Head-to-head · Blitz Index v1.0 (frozen) · 2026 Q4

Snowflake vs Datadog

Two enterprise software franchises growing at almost the same speed — and an eleven-point gap anyway. This pairing shows what the Blitz Index actually pays for: not growth, but the kind of moat the growth is building.

Snowflake (SNOW)
76
Grade B
VS
Snowflake by 11
Datadog (DDOG)
65
Grade B
ItemMaxSnowflakeDatadog
A · Speed1918
A1 · Growth/ 1088
A2 · Capital velocity/ 543
A3 · Hiring & productivity/ 533
A4 · Share velocity/ 544
B · Moat4340
B1 · Network effects/ 18128
B2 · Distribution scalability/ 181012
B3 · Market size/ 121010
B4 · Gross margin/ 121110
C · Creative destruction149
C1 · Order being replaced/ 553
C2 · Irreversible behavior change/ 554
C3 · Cost-structure change/ 542
D · BlitzFailing demerits0−2
D1 · Debt/ 1000
D2 · Revenue quality/ 1000
D3 · Governance/ 50−2
D4 · Regulatory & social cost/ 500
Blitz Index total7665

The success line is 65. Demerits (section D) are subtracted; a demerit total of 15 or more flags a company for BlitzFailing watch. Scores as of the 2026 Q4 review (October 21, 2026).

Speed — level, and quietly re-accelerating on both sides

Speed is nearly a tie, 19–18 to Snowflake. Snowflake’s trailing revenue is about $5.4B, up roughly +32%, with Q2 FY2027 at +35% year on year. Datadog has grown at +24% or more for twelve straight quarters and re-accelerated through 2026 (+32%, then +36% in the first half), with FY2026 guidance of $4.45–4.47B. Neither is a 40%+ blitz anymore; both are large franchises still compounding at rates most software companies never reach. The difference in this pairing is not here.

Moat — a network versus a lock-in

The moat gap (43 vs 40) is concentrated in a single item: network effects, 12 vs 8. Snowflake’s data-sharing and clean-room marketplace means each of its 828 customers spending over $1M a year makes the platform more useful to the others, and a 126% net revenue retention rate prices that in — even if retention has cooled from 158% in 2020. Datadog, by the scorecard’s structural judgment, has no direct network effect at all: its 8 rests on ecosystem lock-in instead (85% of customers use two or more products, 37% use six or more). Datadog actually wins distribution, 12 vs 10 — land-and-expand against Snowflake’s heavier enterprise sales motion, where sales and marketing still consumes 44% of revenue. Both earn elite gross margins (Snowflake 67% GAAP, Datadog a 79–82% band), scored 11 and 10.

Creative destruction and demerits — the completed wave versus the contested one

Creative destruction is the widest split: 14 vs 9. Snowflake gets full marks for a replacement that is essentially finished (C1: 5) — on-premise data warehouses gave way to provisioned-in-minutes, consumption-priced cloud platforms, and that behavior change does not reverse (C2: 5). Datadog rides the same cloud migration, but its replacement wave now runs both ways: Gartner’s warning, cited in the scorecard, is that OpenTelemetry and eBPF are commoditizing telemetry collection and lowering the switching barriers Datadog depends on (C1: 3, C3: 2). Finally, Snowflake is one of the cleanest cards in the index — zero demerits — while Datadog pays −2 for a dual-class structure that leaves its two founders with about a third of the vote. That is how an 11-point gap forms between two companies growing at the same speed, and why Datadog sits exactly on the 65 success line while Snowflake clears it comfortably.

How to read this

Both companies passed the same two gates before scoring: real product-market traction (G1), and a ten-year market ceiling of at least ten times current revenue (G2). The Blitz Index then grades speed (25), moat (60) and creative destruction (15), and subtracts BlitzFailing demerits (up to −30) for debt, revenue quality, governance and regulatory cost. The model is frozen at v1.0; past scores are never silently rewritten. Our own pre-registered tests found the score measures business quality — it does not predict stock returns.