Gross Retention excludes expansion - it shows pure churn / contraction loss. The gap between NRR and GRR is the expansion lift.
Peak NRR of 130% in FY2019-Q2. Latest is 122% - that's -8pp from peak.
Datadog is above the Dev Tools Public median by +12pp (cell median: 110%)
Datadog (DDOG) is a dev tools company at the public stage. As of its most recent disclosure (FY2026-Q1), Datadog reported a Net Revenue Retention rate of 122% - a strong result for B2B SaaS at this segment.
Datadog's NRR peaked at 130% in FY2019-Q2, 8pp above today's level. Over the past three years, the metric has contracted by 8pp. The most recent quarter gained 12pp QoQ.
Within its peer set (dev tools companies at public stage in the $100k-$500k acv band), Datadog's NRR is meaningfully above the cell median of 110%. Compare against the full peer cell aggregate for distribution and top performers.
Contract shape and forward-booked revenue.
Health scores, usage, and time-to-value when disclosed.
Logo flow per period (count-side complement to dollar-based NRR).
Revenue, ARR, and team-size denominators for the productivity ratios.
Support tiers: free tier · free introductory trials
CS team segments: Enterprise (5,000+ employees) · Mid-market (1,000-5,000 employees) · SMB (less than 1,000 employees)
CSM model: account-named
Education programs: DASH
Computed from the data above. Shows where value comes from and where leakage hides.
Named CS initiatives across recent disclosures (newest first).
Proposal to move legal domicile from Delaware to Nevada to provide more predictability and certainty in decision-making.
"The Board has unanimously approved... a proposal to redomicile the Company... from Delaware to Nevada"
Autonomously investigate alerts, surface root causes, and draft summaries about incidents.
"Bits AI SRE Agent to autonomously investigate alerts, surface root causes, and draft summaries about incidents."
Launched fully autonomous AI agents including Bits AI SRE Agent, Dev Agent, and Security Analyst.
"First, we launched fully autonomous AI agents, including Bits AI SRE Agent to investigate alerts..."
New storage tier allowing customers to keep logs for up to seven years in managed storage.
"We announced a Flex Frozen tier so customers can keep logs in fully managed storage for up to seven years"
Pushing Flex Logs and Cloud SIEM to capitalize on competitive openings and drive cost-efficient log retention.
"We definitely see the potential for Logs and Flex Logs in particular to get much broader adoption in the market."
Launching modern scheduling solution OnCall to solve incident management problems for users.
"OnCall is brand new. It just entered GA, but demand is very, very strong."
Create on-call schedules and integrate real-time observability data into incident response plans.
"In 2025, we launched OnCall to create on-call schedules and integrate real-time observability data."
Integration of AI capabilities into the platform for unified observability and security.
"Datadog is the AI-powered observability and security platform for cloud applications."
Challenges acknowledged by management. Useful peer signals - your team is probably not alone.
Increasingly litigious environment in Delaware causing unpredictability and unmeritorious litigation.
"Delaware corporations... have faced an increasingly litigious environment in Delaware in recent years"
Potential for volatility in revenue growth as AI-native customers optimize usage or renew on different terms.
"We remain mindful that we may see volatility in our revenue growth on the backdrop of long-term volume growth"
Customers struggling with inefficiencies and costs from managing dozens of disconnected observability tools.
"This customer has about 100 observability tools... this tool fragmentation has resulted in inefficiencies"
Customers remain cost-conscious and are seeking efficiency and value from their cloud spend.
"customers remaining cost-conscious and seeking efficiency and value from their spend."
AI-native customers are optimizing usage and seeking better terms during contract renewals.
"we did see some optimization and volume discounts related to contract renewals in Q4."
Customers in cloud-native and AI-native cohorts seeking to optimize usage after rapid increases.
"Certain customers... have or in the future may increase usage of our product and then seek to optimize their usage."
Curated quotes about customer outcomes, retention, renewals.
"churn has remained low, with gross revenue retention stable in the mid to high 90s, highlighting the mission-critical nature of our platform"
"customers are running tighter optimization cycles now. We don't think the vast majority of customers build as much overhang"
"As usual, churn has remained low, with gross revenue retention stable in the mid to high 90s."
"We entered the field with On-Call because we wanted to own the end-to-end incident resolution."
"churn has remained low, with gross revenue retention stable in the mid- to high 90s, highlighting the mission-critical nature of our platform"
"we are looking at capacity growth... deepening the ways we interact with customers... manifests itself in our account management and our CS"
Side-by-side NRR, customer cohorts, commercial structure, and CS motion.
Datadog appears on 7 of our retention leaderboards.
Free to embed on your blog or board deck. Includes a small backlink to cust.co.
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| Period | NRR | GRR | Source type | Filing |
|---|---|---|---|---|
| FY2026-Q1 | 122% | - | 10-Q-mdna | source ↗ |
| FY2025-Q4 | 110% | - | 10-Q-mdna | source ↗ |
| FY-2025 | 120% | - | 10-K | source ↗ |
| FY2025-Q3 | 120% | - | 10-Q-mdna | source ↗ |
| FY2025-Q2 | 120% | - | 10-Q-mdna | source ↗ |
| FY2025-Q1 | 118% | 95% | 10-Q-mdna | source ↗ |
| FY2024-Q4 | 118% | 97% | earnings-call-transcript | source ↗ |
| FY-2024 | 118% | - | 10-K | source ↗ |
| FY2024-Q3 | 115% | - | 10-Q-mdna | source ↗ |
| FY2024-Q2 | 115% | - | 10-Q-mdna | source ↗ |
| FY2024-Q1 | 115% | - | 10-Q-mdna | source ↗ |
| FY2021-Q3 | 130% | - | 10-Q-mdna | source ↗ |
| FY2021-Q2 | 130% | - | 10-Q-mdna | source ↗ |
| FY2021-Q1 | 130% | - | 10-Q-mdna | source ↗ |
| FY2020-Q3 | 130% | - | 10-Q-mdna | source ↗ |
| FY2020-Q2 | 130% | - | 10-Q-mdna | source ↗ |
| FY2020-Q1 | 130% | - | 10-Q-mdna | source ↗ |
| FY2019-Q3 | 130% | - | 10-Q-mdna | source ↗ |
| FY2019-Q2 | 130% | - | 10-Q-mdna | source ↗ |
Generate a live retention report against Datadog and your full peer cell. Ungated. Downloadable as PDF.