Two Giants, Same Revenue, Completely Different Trajectories
This is one of those moments in enterprise software history worth pausing on.
Databricks and Snowflake — the two companies that have defined the modern data stack — are now both at just about $5 billion in ARR. Databricks just announced $4.8B run-rate growing >55%. Snowflake’s annualized Q3 puts them at roughly the same number, growing 29%.
Same destination. Very different paths. And where they go from here? That’s where it gets fascinating.
The Tale of the Tape
Two companies. Same scale. One valued at nearly 2x the other. Growth is king in the Age of AI.
How Did We Get Here?
Snowflake’s Path: Snowflake was the golden child, and in many ways, still is. The largest software IPO ever. Warren Buffett’s first IPO investment. 158% NRR at listing. They separated compute from storage, made data warehousing actually work in the cloud, and grew like a weed. For years, they were the name in cloud data.
Databricks’ Path: Databricks took the longer road. Born from the Apache Spark project at Berkeley, they were the “data science” company when Snowflake was the “data warehouse” company. They built MLflow, Delta Lake, and bet early that data + AI would converge. They stayed private, kept raising, kept building.
Now they’ve converged at the same revenue. But the growth vectors are pointing in very different directions.
The Growth Gap Is The Whole Story
Let’s be clear about what >55% vs 29% growth means at $5B scale.
Databricks at 55% growth at ~$5B ARR:
- $5B → $7.75B next year
- $7.75B → $12B the year after
- Path to $15B+ ARR by 2027
Snowflake at 29% growth at $5B ARR:
- $5B → $6.45B next year
- $6.45B → $8.3B the year after
- Path to $10B ARR by 2027
That’s a $5 billion gap in just two years if current trajectories hold. No wonder the valuation multiple is so different.
The question isn’t whether 29% growth is good (it’s excellent at scale). The question is whether Snowflake can continue to re-accelerate — and whether Databricks can sustain.
Snowflake in fact has re-accelerated. Just not to Databricks’ level of growth.
The Net Retention Divergence
This is the metric that should keep Snowflake’s board up at night.
Databricks: >140% NRR
This means existing customers are spending 40%+ more year-over-year. At $5B scale, that’s extraordinary. It signals that customers are expanding use cases, adding workloads, and going deeper.
Snowflake: 125% NRR … today
Still great! But it was 158% at IPO. Then 171% at peak. Then 135%. Then 127%. Now 125%.
The trend line matters. When your best-in-class metric is declining every quarter, you have a product velocity problem, a competitive problem, or both.
Snowflake’s management says NRR has “stabilized” at 125%. Maybe. But stabilizing at a lower level isn’t the same as re-accelerating.
The AI Revenue Chasm
Here’s the number that explains everything else.
- Databricks: >$1 billion in AI revenue run-rate
- Snowflake: $100 million in AI revenue run-rate
That’s a 10x gap on the metric that matters most for the next decade.
Databricks’ AI products crossed $1 billion because they’ve been building for AI, in some form or another, since inception. MLflow. Feature Store. Model serving. Vector search. And now Agent Bricks — their platform for building AI agents on enterprise data.
Snowflake is playing catch-up. Their Cortex AI family is showing “significant adoption” and AI is “linked to roughly 50% of new bookings.” Those are good leading indicators. But $100M vs $1B+ is a canyon.
Here’s the uncomfortable truth: enterprises are making their AI platform bets right now. Whoever wins the initial deployment often wins the expansion. Databricks has a massive head start.
The Data Warehousing Counterattack
But wait — Databricks has its own catching-up story.
Databricks’ Data Warehousing business crossed $1 billion in revenue run-rate. That’s Snowflake’s home turf. And Databricks is taking share.
The “Lakehouse” architecture — combining data lake flexibility with data warehouse performance — is winning enterprises who don’t want two systems. Why pay for a warehouse AND a lake when you can have one platform that does both?
Snowflake’s response has been to embrace open formats (Iceberg tables) and build out their own AI capabilities. But they’re now fighting a two-front war: defending warehousing while attacking AI.
Databricks is also fighting two fronts — but they’re attacking on both.
Where Does Snowflake Go From Here?
Snowflake has real advantages that shouldn’t be dismissed:
- Ease of use. Management isn’t wrong that they’re “the easiest and most cost-effective enterprise data platform.” SQL analysts love Snowflake.
- Installed base. 688 customers paying $1M+, 766 Forbes Global 2000 customers. That’s a fortress of recurring revenue.
- Partnerships. Deep integrations with SAP, Anthropic, Google Cloud. The ecosystem is strong.
- Cash. $4.4 billion in cash and investments. They can buy their way into adjacencies.
The bull case: Snowflake’s AI products hit an inflection point in 2025-2026. Cortex AI, Snowflake Intelligence, and their data sharing moat combine to drive NRR back above 130%. The “AI Data Cloud” narrative becomes reality, not aspiration.
The bear case: Growth continues decelerating toward 20%. NRR slides to 120%. Databricks takes material warehousing share while extending the AI lead. The multiple compresses further.
What to watch: Q4 guidance (27% growth) and whether AI revenue can 5-10x in 2026. If Snowflake can get to $500M+ AI revenue by end of FY27, the narrative shifts.
Where Does Databricks Go From Here?
Databricks’ position looks enviable, but staying private at $134B creates its own pressures:
- The IPO question. At some point, employees and early investors need liquidity. The Series L includes employee liquidity, but the clock is ticking.
- Growth sustainability. 55% at $5B is remarkable. 55% at $10B would be historic. Can they sustain it?
- Margin expansion. They’re FCF positive, but public markets will want to see GAAP profitability at scale.
- Competition. Not just Snowflake — but the hyperscalers. AWS, Azure, and GCP all want this workload.
The bull case: Databricks IPOs in 2026 at $150B+. AI revenue hits $3B+. They become the default enterprise AI platform. The “data intelligence” category is theirs.
The bear case: Growth slows to 35-40% as the law of large numbers kicks in. Public market debut disappoints relative to private valuation. Competition intensifies from both Snowflake and hyperscalers.
What to watch: IPO timing, AI revenue trajectory, and whether they can maintain >50% growth through 2025.
The $200 Billion Question
Together, these two companies represent over $200 billion in combined value. They’ve defined how enterprises think about data for the past decade.
But here’s what founders and operators should internalize:
1. At $5B ARR, growth rate is still the primary value driver. 55% growth at scale commands nearly 2x the multiple of 29% growth. Don’t let up on the gas.
2. NRR is the canary in the coal mine. Snowflake’s decline from 158% to 125% foreshadowed everything else. If your best customers aren’t expanding, you have a problem.
3. Timing market shifts is everything. Databricks bet on AI convergence years before it was obvious. That head start is now a $1B+ revenue stream.
4. Private markets are extraordinarily generous — for now. Databricks at 28x revenue while private; Snowflake at 15x while public. That gap will close when Databricks goes public.
5. Both can win, but one will win more. The enterprise data market is enormous. But platform consolidation is real. Whoever wins the AI workload likely wins the data workload too.
Two Adjacent Leaders. Same Revenue, Today. Completely Different Stories.
Snowflake is a great company with decelerating growth trying to pivot into AI. Databricks is a great company with accelerating growth that bet on AI years ago.
At $5B ARR, the decisions both companies make over the next 12-18 months will determine whether the gap widens or closes.
My guess? Databricks extends the lead. Their AI revenue advantage is structural, not cyclical. Their architecture is purpose-built for what enterprises need next. And their execution has been flawless.
But Snowflake has surprised us before. And $74B companies with 29% growth and massive installed bases don’t go away quietly.
Place your bets.
Data from Snowflake Q3 FY26 earnings (December 3, 2025) and Databricks Series L announcement (December 16, 2025).
