Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Integrate tailored insights into your applications, including recommendation systems, sentiment analysis, anomaly detection, and fraud prevention, while also gathering user engagement metrics that enhance value for your customers and provide your teams with product analytics. The advanced analytics offered through Qualetics’ secure, multi-tenant platform fosters a new level of collaboration, enabling both your team and customers to view, analyze, share, export, and subscribe to essential insights in real-time. Qualetics’ AIMS effectively captures multi-dimensional data points from your applications instantaneously, fueling advanced analytics and AI-driven results. Utilizing our unique page rank and error ranking algorithm, we deliver a quality index of your product, highlighting the severity of errors, their frequency, and the number of users affected. Furthermore, with Qualetics, you can assess your product’s Performance Index score, which reveals how well your application is functioning. This comprehensive approach not only enhances your application's effectiveness but also drives continuous improvement based on actionable insights.
Description
Rakam offers tailored reporting capabilities for various teams, ensuring that no group is confined to a single interface. It seamlessly converts the inquiries made in its user interface into SQL queries, simplifying the process for end-users. Importantly, Rakam does not transfer any data into your data warehouse; rather, it operates under the assumption that all necessary data is already stored within, allowing for analysis directly from the data warehouse, your definitive source of truth. For further insights on this subject, check out our blog post. Rakam also integrates with dbt core, serving as the data modeling layer but does not execute your dbt transformations. Instead, it connects to your GIT repository to automatically synchronize your dbt models. Additionally, Rakam can generate incremental dbt models, enhancing query performance and minimizing database costs. By defining aggregates in your dbt resource files, Rakam automatically creates roll-up models, simplifying the process for end-users while ensuring efficient data handling. This streamlined approach empowers teams to focus on insights rather than the technical intricacies of data analysis.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Amazon Redshift
No
Axis LMS
Yes
ClickHouse
No
Firebase
No
Google Analytics
No
Google Analytics 360
No
Google Cloud BigQuery
No
MySQL
No
PostgreSQL
No
Presto
No
Integrations
Amazon Redshift
Yes
Axis LMS
No
ClickHouse
Yes
Firebase
Yes
Google Analytics
Yes
Google Analytics 360
Yes
Google Cloud BigQuery
Yes
MySQL
Yes
PostgreSQL
Yes
Presto
Yes
Pricing Details
$99 per month
Free Trial
Yes
Free Version
No
Pricing Details
$25 per user per month
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
Yes
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
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Qualetics
Country
United States
Website
qualetics.com
Vendor Details
Company Name
Rakam
Founded
2016
Country
United States
Website
rakam.io
Product Features
Product Analytics
Attribution
No
Automatic Data Capture
No
Churn Reporting
No
Customer Feedback Collection
No
Customer Guidance
No
Customer Journey Analytics
No
Data Export
No
Data History Retention
No
Data Labeling
No
Product Engagement Scoring
No
Real-Time Data Analysis
No
Touchpoint Analytics
No
User Segmentation
No
Product Features
Product Analytics
Attribution
No
Automatic Data Capture
No
Churn Reporting
No
Customer Feedback Collection
No
Customer Guidance
No
Customer Journey Analytics
No
Data Export
No
Data History Retention
No
Data Labeling
No
Product Engagement Scoring
No
Real-Time Data Analysis
No
Touchpoint Analytics
No
User Segmentation
No