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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

GetAdSpark serves as a comprehensive digital marketing and presence solution tailored for small enterprises. Our mission is to simplify online visibility for entrepreneurs, eliminating stress in the process. Business owners no longer need to navigate through various complicated platforms; instead, they can oversee their essential digital channels effortlessly from a user-friendly dashboard. GetAdSpark integrates flawlessly with Facebook and Instagram, enabling users to schedule and automate their social media updates with ease. In addition to social media tools, the platform includes a robust email and newsletter management system designed to keep your audience engaged and informed. Hosted securely on Google Cloud infrastructure with verified OAuth, GetAdSpark guarantees the reliable delivery of your marketing campaigns. From automated content publishing to streamlined newsletter distribution, GetAdSpark removes the technical burdens associated with digital marketing, allowing businesses to focus on growth and customer engagement. By offering a single solution for multiple marketing needs, it empowers entrepreneurs to thrive in the digital landscape.

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.

API Access

Has API

API Access

Has API

Screenshots View All

No images available

Screenshots View All

Integrations

Apache Spark
Oracle Cloud Infrastructure

Integrations

Apache Spark
Oracle Cloud Infrastructure

Pricing Details

$29/month
Free Trial
Free Version

Pricing Details

$0.0085 per GB per hour
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

GetAdSpark

Founded

2026

Country

France

Website

getadspark.com

Vendor Details

Company Name

Oracle

Founded

1977

Country

United States

Website

www.oracle.com/big-data/data-flow/

Product Features

Social Media Management

Automated Publishing
Brand Tracking
Content Management
Customer Engagement
Multi-Account Management
Multi-User Collaboration
Post Scheduling
Reporting/Analytics
Social Media Monitoring

Product Features

Big Data

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

Data Science

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

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