Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Google Cloud BigQuery Reviews & Ratings
    2,008 Ratings
    Company Website
  • Hightouch Reviews & Ratings
    456 Ratings
    Company Website
  • Triple Whale Reviews & Ratings
    488 Ratings
    Company Website
  • Klaviyo Reviews & Ratings
    5,228 Ratings
    Company Website
  • FinOpsly Reviews & Ratings
    3 Ratings
    Company Website
  • AnalyticsCreator Reviews & Ratings
    46 Ratings
    Company Website
  • MongoDB Atlas Reviews & Ratings
    1,650 Ratings
    Company Website
  • Comet Backup Reviews & Ratings
    219 Ratings
    Company Website
  • Teradata VantageCloud Reviews & Ratings
    1,105 Ratings
    Company Website
  • Files.com Reviews & Ratings
    316 Ratings
    Company Website

What is Electrik.Ai?

Seamlessly transfer your marketing data into any data warehouse or cloud storage solution of your choice, such as BigQuery, Snowflake, Redshift, Azure SQL, AWS S3, Azure Data Lake, and Google Cloud Storage, using our cloud-hosted and fully-managed ETL pipelines. Our all-encompassing marketing data warehouse integrates all aspects of your marketing data, yielding critical insights into areas like advertising effectiveness, cross-channel attribution, content performance, competitor analysis, and much more. Furthermore, our customer data platform enables real-time identity resolution across multiple data sources, creating a unified view of the customer and their overall journey. Electrik.AI operates as a cloud-based marketing analytics tool and a comprehensive service platform focused on enhancing your marketing initiatives. In addition, Electrik.AI’s Google Analytics Hit Data Extractor is designed to enhance and retrieve the un-sampled hit-level data sent to Google Analytics from your website or application, consistently transferring it to your designated database, data warehouse, or data lake for advanced analysis. This approach guarantees that you have access to the most precise and actionable data, allowing you to effectively shape and drive your marketing strategies. By leveraging these innovative tools, businesses can significantly improve their decision-making processes and overall marketing performance.

What is Azure Data Lake Analytics?

Easily construct and implement highly parallelized data transformation and processing tasks using U-SQL, R, Python, and .NET across extensive datasets. There’s no requirement to manage any infrastructure, allowing you to process data on demand, scale up in an instant, and pay only for completed jobs. Harness the power of Azure Data Lake Analytics to perform large-scale data operations in just seconds. You won’t have to worry about server management, virtual machines, or clusters that need maintenance or fine-tuning. With Azure Data Lake Analytics, you can rapidly adjust processing capabilities, measured in Azure Data Lake Analytics Units (AU), from a single unit to thousands for each job as needed. You are billed solely for the processing power used during each task. The optimized data virtualization of your relational sources, such as Azure SQL Database and Azure Synapse Analytics, allows you to interact with all your data seamlessly. Your queries benefit from automatic optimization, which brings processing closer to where the original data resides, consequently minimizing data movement, boosting performance, and reducing latency. This capability ensures that you can tackle even the most challenging data tasks with exceptional efficiency and speed, ultimately transforming the way you handle data analytics.

Media

Media

Integrations Supported

Azure Data Lake
AdRoll
Amazon Redshift
Dropbox
Facebook Ads
Freshdesk
Google Ads
Google Analytics 360
Google Cloud BigQuery
Google Cloud Storage
Google Drive
LinkedIn
Meta Ads
Microsoft 365
MySQL
Pinterest
PostgreSQL
SendGrid
Shopify
X Ads (Twitter Ads)

Integrations Supported

Azure Data Lake
AdRoll
Amazon Redshift
Dropbox
Facebook Ads
Freshdesk
Google Ads
Google Analytics 360
Google Cloud BigQuery
Google Cloud Storage
Google Drive
LinkedIn
Meta Ads
Microsoft 365
MySQL
Pinterest
PostgreSQL
SendGrid
Shopify
X Ads (Twitter Ads)

API Availability

Has API

API Availability

Has API

Pricing Information

$49 per month
Free Trial Offered?
Free Version

Pricing Information

$2 per hour
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Electrik.Ai

Company Location

United States

Company Website

electrik.ai/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/data-lake-analytics/

Categories and Features

Customer Data Platforms (CDP)

Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling

Marketing Analytics

A/B Testing
Campaign Management
Channel Attribution
Customer Journey Mapping
Dashboard
Performance Metrics
Predictive Analytics
ROI Tracking
Social Media Metrics
Website Analytics

Categories and Features

Big Data

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

Popular Alternatives

Popular Alternatives

Azure HDInsight Reviews & Ratings

Azure HDInsight

Microsoft
Hyper-Q Reviews & Ratings

Hyper-Q

Datometry