Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Apache Spark
No
Oracle Cloud Infrastructure
No
Pricing Details
$29/month
Free Trial
Yes
Free Version
Yes
Pricing Details
$0.0085 per GB per hour
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
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
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
No
Brand Tracking
No
Content Management
No
Customer Engagement
No
Multi-Account Management
No
Multi-User Collaboration
No
Post Scheduling
No
Reporting/Analytics
No
Social Media Monitoring
No
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