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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Dot serves as an AI-driven data analyst, seamlessly linking to your data warehouse and empowering users to pose questions in natural language for immediate, reliable insights. It functions across platforms like Slack, Teams, or through a dedicated web application to facilitate on-demand data retrieval, visualizations, root-cause analyses, and weekly business summaries that come with actionable suggestions. By leveraging existing business intelligence tools, dbt metrics, LookML, SQL queries, and documentation, GetDot.ai guarantees consistent and governed responses supported by role-specific permissions and row-level security measures. The setup process is entirely code-free, featuring one-click integrations for popular SQL-based sources including Snowflake, BigQuery, Redshift, and PostgreSQL. Its continuous monitoring feature reveals previously unknown insights, while a specialized training and governance workspace allows you to fine-tune its functionality and uphold accuracy. Built for efficiency and ease of use, Dot eliminates the clutter of multiple dashboards by providing exact answers in mere seconds, transforming the way data is accessed and utilized. Moreover, this innovative tool not only enhances productivity but also empowers users to make data-driven decisions with confidence.

Description

PandaAI is an innovative platform powered by artificial intelligence that converts natural language questions into meaningful data insights, simplifying the data analysis workflow. With this tool, users can easily link their databases, resulting in immediate report creation through intelligent AI and text-to-SQL functionalities. The platform promotes user engagement with data by enabling conversational AI capabilities, which make querying feel more natural and intuitive. Additionally, it supports collaboration among team members, allowing users to save their findings as data snippets to share seamlessly with others. To begin utilizing PandaAI, users need to install the pandasai library in Python, configure their API key, upload their datasets, and send them to the platform for thorough analysis. Once set up, users can harness the power of AI to unlock deeper insights from their data, enhancing decision-making and strategic planning.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

SQL
Amazon Redshift
Databricks Data Intelligence Platform
DuckDB
Google Cloud BigQuery
Google Cloud Platform
Google Sheets
Looker
Metabase
Microsoft Azure
Microsoft Teams
MySQL
Okta
PostgreSQL
Python
SAP HANA
SQL Server
Slack
Tableau
dbt

Integrations

SQL
Amazon Redshift
Databricks Data Intelligence Platform
DuckDB
Google Cloud BigQuery
Google Cloud Platform
Google Sheets
Looker
Metabase
Microsoft Azure
Microsoft Teams
MySQL
Okta
PostgreSQL
Python
SAP HANA
SQL Server
Slack
Tableau
dbt

Pricing Details

$799 per month
Free Trial
Free Version

Pricing Details

€20 per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

GetDot.ai

Country

United States

Website

www.getdot.ai/

Vendor Details

Company Name

PandaAI

Website

getpanda.ai/

Product Features

Product Features

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