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Stock Comparison · Industry comparison · Software - Application

Datadog vs Atlassian: Which Stock Looks Stronger in 2026?

Atlassian holds the cleaner structural position, with the lead spread across valuation and profitability. Datadog still leads on profitability and stability, 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

The result is anchored in valuation, but growth also reinforces the same direction. Atlassian Corporation leads by 9 points on the overall comparison score.

INDUSTRY COMPARISON

Both operate in: Software - Application

This comparison is based on industry proximity, not on functional trajectory similarity. DDOG and TEAM share the same industry classification.

For a similarity-based comparison, see how Datadog and Atlassian each position within their functional peer groups in AssetNext.

Peer-Relative Score
DDOG
Datadog, Inc.
40
Peer-Score
Signal qualityHigh
vs
TEAM
Atlassian Corporation
49
Peer-Score
Signal qualityHigh

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

Score differences across key dimensions.

Dimension spread: DDOG vs TEAM Profitability 63 6 Stability 36 14 Valuation 8 87 Growth 57 90 DDOG TEAM
Gap Ranking
#1 Valuation +79
#2 Profitability +57
#3 Growth +33
#4 Stability +22
Price Setup

Left means cheaper relative valuation. Higher means stronger structure.

Price setup map for DDOG and TEAM Stronger + cheaper Stronger + richer Weaker + cheaper Weaker + richer DDOGTEAM Relative valuation Structural strength

Datadog, Inc. is stronger, but the price setup still looks more supportive for Atlassian Corporation.

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

Relative Position vs Comparable Companies
Valuation
On valuation, Atlassian Corporation ranks near the top of the group; Datadog, Inc. sits in the weaker half.
Profitability
On profitability, Datadog, Inc. is positioned higher in the group, while Atlassian Corporation is closer to the middle.
Valuation — Dominant Gap
DDOG
8
TEAM
87
Gap+79in favour of TEAM

The multiple-based pricing edge comes from a forward P/E that is 31 turns lower.

What keeps the gap from being one-sided

Capital efficiency also runs the other way, with a 50-point ROIC edge acting as a real counterforce.

What this means for the comparison

Valuation settles the comparison, while pricing and profitability keep the broader setup from looking fully aligned.

Explore full peer positioning in AssetNext

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

Explore full breakdown →
Other comparisons with conflicting dimension signals

Explore how DDOG and TEAM 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.