Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Oracle Cloud Infrastructure (OCI) Data Flow is a comprehensive managed service for Apache Spark, enabling users to execute processing tasks on enormous data sets without the burden of deploying or managing infrastructure. This capability accelerates the delivery of applications, allowing developers to concentrate on building their apps rather than dealing with infrastructure concerns. OCI Data Flow autonomously manages the provisioning of infrastructure, network configurations, and dismantling after Spark jobs finish. It also oversees storage and security, significantly reducing the effort needed to create and maintain Spark applications for large-scale data analysis. Furthermore, with OCI Data Flow, there are no clusters that require installation, patching, or upgrading, which translates to both time savings and reduced operational expenses for various projects. Each Spark job is executed using private dedicated resources, which removes the necessity for prior capacity planning. Consequently, organizations benefit from a pay-as-you-go model, only incurring costs for the infrastructure resources utilized during the execution of Spark jobs. This innovative approach not only streamlines the process but also enhances scalability and flexibility for data-driven applications.
Description
Each day, mobile technology companies unveil groundbreaking experiences and innovations, often receiving accolades for their visionary approaches. Sensor Tower’s App Teardown tool enables users to delve into the inner workings of the most prominent applications on the market, revealing the strategies employed by their developers in the realm of mobile tech. This tool offers a unique perspective on a market that typically remains obscured from view. By uncovering SDKs and technologies embedded within app binaries that aren't publicly disclosed, it highlights the lesser-known contributors whose technologies power some of the most successful applications globally. Furthermore, App Teardown integrates seamlessly with other Sensor Tower offerings, enhancing your current workflows by providing valuable SDK insights. This comprehensive analysis not only informs but also empowers developers to make more strategic decisions in their app development processes.
API Access
Has API
No
API Access
Has API
No
Integrations
Apache Spark
Yes
App Store
No
Google Play
No
Oracle Cloud Infrastructure
Yes
Rivery
No
Integrations
Apache Spark
No
App Store
Yes
Google Play
Yes
Oracle Cloud Infrastructure
No
Rivery
Yes
Pricing Details
$0.0085 per GB per hour
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Oracle
Founded
1977
Country
United States
Website
www.oracle.com/big-data/data-flow/
Vendor Details
Company Name
Sensor Tower
Founded
2013
Country
United States
Website
sensortower.com
Product Features
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
No
Data Warehousing
No
High Volume Processing
No
No-Code Sandbox
No
Predictive Analytics
No
Templates
No
Data Science
Access Control
No
Advanced Modeling
No
Audit Logs
No
Data Discovery
No
Data Ingestion
No
Data Preparation
No
Data Visualization
No
Model Deployment
No
Reports
No
Product Features
App Store Optimization (ASO)
A/B Testing
No
App Store Localization
Yes
Benchmarking
Yes
Competitor Monitoring
Yes
Keyword Research Tools
Yes
Rank Tracking
Yes
Reporting / Analytics
Yes
Reviews Management
Yes
Sentiment Analysis
No