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Stock Comparison · Industry comparison · Software - Application

Datadog vs Atlassian: Which Stock Looks Stronger in 2026?

Atlassian leads structurally, with valuation as the clearest single gap between the two profiles. Datadog still leads on profitability and stability, which keeps the comparison from looking entirely one-sided. In the market, Datadog carries the stronger setup — intact trend against Atlassian's broken trend. That leaves a split case: the structural lead stays with Atlassian, but the market is not currently confirming it.

The comparison is based on similar long-term financial trajectories, not sector labels. Both peer scores are relative to the Nasdaq 100 universe, making them directly comparable.

Updated 2026-07-05

Valuation still does most of the heavy lifting in this comparison.

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.
48
Peer-Score
Signal qualitylow
Peer basis: Nasdaq 100
vs
TEAM
Atlassian Corporation
54
Peer-Score
Signal qualityMedium
Peer basis: Nasdaq 100

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

Pricing shapes this comparison more than a broad operating gap.

Dimension spread: DDOG vs TEAM Profitability 74 26 Stability 45 18 Valuation 8 87 Growth 72 81 DDOG TEAM
Gap Ranking
#1 Valuation +79
#2 Profitability +48
#3 Stability +27
#4 Growth +9
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. looks 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.

Entry today — historical context

Where DDOG and TEAM each sit in their own 5-year price and valuation history.

BASED ON 5-YEAR HISTORY DDOG Elevated · above norm 0th 50th 100th 93 pct gap TEAM Lower · below norm 0th 50th 100th 99th 6th
Today TEAM sits in the lower portion of its own 5-year history (6th percentile), while DDOG sits higher in its own history (99th). Within each stock's own 5-year context, TEAM is at a historically more favourable entry position than DDOG. This reflects entry timing, not which company is structurally stronger — peer-relative analysis is a separate question addressed above.

Describes historical entry positioning only. Descriptive — not investment advice.

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
The same broad pattern appears on profitability: Datadog, Inc. ranks near the top of the group, while Atlassian Corporation stays in the weaker half.
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 76 turns lower.

What keeps the gap from being one-sided

Capital efficiency also runs the other way, with a 55-point ROIC edge acting as a real counterforce.

What this means for the comparison

Valuation points more clearly to Atlassian Corporation, but profitability and current pricing keep the broader result mixed.

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.

Because scores are peer-relative, the same company can have slightly different scores in different index universes. On comparison pages, both companies are shown within their shared peer universe wherever possible — so the scores are directly comparable. The peer basis is stated on each score card.

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.