI Data Flow, there are no clusters to install, patch, or upgrade, which saves time and operational costs for projects. OCI Data Flow runs each Spark job in private dedicated resources, eliminating the need for upfront capacity planning. With OCI Data Flow, IT only needs to pay for the infrastructure resources that Spark jobs use while they are running.

Pricing

Starting Price:
$0.0085 per GB per hour

Integrations

Ratings/Reviews

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Company Information

Oracle
Founded: 1977
United States
www.oracle.com/big-data/data-flow/

Videos and Screen Captures

Oracle Cloud Infrastructure Data Flow Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Support
Phone Support
Online

Oracle Cloud Infrastructure Data Flow Frequently Asked Questions

Q: What kinds of users and organization types does Oracle Cloud Infrastructure Data Flow work with?
Q: What languages does Oracle Cloud Infrastructure Data Flow support in their product?
Q: What kind of support options does Oracle Cloud Infrastructure Data Flow offer?
Q: What other applications or services does Oracle Cloud Infrastructure Data Flow integrate with?
Q: What type of training does Oracle Cloud Infrastructure Data Flow provide?
Q: How much does Oracle Cloud Infrastructure Data Flow cost?

Oracle Cloud Infrastructure Data Flow Product Features

Big Data

Templates
Data Visualization
Collaboration
Data Blends
Data Cleansing
Data Warehousing
High Volume Processing
Data Mining
No-Code Sandbox
Predictive Analytics

Data Science

Data Ingestion
Data Preparation
Data Visualization
Data Discovery
Advanced Modeling
Model Deployment
Access Control
Audit Logs
Reports