TalktoData vs Brewit Detailed comparison features, price

TalktoData

TalktoData is an AI data analyst tool designed to simplify data analysis. It allows users to connect to various data sources, including spreadsheets and SQL databases, and interact with their data using natural language.

This tool provides instant answers and visualizations, making complex data analysis accessible to everyone. With TalktoData, users can perform advanced data analysis techniques such as correlation analysis, segmentation, and forecasting.

Brewit

Brewit is an AI-powered data analysis tool designed to streamline the process of making data-driven decisions. It empowers users with self-service analytics, eliminating the need for extensive manual data processing.

The platform integrates with various databases and data warehouses, including Postgres, MySQL, Snowflake, and BigQuery. Brewit enables users to interact with their data through natural language, generating SQL queries and recommended charts based on user questions, facilitates in-depth data analysis and has built-in data catalog for consistent business logic. It simplifies report creation with a Notion-style notebook editor, converting raw data into actionable insights.

TalktoData

Pricing

Freemium

Brewit

Pricing

Contact for Pricing

TalktoData

Features

Data Connection: Easily connect to structured data in Spreadsheets and SQL databases.
Natural Language Interface: Ask questions in natural language and generate insightful reports.
Advanced Analysis: Perform advanced data analysis like correlation analysis, segmentation, and forecasting.
Instant Visualizations: Get elegant visualizations of your data instantly.

Brewit

Features

Database Integrations: Connects to Postgres, MySQL, Snowflake, BigQuery, and more.
Chat with Data: Write SQL queries and create charts based on your data questions.
Data Catalog: Ensure answer accuracy and consistency with built-in data catalog.
Report Building: Create reports and dashboards with a Notion-style notebook editor.

TalktoData

Use cases

Quick data analysis for business insights.
Generating reports from connected databases.
Performing advanced analysis on business data.
Data exploration through natural language questions.

Brewit

Use cases

Self-service data analysis
Generating SQL queries from natural language
Creating data visualizations
Building data reports and dashboards
Ensuring data consistency across an organization

TalktoData

FAQs

What data sources are supported?

We currently support most of the structured data format files like Excel Spreadsheets, CSV Files, Google sheets. We also support large SQL databases like MySQL, PostgreSQL, BigQuery and Snowflake. If you have any specific requirements for data sources, email us.

What is TalktoData AI data privacy policy?

Our security measures We at Julius respect your data privacy and are strongly committed to keeping secure any data we are provided. Below are several best practices we have implemented to protect your data. Secure access controls. Files are stored temporarily to user specific temporary workspaces which are deleted after a period of inactivity. Sandboxed execution. Even our Python code execution environments are sandboxed by user. Default encryption at rest. All data sources that are connected to Julius are protected by encryption at the storage layer using the Advanced Encryption Standard (AES) algorithm, AES-256. Complete control. Whenever you delete a data source, all traces of the data are completely erased from our servers.

I'm having a problem working with TalktoData. How to get help?

Please reach out to us through the Live Chat at the bottom right corner, we will respond as soon as possible. You can also email us at vinod@talktodata.ai

Is this free?

Yes! By default, all users can send up to 10 messages a month with our most advanced AI model. Once you hit the monthly limit, you can upgrade your plan to Pro within our application.

Why is it taking so long to get answers ?

We are sorry you are facing this, we are constantly trying to improve this issue. For now please try the below steps: Try to remove any empty rows or columns before uploading the file to TalktoData. Sometimes, rows with blank columns can also exist. And try to avoid asking broader questions like "Give me an overview of this data" as a first question. It may take more time to review the entire data on the first go. (Instead, ask something like "What are all the column names?", then proceed to ask whatever you want. This will reduce the response times to < 20 seconds) Sometimes, if the responses are not coming, Try starting a New Chat, by connecting a file and asking questions. If all of those don't work, Come back after a couple of hours and try again.

Brewit

FAQs

Who is Brewit built for?

The content does not explicitly mention who it is built for, implying a broad target audience within data analysis.

How do you ensure the security of my data?

The website lists a dedicated 'Security' page, indicating measures are in place, but details are not provided in the given content.

Can I self-host Brewit?

The provided content does not specify if Brewit can be self-hosted.

Can I use custom LLMs?

The provided content does not specify if Brewit allow users to use custom LLMs.