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features
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support

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Description

Uncover the intricacies behind emerging trends by embarking on a guided exploration of data analytics inquiries that reveal the underlying dynamics at play. Enable your stakeholders to harness the power of self-service data analytics, granting them the capability to retrieve and examine the data they require, precisely when they need it. This approach enhances efficiency, diminishes reliance on IT support, and accelerates the process of making informed, data-driven decisions through a self-service analytics platform. Athenic AI seamlessly integrates with your data, whether it is housed in a database, data warehouse, or applications like CRM or ERP systems, providing answers to your queries without necessitating expertise in SQL or the involvement of a business analyst. Designed to comprehend natural language, Athenic translates your inquiries into SQL queries effortlessly. Moreover, we have incorporated a feature that allows users to provide additional context in natural language, further enriching the interaction and insights derived from the data. This empowers users to gain a deeper understanding of their data landscape, fostering a culture of analytical thinking across the organization.

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 No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Redshift Yes 
Google Cloud BigQuery Yes 
MySQL Yes 
PostgreSQL Yes 
Presto Yes 
SQL Server Yes 
Snowflake Yes 
Airtable Yes 
Amazon Athena Yes 
ClickHouse No 
Firebase No 
Firebird Yes 
Google Analytics No 
Google Analytics 360 No 
Google Sheets Yes 
MariaDB Yes 
PlanetScale Yes 
RudderStack No 
Segment No 
Snowplow Analytics No 

Integrations

Amazon Redshift Yes 
Google Cloud BigQuery Yes 
MySQL Yes 
PostgreSQL Yes 
Presto Yes 
SQL Server Yes 
Snowflake Yes 
Airtable No 
Amazon Athena No 
ClickHouse Yes 
Firebase Yes 
Firebird No 
Google Analytics Yes 
Google Analytics 360 Yes 
Google Sheets No 
MariaDB No 
PlanetScale No 
RudderStack Yes 
Segment Yes 
Snowplow Analytics Yes 

Pricing Details

No price information available.
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 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 No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Athenic AI

Website

www.athenic.com

Vendor Details

Company Name

Rakam

Founded

2016

Country

United States

Website

rakam.io

Product Features

Marketing Analytics

A/B Testing No 
Campaign Management No 
Channel Attribution No 
Customer Journey Mapping No 
Dashboard No 
Performance Metrics No 
Predictive Analytics No 
ROI Tracking No 
Social Media Metrics No 
Website Analytics No 

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 

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