Data and analytics

Interactive dashboards for data warehouses

Tilework · Build interactive React apps on your data warehouse, with secure API access

WatchingDraft scoreEmerging market · since 2022 · AI estimate

36PWAS score

Confidence

Based on 9 of 9 factors

Overview

AIThis description was written by a model from public signals. The facts behind it are listed under Evidence.

Problem: Organizations need to build interactive, code-driven applications on top of their data warehouses that go beyond static dashboards. Current BI tools fall short when users want more ambitious, interactive UIs that can make secure external API requests and work as internal apps rather than passive reports.
Solution concept: A platform that lets teams build interactive React applications directly connected to their data warehouse with secure external API integration, enabling more ambitious, code-driven internal apps that work as functional business tools rather than read-only dashboards. The product would make it easier to create interactive UIs that leverage both warehouse data and external data sources without manual credential management.
Who has it: Data engineers, analytics teams, and technical users working with data warehouses at organizations using ETL platforms and BI tools.
How they handle it today: Currently, teams either build custom applications manually to layer on top of data warehouses, or use traditional BI dashboarding tools that have limited interactivity and don't easily connect to external APIs or support code-driven development approaches.
Why now: AI agents and code-driven approaches are becoming more prevalent in data work, requiring more flexible dashboarding solutions. Teams want to go beyond traditional BI to build functional applications on their data, and the tooling to make this accessible is emerging.
How it could charge: Subscription-based pricing model tied to usage (execution volume, data queried, or number of deployed apps), similar to modern data platform pricing where computational costs scale with usage.

Score breakdown

A model sorted each factor into a rubric bucket; code turned buckets into numbers. Unknown factors are left out of the score and lower confidence instead.

Market validation

Confidence 70 · 1 evidence · Multiple established competitors (Bruin with Dashboard-as-Code features) exist in this space, and evidence shows repeated demand for converting dashboards into interactive applications.

Revenue evidence

Confidence 95 · 1 evidence · Bruin, the primary competitor, has public claims of paying customers with a subscription model including paid plans and tiered pricing.

Growth

Confidence 70 · 1 evidence · Code-driven data approaches are described as becoming necessary for modern data work, and competitors like Bruin are actively launching and expanding features in this category.

Problem severity

Confidence 30 · Judged from the description · The problem causes regular friction and cost: teams must either build custom applications manually or accept the limitations of static BI tools, representing hours of developer time lost.

Economic proximity

Confidence 30 · Judged from the description · The product is primarily analytics and reporting on data warehouses, sitting one step away from direct revenue operations rather than at the point of sale or cost savings.

Distribution

Confidence 30 · Judged from the description · Interactive internal applications built on this platform are private tools used only within organizations; external visibility is minimal.

Buildability

Confidence 30 · Judged from the description · Building this requires complex integrations with multiple data warehouse APIs, secure credential management, and React application hosting—more than commodity components but achievable.

Differentiation

Confidence 70 · 2 evidence · The gap in manual credential management and API integration (E2) is a clear user pain point, but Bruin has already begun closing this gap with its Dashboard-as-Code feature, leaving only incremental differentiation angles.

Retention and timing

Confidence 70 · 1 evidence · Data applications are built once but used repeatedly by teams, creating recurring workflows, and the timing tailwind of code-driven data culture is clear.

Risk penalties

Depends on one platformThe product's value depends on integration with specific data warehouse platforms (Snowflake, BigQuery, etc.); a major platform's own native tooling could make the solution obsolete.−6
Extreme competitionBruin, a well-funded competitor, has already launched Dashboard-as-Code and is actively expanding into this exact space with feature parity and customer lock-in.−6

Score history

36 · confidence 54 · config v1First score · 17 Oct 2026

Interactive dashboards for data warehouses

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Evidence · 5 items

Market validation

Revenue evidence

Differentiation

Retention and timing

Market

Existing products

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