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What is rakam?
Rakam provides customized reporting solutions for diverse teams, ensuring that no group is limited to a single user interface. It effortlessly translates queries made within its interface into SQL commands, making it easier for end-users to interact with the data. Notably, Rakam does not move any data into your data warehouse; it works on the premise that all essential information is already present there, facilitating direct analysis from the warehouse, which serves as your ultimate source of truth. For additional information on this topic, be sure to explore our blog post. Furthermore, Rakam integrates with dbt core, acting as the data modeling layer without executing your dbt transformations. Instead, it links to your GIT repository to keep your dbt models updated automatically. In addition, Rakam can create incremental dbt models, boosting query efficiency while reducing database expenses. By specifying aggregates within your dbt resource files, Rakam efficiently generates roll-up models, which streamlines the process for users and promotes effective data management. This efficient approach enables teams to concentrate on deriving insights rather than getting bogged down by the technical complexities of data analysis, ultimately enhancing productivity.
What is June?
We examined various techniques and approaches for monitoring products, enabling you to gain valuable insights into your users similar to top-tier companies. Identify the organizations that influence the metrics. Rather than concentrating on random IDs, focus on comprehensive company profiles. Make use of our easy-to-understand report to evaluate, improve, and take pride in your features. Investigate the number of users or businesses that interact with, adopt, and revisit your features to validate their success. Collect feedback on your features from the most pertinent individuals. Connect with those who appreciated your feature and those who only tried it once but did not return. Why does your team overlook the importance of recognizing early milestones such as 5, 50, and 500 users? Our reports illuminate the accomplishments that your team can commemorate. Compare your launches with other features in your product. Attain an in-depth understanding of adoption and usage patterns in relation to the overall effectiveness of your product. This methodology not only strengthens your strategy but also cultivates a culture of acknowledgment within your team, fostering motivation and engagement among members. By actively celebrating these milestones, you can instill a sense of accomplishment that drives continuous improvement and innovation.
Integrations Supported
Segment
Amazon Redshift
ClickHouse
Firebase
Google Analytics
Google Analytics 360
Google Cloud BigQuery
JavaScript
Kameleoon
MySQL
Integrations Supported
Segment
Amazon Redshift
ClickHouse
Firebase
Google Analytics
Google Analytics 360
Google Cloud BigQuery
JavaScript
Kameleoon
MySQL
API Availability
Has API
API Availability
Has API
Pricing Information
$25 per user per month
Free Trial Offered?
Free Version
Pricing Information
$149 per month
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
Rakam
Date Founded
2016
Company Location
United States
Company Website
rakam.io
Company Facts
Organization Name
June
Date Founded
2021
Company Location
United States
Company Website
www.june.so/
Categories and Features
Product Analytics
Attribution
Automatic Data Capture
Churn Reporting
Customer Feedback Collection
Customer Guidance
Customer Journey Analytics
Data Export
Data History Retention
Data Labeling
Product Engagement Scoring
Real-Time Data Analysis
Touchpoint Analytics
User Segmentation
Categories and Features
Product Analytics
Attribution
Automatic Data Capture
Churn Reporting
Customer Feedback Collection
Customer Guidance
Customer Journey Analytics
Data Export
Data History Retention
Data Labeling
Product Engagement Scoring
Real-Time Data Analysis
Touchpoint Analytics
User Segmentation