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Stock Comparison · Single-driver result

Datadog vs MongoDB: Which Stock Looks Stronger in 2026?

The structural profiles are close, with Datadog carrying a narrow edge on profitability. MongoDB still has the edge on valuation, which keeps the comparison from looking entirely one-sided. Both sides have seen trend damage — neither carries a clear market edge right now. With both trends damaged, the structural comparison carries most of the weight here.

The comparison is based on similar long-term financial trajectories, not sector labels.

Updated 2026-04-05

Profitability is the clearest driver, while valuation keeps the result from looking one-way.

Trajectory Similarity
0.70
Similar
Peer-set rank: #10
within Datadog, Inc.'s functional peer set

This comparison is anchored in long-term financial trajectory similarity within the selected peer universe.

This level of similarity signals a strong structural match, even though some dimensions still separate the two companies.

Most of the shared profile comes through capital structure and revenue growth trajectory.

Similarity drivers
capital structurerevenue growth trajectory
How to read the score
0.85–1.00 · Very similar0.70–0.84 · Similar0.55–0.69 · Moderately similarbelow 0.55 · Loose match
Peer-Relative Score
DDOG
Datadog, Inc.
40
Peer-Score
Signal qualityHigh
vs
MDB
MongoDB, Inc.
37
Peer-Score
Signal qualityHigh

Scores reflect position relative to comparable companies with similar long-term financial trajectories.

The clearest separation appears in profitability.

Dimension spread: DDOG vs MDB Profitability 63 9 Stability 36 28 Valuation 8 58 Growth 57 55 DDOG MDB
Gap Ranking
#1 Profitability +54
#2 Valuation +50
#3 Stability +8
#4 Growth +2
Price Setup

Left means cheaper relative valuation. Higher means stronger structure.

Price setup map for DDOG and MDB Stronger + cheaper Stronger + richer Weaker + cheaper Weaker + richer DDOGMDB Relative valuation Structural strength

The setup splits cleanly: structure favours Datadog, Inc., while the price setup favours MongoDB, Inc..

Valuation position uses peer-relative PE percentile (idx_pct_pe) and Forward P/E where available.

Relative Position vs Comparable Companies
Profitability
On profitability, Datadog, Inc. is positioned higher in the group, while MongoDB, Inc. is closer to the middle.
Valuation
On valuation, MongoDB, Inc. is positioned higher in the group, while Datadog, Inc. is closer to the middle.
Profitability — Dominant Gap
DDOG
63
MDB
9
Gap+54in favour of DDOG

Capital efficiency adds support, with a 52-point ROIC advantage.

What keeps the gap from being one-sided

Absolute pricing still looks more supportive for MongoDB, with a forward P/E that is 9.9 turns lower there.

What this means for the comparison

The main read on profitability is clearer than the broader score gap.

Explore full peer positioning in AssetNext

Break down the DDOG vs MDB comparison across all dimensions with the full interactive tool.

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Other comparisons with conflicting dimension signals

Explore how DDOG and MDB each compare against other companies in their peer groups.

Rule-based, descriptive analysis only. Derived from peer percentile dimensions. Not investment advice. Peer groups are determined algorithmically based on structural similarity — not by sector classification alone.

How AssetNext Peer Scores Work

AssetNext scores reflect each company's structural position within its functional peer group — not a ranking against all stocks simultaneously. Peers are identified by similarity across eight financial dimensions, including revenue growth trajectory, margin structure, capital intensity, and earnings stability. A score of 75 means the company ranks in the top quartile within its own peer group, not the entire market.

Four dimension scores drive the overall peer score: Growth (revenue trajectory and expansion dynamics), Quality (margin structure and capital efficiency), Valuation (peer-relative pricing on standard multiples), and Stability (earnings consistency and financial predictability). Each dimension is scored 0–100 relative to the peer group, then combined into an overall peer score using equal weighting.

Scores are recalculated periodically as underlying financial data is updated. All analysis is descriptive and rule-based — AssetNext describes structural realities and never issues buy, sell or hold recommendations.