Tilores Studio desktop entity resolution vs Supernova
Side-by-side comparison of features, pros & cons, pricing, and community votes (2026).
🏆 Supernova leads with 333 upvotes
Entity resolution on your machine. No cloud, no signup.
Tilores Studio desktop entity resolution offers a groundbreaking approach to data deduplication and record matching by bringing enterprise-grade capabilities directly to your local machine. Designed for data scientists, analysts, and developers who prioritize privacy and control, it eliminates the need for cloud-based solutions, sign-up processes, or data transfers. Users can load CSV files, perform real-time entity resolution, and see immediate results—all locally on macOS, Windows, or Linux. Its integration with a local MCP server enhances AI assistant functionalities like Claude Code and Codex, enabling seamless search, import, and steering of data without compromising security. This tool democratizes enterprise-quality entity resolution, making it accessible, fast, and secure for smaller teams or individual users. Its free tier supporting up to 100,000 records makes it an attractive option for startups and data professionals seeking privacy-conscious data cleaning without cloud dependencies.
Pros
- Runs entirely on local machine, ensuring data privacy and security
- No cloud or sign-up required, quick setup and immediate use
- Supports large datasets up to 100k records in the free tier
- Cross-platform compatibility for macOS, Windows, and Linux
- Integrates with AI assistants for enhanced data management
Cons
- Limited to 100,000 records in the free tier, may require licensing for larger datasets
- Lacks cloud collaboration features for remote teams
- Potentially steep learning curve for users unfamiliar with entity resolution
Best for
- • Data deduplication for CRM or customer databases
- • Pre-processing data for machine learning projects
- • Data cleansing for compliance and data quality initiatives
- • Local entity resolution for sensitive or proprietary datasets
Pricing: Likely offers a freemium model with a free tier supporting up to 100,000 records; paid plans probably available for larger datasets or additional features, though specific pricing details are not publicly specified.
All your data in Claude and Codex
Supernova is a powerful data integration and AI analysis platform designed for startups and data-driven teams. It connects seamlessly with popular business tools like Stripe, HubSpot, and PostgreSQL, enabling users to quickly access and analyze live data without relying on traditional BI stacks or extensive engineering support. By integrating directly with AI models such as Claude and Codex, Supernova allows anyone in a team to ask complex questions, investigate performance metrics, and perform deep data analyses effortlessly. Its user-friendly approach democratizes data insights, making advanced analytics accessible to non-technical users while maintaining the flexibility needed for sophisticated investigations. This tool is especially valuable for startups seeking rapid insights into revenue, pipeline, customer behavior, and operational metrics, all within the familiar environment of AI-powered interfaces.
Pros
- Easy integration with over 30 popular apps and data sources
- Empowers non-technical team members to perform complex analysis
- Leverages advanced AI models for natural language querying and insights
- Reduces dependency on engineering resources and traditional BI tools
- Real-time data connectivity for up-to-date insights
Cons
- Limited information on pricing and plans available publicly
- May require some setup time to connect multiple data sources
- Potential learning curve for users unfamiliar with AI-powered querying
Best for
- • Analyzing real-time revenue and sales pipeline performance
- • Investigating customer engagement and retention metrics
- • Performing operational analysis without heavy engineering involvement
- • Generating ad-hoc reports using natural language questions
Pricing: Likely operates on a subscription-based model with tiered plans, possibly including a freemium option, but specific pricing details are not publicly available. It appears targeted at startups and small teams seeking accessible data analysis tools.