Datapad

vs.

Sisense

Move beyond complex BI platforms. While Sisense requires technical teams to build ElastiCubes and model data, Datapad's AI creates actionable campaigns and strategies instantly.

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1. Upload Your File
2. Ask a Question
3. Get Insights
Powering the world's best teams.
From next-gen startups to top-tier universities.
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Proudly Serving the World

We're proud to serve the world's largest companies and organizations.

30,000+
Active Users
2 Million
Excel Files Crunched
100k Hours
Saved by Users
< 1 Minute
Avg. Time to Build a Dashboard
HOW IT COMPARES

Datapad delivers AI-powered business intelligence, Sisense offers traditional bi platform requiring complex data modeling and technical setup.

Features

Datapad

Built with customer needs in mind

Sisense logo

Sisense

Traditional BI platform requiring complex data modeling and technical setup

Natural language queries
Advanced conversational AI that understands business context and generates insights
Basic natural language interface with limited understanding
Data source connections
50+ integrations with automated setup and data blending
Many connectors but requires complex ElastiCube modeling and setup
AI-powered insights
Proactive AI analyst that discovers trends and generates business recommendations
Basic AI features but requires manual analysis and interpretation
Campaign generation
Creates actionable marketing campaigns and business strategies from data
Dashboard and reporting focus only, no actionable campaign creation
Easy dashboard creation
AI automatically generates dashboards from natural language questions
Powerful dashboards but require ElastiCube setup and technical knowledge
Team collaboration
Built-in team workspaces with instant sharing and collaborative analysis
Collaboration features available but complex permission management required
Automated reporting
AI-powered scheduled reports with insights and actionable recommendations
Scheduled reporting available but without AI-generated insights
No-code setup
Connect and start analyzing immediately with natural language
Requires ElastiCube modeling, data preparation, and technical setup
Real-time monitoring
Proactive anomaly detection with automated business recommendations
Real-time capabilities but require manual threshold setup and monitoring

AI Agent With
Data Super-Powers

Connect any data source with a simple prompt and watch our AI dive deep into your numbers. Get sophisticated SQL analysis, predictive models, and data insights that would take data scientists weeks to uncover - all from natural language questions about your business.

Hear what our customers are saying

Discover how teams use Datapad to talk to their data like a human analyst, get instant insights, and create actionable deliverables that drive real results.

Sarah Chen

@sarah_data

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Datapad has completely transformed how I analyze our customer data. Instead of spending hours writing complex SQL queries, I can just ask questions in plain English and get instant insights with beautiful visualizations. Our data team's productivity has increased 5x!

David Kim

@david_bi

X logo
The integrations are seamless! We connect all our data sources - Google Analytics, Salesforce, Facebook Ads, and our warehouse - and Datapad blends everything automatically. What used to take days of manual ETL work now happens in minutes.

Amanda Foster

@amanda_ops

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The anomaly detection is incredible. Datapad sends us daily alerts about unusual patterns in our sales data, and even suggests root causes and solutions. We've caught revenue-impacting issues before they became problems.

Mike Rodriguez

@mike_analytics

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The collaboration features are incredible. My marketing team can now ask questions about sales data in real-time during meetings, and Datapad instantly generates custom dashboards. No more waiting for IT to create reports - we get answers immediately with the full context we need.

Rachel Martinez

@rachel_growth

X logo
Datapad doesn't just show you data - it creates the actual deliverables! It generated our complete SEO strategy with keyword targeting, ad optimization to-do lists, and even wrote our blog posts. Copy-paste ready content that actually drives results.

Carlos Mendoza

@carlos_data

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Text2SQL has been a revelation. I can ask complex questions like 'Show me customer LTV by acquisition channel for the past 6 months' and get perfectly optimized queries that run instantly. No more debugging SQL syntax!

Lisa Thompson

@lisa_marketing

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Datapad's AI assistant is like having a senior data analyst on speed dial. It understands our business context and creates actionable insights, not just generic charts. Game-changer for our marketing optimization!

James Wilson

@james_ceo

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As a startup founder, I couldn't afford a full data team. Datapad scales our analytics capabilities at a fraction of the cost. We get enterprise-level insights and automated reports that keep everyone aligned on our KPIs.

Emma Johnson

@emma_strategy

X logo
Datapad's memory layer learns from our conversations and improves over time. It remembers our business context, preferred metrics, and even our team's terminology. It's like having an AI analyst who's been with us for years.

Sisense vs Datapad: Common Questions

How is Datapad different from Sisense?

While Sisense focuses on complex data modeling and traditional BI dashboards, Datapad is an AI-first platform that creates actionable campaigns and strategies. Sisense shows you what happened, Datapad creates what you should do next.

Do I need technical expertise for Datapad vs Sisense?

Datapad requires no technical skills - just natural language questions. Sisense requires data modeling expertise, ElastiCube management, and complex setup procedures that typically need IT involvement.

Can Datapad replace our Sisense implementation?

Yes! Datapad connects to the same data sources as Sisense but eliminates the need for complex data cubes and modeling. Plus, you get AI-powered insights and campaign generation that Sisense doesn't offer.

What about handling large datasets?

Datapad handles enterprise-scale data efficiently through cloud-native architecture, while Sisense relies on ElastiCubes that require ongoing maintenance and optimization. Datapad's AI also automatically optimizes queries.

How does the implementation time compare?

Datapad can be set up in minutes with one-click integrations. Sisense typically requires weeks or months for proper ElastiCube setup, data modeling, and dashboard creation.

What about total cost of ownership?

Datapad's transparent pricing is often significantly lower than Sisense when you factor in implementation costs, ongoing maintenance, training, and the need for technical resources to manage ElastiCubes.

Ready to Turn Your Data Into Action?

Join thousands of teams who've replaced expensive data analysts with Datapad's AI. Get actionable insights and ready-to-deploy campaigns in seconds, not weeks.