Head-to-Head Comparison
A direct metrics comparison between Databricks and Figma across the key dimensions that matter most for pre-IPO investors.
| Metric | 📊 Databricks | 🎨 Figma |
|---|---|---|
| Valuation | $62B (Series J, Dec 2024) | ~$25B (estimated, post-Adobe) |
| ARR / Revenue | $3.5B ARR (2025 target) | ~$750M–$1B ARR (est.) |
| Revenue Growth (YoY) | ~50% YoY | ~20-30% YoY (est.) |
| IPO Status | No S-1 filed; 2026 window | No S-1 filed; 2026 likely |
| S-1 Filed? | No | No |
| Sector | Enterprise Data AI / Lakehouse | Design Platform / Collaboration |
| Total Funding Raised | $4.5B+ | ~$333M |
| Key Investors | a16z, T. Rowe Price, NVIDIA, Microsoft, Amazon | Index Ventures, Sequoia, Kleiner Perkins, Durable |
| Founded | 2013 | 2012 |
| Gross Margin Profile | ~75-80% (infrastructure-heavy) | ~85-90% (pure SaaS) |
| Profitability | Not publicly disclosed | Believed near/at profitability |
| Acquisition History | MosaicML ($1.3B), Arcion, 20+ acquisitions | Adobe $20B deal BLOCKED (Dec 2023) |
| Employees | 5,000+ | ~1,200 |
| CEO | Ali Ghodsi | Dylan Field |
Business Analysis
📊 Databricks
Enterprise AI Fast GrowthDatabricks has emerged as the defining enterprise AI infrastructure platform of this era. Founded by the creators of Apache Spark, the company pioneered the "lakehouse" architecture — a unified platform that eliminates the historical divide between data warehouses (fast, structured, expensive) and data lakes (flexible, scalable, unstructured). The result: a single platform where Fortune 500 companies run their data engineering, analytics, and AI/ML workflows.
The company's growth trajectory is remarkable. From $1B ARR in 2023 to $3.5B targeted in 2025, Databricks is growing revenue at roughly 50% year-over-year — exceptional for a company at this scale. The $10B Series J at $62B valuation underscores investor conviction that Databricks is building a durable, category-defining platform, not a feature.
The AI tailwind is real and structural. As enterprises race to deploy LLMs, fine-tune models, and build RAG pipelines, Databricks sits at the data layer that feeds all of it. Its DBRX open-source model and Unity Catalog data governance product extend its reach into every part of the AI workflow. The open-source roots (Spark, Delta Lake, MLflow) create a developer community flywheel that traditional enterprise sales cannot replicate.
Key moat: Platform stickiness. Once an enterprise runs its critical data pipelines and AI models on Databricks, switching costs are enormous — the data, metadata, governance policies, and ML models are all stored in Databricks-native formats.
- Bull case: $3.5B ARR + 50% growth justifies $80-100B IPO valuation
- Bear case: Snowflake, AWS, and Google compete aggressively; margin pressure from AI compute costs
- IPO risk: Needs profitability story before public markets accept the $62B entry
🎨 Figma
High Margins Market LeaderFigma is the category-defining design platform for the modern web. What began as a browser-based interface design tool has expanded into a complete product development environment — from wireframing and prototyping to FigJam collaborative whiteboards and developer handoff tooling. Figma's web-first architecture was years ahead of incumbent desktop tools (Adobe XD, Sketch, InVision), and it captured a generation of designers before they ever opened Photoshop.
The failed Adobe acquisition at $20B (blocked by EU regulators in December 2023) was both a validation and a liberation. The $1B termination fee Figma received provided a cash cushion to accelerate independent growth. Since the deal collapse, Figma has shipped rapidly: new AI-assisted design features, deeper developer handoff integration, and expanded enterprise features targeting its move upmarket into larger organizations.
Figma's business model is exceptional by pure SaaS standards. The product is genuinely beloved by its users — designers, product managers, and engineers who advocate for Figma adoption bottom-up within organizations. This PLG (product-led growth) motion drives extremely efficient customer acquisition. Gross margins are estimated above 85%, and the company is believed to be operating near profitability with its $750M-$1B ARR base.
Key moat: Network effects. Design files shared between designers, developers, and stakeholders create deep organizational dependency. Every new hire at a company that uses Figma immediately adopts Figma. The collaboration layer is almost impossible to replace without a complete workflow disruption.
- Bull case: IPO at $25-30B with near-profitability story; clean SaaS metrics resonate with public market investors
- Bear case: Adobe bundles competitive tools; AI threatens core design workflow; growth rate relatively modest
- IPO risk: Market timing; AI disruption of design workflows is a genuine medium-term risk
Which is the Better Pre-IPO Bet?
Databricks and Figma represent two different investment theses, and the answer depends entirely on your risk tolerance and investment horizon.
For growth-oriented investors: Databricks is the higher-conviction play if you believe enterprise AI infrastructure spending continues to compound. The $62B valuation is justified by the $3.5B ARR trajectory and 50% growth — and the IPO could price at $80B+ if AI market sentiment holds. But the entry point is expensive, the competition from Snowflake and cloud providers is real, and profitability remains unclear.
For value-oriented investors: Figma is the more compelling risk-adjusted bet. The $25B estimated valuation on $750M-$1B ARR is a roughly 25-33x revenue multiple — high, but defensible for a market-leading platform with 85%+ gross margins and near-profitability. The Adobe deal failure was painful but left Figma well-capitalized and independent. Its IPO, when it comes, will tell a cleaner financial story than Databricks.
Bottom line: If forced to choose one — Figma offers better downside protection and a cleaner IPO story. Databricks offers more upside if you're willing to bet on the AI infrastructure cycle continuing. Both are category leaders. Both will IPO. The question is price.
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