What is Vazy?
Vazy is an intuitive AI-driven data analysis tool designed to simplify and accelerate data-driven decision-making. With Vazy, users can ask data-related questions in plain language and receive instant, accurate responses. Powered by advanced genAI models, Vazy automates code generation, SQL query optimization, and dynamic data fetching, eliminating the need for manual data crunching. It’s customizable, secure, and integrates seamlessly with popular platforms like Slack and Teams. Whether you're a small team or a large enterprise, Vazy adapts to your needs with transparent pricing and priority support for larger organizations.
Key Features:
🤖 AI-Powered Data Queries
Ask data-related questions in natural language and let Vazy generate the code and fetch the data for you. No more manual SQL queries!📊 Interactive Dashboards
Create and customize interactive dashboards with ease. Ask follow-up questions directly within the dashboard and share or export your insights effortlessly.🔒 Enterprise-Grade Security
Vazy ensures your data's safety with GDPR compliance and SOC2 certification (2024). You have full control over access, and Vazy only requires metadata for setup.🤝 Collaborative & Integrative
Seamlessly integrate Vazy with Slack, Teams, and other BI tools like Metabase. Collaborate with your team in real-time, ensuring everyone is on the same page.💲 Simple & Transparent Pricing
Choose between monthly or yearly billing with no hidden fees. The Pro plan starts at $29/month/user, and Enterprise plans offer customized solutions and priority support.
Use Cases:
Small Marketing Team
A small marketing team needs quick insights from their campaign data stored in BigQuery. Instead of waiting for the data analyst to run complex queries, they use Vazy to ask questions like "What was the ROI of our last email campaign?" and get instant answers with customizable dashboards.Large E-Commerce Company
An e-commerce company with multiple data sources wants to analyze sales trends across different regions. Using Vazy’s AI-driven analysis, they connect to all their databases and generate comprehensive reports with just a few clicks, enabling faster decision-making.Financial Analyst
A financial analyst needs to pull data from Snowflake to prepare a quarterly report. With Vazy, they simply ask, "Show me the top-performing investments this quarter," and the tool generates the necessary SQL code, fetches the data, and creates an interactive dashboard for further exploration.
Conclusion:
Vazy is the ultimate AI co-pilot for data analysis, designed to make your life easier and your decisions smarter. With its ability to answer data questions instantly, generate code automatically, and integrate seamlessly with your existing tools, Vazy empowers both small teams and large enterprises to harness the power of their data without the usual hassle. Its enterprise-grade security and transparent pricing further solidify its position as a reliable, scalable solution for all your data needs.
FAQs:
1. To which databases does Vazy connect?
Vazy connects to all SQL relational databases, including BigQuery, Snowflake, SQLite, and DuckDB. The 'Teams' plan handles connections to multiple data sources.
2. How does the onboarding process work?
Onboarding requires a data catalog with metadata and context about your company. Vazy can generate the data catalog for you for free, and the entire process takes about a week.
3. Is my data secure with Vazy?
Yes, Vazy follows GDPR and will be SOC2 compliant in 2024. You have full control over access, and Vazy only needs metadata for setup, ensuring your data remains confidential.
More information on Vazy
Launched
2022-10
Pricing Model
Paid
Starting Price
$34/month/user
Global Rank
27549461
Follow
Month Visit
<5k
Tech used
Google Analytics,Next.js,Vercel,Gzip,OpenGraph,Progressive Web App,Webpack,HSTS
Top 5 Countries
100%
France
Traffic Sources
14.79%
1%
0.25%
7.58%
46.67%
29.71%
social
paidReferrals
mail
referrals
search
direct
Source: Similarweb (Jun 2, 2025)
Vazy was manually vetted by our editorial team and was first featured on 2024-11-28.
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