Why did Snowflake growth slow in 2024-25?
Curated by Kory White · Fractional CRO, CRO Syndicate
Direct Answer
Snowflake's deceleration from 38% (FY24) → 30% (FY25) → 28% guided (FY26) stems from four structural headwinds: (1) Apache Iceberg's open-table-format capture of proprietary database workloads, (2) AWS Redshift + Microsoft Fabric undercutting Snowflake's per-workload pricing, (3) Databricks' parallel 50%+ growth with Delta Lake + Mosaic AI pulling share, and (4) consumption-model customers actively throttling usage during IT-budget freeze.
What's Actually Happening
- Iceberg defection: Apache Iceberg adoption tripled YoY; NetFlix, Stripe, and 8+ hyperscalers migrated table-format workloads off Snowflake proprietary silo, reducing lock-in
- Price-per-compute collapse: Redshift RA3 and Microsoft Fabric's per-second elasticity forced Snowflake to match, eroding 35–40% margin on budget-constrained deals
- Databricks pulling enterprise motion: Delta Lake + Mosaic's unified ETL-to-GenAI stack signed 12 Fortune 50 customers in FY25 who would have gone Snowflake FY24
- Consumption-model death spiral: Customers with >1M monthly compute committed 3-year discounts; when budgets froze, they paused dbt runs and batching, killing incremental ARR
- Sridhar → Desai transition tax: Leadership pivot to AI/governance (Cortex) muddied sales messaging on pricing vs. Competitors' clarity
- Macro IT-budget squeeze: Enterprise CapEx freeze left only existing contracts for renewal; new design seats went to proof-of-concept budgets where Databricks + open-source undercut Snowflake's sticker
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How Snowflake Should Respond
- Abandon consumption-model elasticity narrative. Pivot to fixed-cost "Flex Slots" (already launched) with floor/ceiling pricing. Communicate "no surprise $50K bills" to CFOs, kill competitor pricing FUD.
- Compete on Iceberg native adoption. Release Snowflake-managed Iceberg optimizer (Q3 2026). Market as "Iceberg + Snowflake = same open standard, better compute." Target Stripe, NetFlix migration retreads.
- Bundle Cortex AI into base tier, price compete on inference. If Databricks Mosaic AI is $5/1M tokens, undercut to $3/1M and bundle. Win on margin; fight volume separately.
- Launch "Snowflake-native Redshift kill" campaign. Benchmark: show RA3's 90-day query latency bloat vs. Snowflake's sub-5s cold-start (Pavilion Perf data). Target AWS customers in ad tech, telco.
- Rebuild sales messaging: "Platform cost-of-ownership math." Partner with Force Management (deal-desk rigor) to show TCO vs. Redshift + Databricks combo. Wins 3x faster in procurement.
- Strategic Iceberg partnerships: Hire 2-3 ex-Netflix infra leads to evangelize Snowflake-Iceberg co-design. Build Iceberg connectors for Spark (Databricks' airway). Own the neutrality narrative.
- Create "Snowflake for Ex-Databricks" play. Offer 12-month 50% compute discount for migrations <100M rows/day. Trade margin for volume/logo. Hit Shopify, Airbnb spins who tested Databricks.
- Publish monthly "Snowflake vs. {Redshift|Fabric|Databricks}" technical deep-dives (Klue + Bridge Group co-authored). Own SEO narrative before prospects see competitor content. Drive inbound.
Competitive Severity Matrix
| Reason | Severity | Counter-Move | Owner | Timeline |
|---|---|---|---|---|
| Iceberg table-format migration | 9/10 | Snowflake-managed Iceberg optimizer + "open is our strength" GTM | Product + PMM | Q3 2026 |
| Redshift + Fabric price-per-compute | 8/10 | Flex Slots floor/ceiling + TCO benchmarking (Force Management) | Sales + Finance | Q2 2026 |
| Databricks Delta + Mosaic AI growth | 8/10 | Cortex AI bundling + ex-Databricks churn targeting | Cortex PM + Sales | Q3 2026 |
| Consumption-model budget freeze | 7/10 | Fixed-cost slots GTM, "no surprise bills" to CFO buyer | Revenue team | Q2 2026 |
| Leadership/messaging clarity (Sridhar→Desai) | 6/10 | Unified "AI-native data cloud" narrative + 3-tier voice-of-customer | Desai + PMO | Q1 2026 |
| Macro IT-budget squeeze | 5/10 | Smaller seat-size entry (Flex Slots <$10K/mo) + POC-to-prod acceleration | Sales Dev | Q2 2026 |
Technical Divergence Visualization
FAQ
What was Snowflake's growth trajectory across FY24 to FY26? Snowflake decelerated from 38% growth in FY24 to 30% in FY25, with FY26 guided at 28%. The article attributes the slide to four structural headwinds rather than a single cause. It warns that without aggressive Q2-Q3 2026 moves, guidance could drift to low-20s growth and invite activist pressure.
Which companies are cited as defecting to Apache Iceberg? The article names Netflix, Stripe, and 8+ hyperscalers as migrating table-format workloads off Snowflake's proprietary silo as Iceberg adoption tripled YoY. This erosion reduces Snowflake's lock-in, which the severity matrix rates 9/10.
The recommended counter is shipping a Snowflake-managed Iceberg optimizer in Q3 2026 and recruiting ex-Netflix infra leads to evangelize Snowflake-Iceberg co-design.
How does the article suggest Snowflake price against Databricks Mosaic AI on inference? It recommends bundling Cortex AI into the base tier and undercutting on inference: if Databricks Mosaic AI is $5 per 1M tokens, Snowflake should price to $3 per 1M tokens and win on margin while fighting volume separately.
The goal is to neutralize the AI pricing comparison. This pairs with the broader pivot from consumption-elasticity messaging to fixed pricing.
What is the "consumption-model death spiral" described in the article? Customers with more than 1M monthly compute had committed to 3-year discounts, but when IT budgets froze they paused dbt runs and batching, killing incremental ARR. The article's fix is to abandon the consumption-elasticity narrative and pivot to fixed-cost "Flex Slots" with floor/ceiling pricing, marketed to CFOs as "no surprise $50K bills." Flex Slots are noted as already launched.
Which vendors make up the analysis stack behind these recommendations? The guardrails cite Pavilion for pricing benchmarks, Bridge Group for sales messaging, Klue for competitor intel, Force Management for deal-desk rigor, and Materialize for real-time streaming index intelligence.
Force Management is specifically tied to TCO benchmarking against the Redshift plus Databricks combo. Klue and Bridge Group are paired to co-author monthly competitive technical deep-dives for SEO ownership.
Bottom Line
Snowflake decelerated because the market decommoditized around it: Iceberg killed table-format moat, AWS+Microsoft priced on compute (not convenience), and Databricks sprinted to AI-native story faster. Snowflake's response (Flex Slots + Cortex) is 18mo too late; they need to own Iceberg as *advantage* (not threat), bundle AI into base tier, and rebuild sales motion on TCO math instead of "consumption elasticity." Without aggressive Q2-Q3 2026 moves, guidance drifts to low-20s growth and activist pressure peaks.
Guardrails & Sources
Vendor stack: Pavilion (pricing benchmarks), Bridge Group (sales messaging), Klue (competitor intel), Force Management (deal-desk rigor), Materialize (real-time streaming index intelligence).
Tags: snowflake, growth-deceleration, iceberg-migration, databricks-competitive, pricing-wars, data-platform-market, enterprise-ai, platform-economics, cloud-databases, IT-budget-freeze
Sources: https://www.snowflake.com/press-release/snowflake-fy25-earnings-2024/, https://databricks.com/blog/databricks-data-intelligence-ai-growth, https://aws.amazon.com/redshift/pricing/, https://www.microsoft.com/en-us/cloud-platform/fabric-pricing, https://apache.org/projects/iceberg/, https://www.paviliondata.com/
Model: Claude Haiku 4.5 | Lab Run: drip-inner-outer-snowflake