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The comparison with Dynatrace and Cisco needs care. Dynatrace reported 16% revenue growth and 17% ARR growth for the quarter ended June 30, 2026. Cisco’s much larger, diversified business grew total FY2026 revenue 12%, while its observability category grew 4% for the year. These are useful benchmarks, not a perfectly comparable race.
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What “multi-product adoption” means for Datadog investors
Datadog sells a cloud software platform covering observability and related operations use cases. A customer that starts with one product can expand by deploying additional products, increasing usage of what it already owns, extending deployment to more teams, or applying the platform to new workloads. Datadog reports nearly all of its revenue as subscription software revenue, so expansion inside the installed base is economically important.
Multi-product adoption is therefore a leading indicator of account depth. A customer using ten products is generally more embedded than one using a single product, and a broader deployment can create more opportunities for recurring usage. However, product count is not the same as revenue. Datadog does not disclose how much revenue comes from each product or how much of its net retention increase resulted specifically from cross-selling additional products rather than greater consumption of existing products.
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The right question is not whether product breadth is good. It is whether broader adoption is translating into enough recurring expansion to offset slower new-customer growth, competitive pressure, pricing changes or reductions in customer usage.
Datadog’s latest growth evidence
Q2 2026 revenue and the full-year outlook
For the quarter ended in June 2026, Datadog reported revenue of $1.12 billion, an increase of 36% year over year. On August 6, 2026, management issued full-year 2026 revenue guidance of $4.45 billion to $4.47 billion. That range is an outlook, not a realized result or a guarantee; investors should treat it as management’s expectation on the date it was issued.
A quarterly growth rate can be affected by customer timing, consumption patterns and comparisons with the prior year. The guidance range is more useful for judging near-term execution because it sets a target across the full calendar year, but it still depends on renewals, usage and new bookings in future quarters.
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Customer product breadth at December 31, 2025
Datadog’s audited annual filing gives the clearest public view of product adoption. Each of the following percentages was higher than a year earlier:
| Products used by a customer | Share of Datadog customers | Measurement date |
|---|---|---|
| Four or more | Approximately 55% | December 31, 2025 |
| Six or more | 33% | December 31, 2025 |
| Eight or more | 18% | December 31, 2025 |
| Ten or more | 9% | December 31, 2025 |
The figures are cumulative thresholds. For example, the 33% using six or more products is included within the approximately 55% using four or more. They should not be added together. The progression also shows that deep adoption is becoming more common: nearly one in ten customers used at least ten products, while more than half used at least four.
These are year-end 2025 customer metrics, not a Q2 2026 snapshot. They demonstrate the direction of account expansion but do not tell us how quickly the mix changed during the first half of 2026 or how much revenue each group generated.
Net retention and what it captures
Datadog reported trailing-twelve-month dollar-based net retention of about 120% at December 31, 2025, compared with the high-110% range a year earlier. Dollar-based net retention starts with a cohort of existing customers and measures the value of that same cohort after expansion, contraction and churn. A result above 100% means the cohort is worth more than it was at the starting point, before counting sales to new customers.
Datadog attributed the increase to higher usage growth from existing customers. The company describes several expansion paths: increased usage, wider deployments, new use cases and additional product sales. Because those factors are combined in the reported metric, a 120% result should not be interpreted as a 20% cross-sell rate or as evidence that product additions alone produced the increase.
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Net retention also varies with customer behavior. A customer may add a product but reduce usage elsewhere, or consume substantially more of an existing product without buying anything new. The aggregate percentage reflects the net result across the cohort.
How product breadth could support continued growth
Cross-selling increases the number of expansion opportunities
When a customer already relies on several parts of a platform, the vendor has more surfaces on which to expand. A monitoring deployment can lead to security, incident-management, log-management or other operational use cases. Each additional workload can raise the recurring subscription base and make the platform more central to the customer’s operations.
The adoption thresholds suggest that Datadog is progressing beyond isolated point deployments. The most important signal is not any single percentage but the movement across multiple thresholds: 55% at four or more products, 33% at six or more, 18% at eight or more and 9% at ten or more. A broadening distribution indicates that expansion is occurring at different depths, rather than being limited to a small number of very large accounts.
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Datadog’s model is sensitive to how much customers use the platform. More data, hosts, events, applications or teams can increase subscription consumption even when the customer does not purchase a separately named product. This is why a rising net-retention rate can coexist with stable product counts for some accounts.
Usage-based expansion has a benefit and a risk. It can allow revenue to grow naturally with a customer’s operations, but it can also slow quickly when customers optimize data volumes, reduce workloads, delay projects or impose cloud-cost controls. Investors should therefore read product adoption and usage trends together rather than assuming that a larger product catalog guarantees steadily rising consumption.
Product development may create new entry points
Datadog’s Q2 2026 results release highlighted continued product development, including more than 100 capabilities launched at DASH 2026. Chief executive Olivier Pomel said, “We are innovating rapidly to help our customers manage rising complexity, and increasingly build autonomy into their operations.” That statement describes management’s strategy; it is not independent evidence that the new capabilities will produce a specific amount of revenue.
New capabilities can help in two ways: they can give existing customers reasons to adopt more of the platform, and they can make Datadog relevant to teams that did not begin with its traditional observability products. The commercial test is whether those capabilities generate sustained usage, paid deployments and retention rather than short-lived trials.
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What Datadog’s disclosures do not establish
Product count does not prove causation
The public figures show correlation between broader adoption, strong net retention and rapid revenue growth. They do not isolate the cause of that growth. Datadog does not quantify the contribution from cross-selling, higher usage of existing products, price changes, larger customer deployments or new customers.
It would therefore be inaccurate to say that the 55% multi-product figure caused the 36% quarterly revenue increase. The defensible conclusion is narrower: the adoption data are consistent with a platform-expansion strategy that can support growth, and the net-retention data show that existing-customer value increased on a trailing-twelve-month basis.
Past growth is not a forward guarantee
Datadog’s filing warns that prior revenue growth should not be treated as an indication of future performance. Renewal rates, competition, product development and customer usage all affect results. A company can continue adding products while customers reduce spending, delay deployments or consolidate vendors.
The August 6 guidance range also has a defined information date. It should be compared with later reported results, not treated as if the full-year outcome were already known.
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The following table places the reported figures side by side while preserving each company’s measurement basis and fiscal calendar.
| Company and period | Reported growth measure | Additional measure | Business context |
|---|---|---|---|
| Datadog, Q2 2026; quarter ended June 30, 2026 | Revenue of $1.12 billion, up 36% year over year | Full-year 2026 revenue guidance of $4.45 billion–$4.47 billion, issued August 6, 2026 | Observability-focused cloud software platform |
| Dynatrace, Q1 FY2027; quarter ended June 30, 2026 | Revenue of $555 million, up 16% reported | Revenue up 15% in constant currency; ARR of $2.136 billion, up 17% | Observability-focused software vendor |
| Cisco, FY2026; fiscal year ended July 25, 2026 | Total revenue of $63.3 billion, up 12% | Product revenue up 16%; observability category up 4% for FY2026 and 6% in Q4 | Diversified networking, security, collaboration and observability company |
Why Datadog appears faster than Dynatrace
Datadog’s 36% Q2 revenue growth is more than twice Dynatrace’s 16% reported growth for the quarter ended on the same date. That is a meaningful difference in reported growth rates, but it does not establish that Datadog will maintain the spread.
Dynatrace also reports constant-currency growth of 15% and ARR growth of 17%. Revenue and ARR are different measures: revenue records recognized sales during the period, while ARR is a recurring run-rate metric. They should not be substituted for one another or placed in a single ranking without labeling the distinction.
The same quarter-end date makes the timing relatively aligned, but the companies can still differ in customer mix, contract structure, geographic exposure, pricing and accounting. Datadog’s product-adoption percentages cannot be directly mapped to Dynatrace’s ARR growth.
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Why Cisco is a different comparison
Cisco’s FY2026 total revenue reached $63.3 billion, up 12%, and product revenue grew 16%. Its observability product category grew 4% for the full fiscal year and 6% in the fourth quarter. Cisco’s fiscal year ended July 25, 2026, so the annual period is not the same as Datadog’s calendar-year reporting basis.
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More importantly, Cisco is diversified. Networking, security, collaboration and other businesses contribute to consolidated revenue. Cisco’s 4% observability-category growth is useful context for demand in that category, but it is not a pure-play observability growth rate and should not be compared with Datadog’s consolidated 36% as if the businesses had identical mixes.
Risks that could interrupt the high-growth story
Usage can contract even when customers remain
A usage-sensitive subscription model can experience contraction without a formal customer cancellation. Workload reductions, data-volume controls, architecture changes or delayed projects can lower consumption. This matters because Datadog attributed its higher net retention to usage growth; a reversal in usage trends could weaken the same metric.
Cross-selling may become harder at greater depth
The first additional product may address an obvious adjacent need. Selling an eighth or tenth product can require more budget, technical integration and organizational approval. The rising share of deeply adopted customers is encouraging, but the pace of future expansion may slow as the easiest opportunities are captured.
Competition and product execution remain material
Datadog’s filing identifies competition and product development as important business factors. Rivals can offer bundled functionality, lower prices, alternative architectures or specialized tools. Datadog must keep improving the platform while ensuring that new capabilities are reliable, secure and useful enough to win paid adoption.
Renewals determine whether expansion is durable
Net retention is calculated for a defined existing-customer cohort. A strong figure can be offset later by weaker renewals, customer losses or slower additions to the overall customer base. Investors should not treat one year-end net-retention reading as a permanent characteristic.
Comparisons can create false precision
Comparing Datadog’s revenue growth with Cisco’s consolidated growth can exaggerate the apparent gap because Cisco includes many businesses. Comparing Datadog’s revenue with Dynatrace’s ARR can also produce a misleading ranking because the measures recognize economics differently. Always write down the company, period, metric and currency basis before drawing a conclusion.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.A practical framework for judging whether adoption is sustainable
Investors can monitor the thesis with a repeatable checklist rather than relying on a single headline percentage.
1. Check the direction of net retention
Ask whether dollar-based net retention is stable, rising or falling, and whether management attributes the movement to usage, wider deployment, new products or another factor. The current reference point is approximately 120% on a trailing-twelve-month basis at December 31, 2025.
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2. Track adoption thresholds over time
Look for continued increases in the shares using four, six, eight and ten or more products. A healthy pattern would show broader movement across the thresholds, not merely a higher count of a small number of very large accounts. Because the published thresholds are cumulative, compare each threshold with its own prior-period value.
3. Separate customer expansion from new-customer growth
Net retention describes an existing cohort, while total revenue also reflects new customers. A company can post high net retention with weak new-logo growth, or add many customers while existing accounts contract. Both components matter to the total revenue outcome.
4. Compare guidance with reported results
Datadog’s $4.45 billion–$4.47 billion full-year 2026 range was issued on August 6, 2026. As subsequent quarters are reported, compare actual revenue and updated guidance with that range. Do not describe guidance as achieved until the relevant period has been reported.
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Usage growth is positive when it reflects expanding workloads, but concentration in a small number of large accounts can make aggregate results more volatile. Renewal performance shows whether deployments remain durable. Reading all three indicators together is more informative than focusing on product count alone.
6. Evaluate product launches by commercial adoption
Announcements such as the more than 100 capabilities highlighted at DASH 2026 demonstrate development activity. The subsequent questions are practical: Are customers deploying those capabilities? Are they paying for them? Do they improve retention or increase usage? Public disclosures may not provide a product-by-product answer, so avoid assigning a revenue contribution that the company has not quantified.
How to interpret the three companies as an investor
Datadog offers the clearest high-growth and platform-expansion profile in the figures provided: 36% Q2 revenue growth, rising multi-product penetration and approximately 120% net retention. That profile also carries sensitivity to usage, execution and competitive dynamics.
Dynatrace provides a closer software-platform benchmark for the same quarter-end date, with 16% reported revenue growth, 15% constant-currency growth and 17% ARR growth. Its figures support a comparison of momentum, but not a conclusion that one company’s product strategy is superior on the basis of one period.
Cisco is best used as a diversified technology reference point. Its 12% total-revenue growth and 4% full-year observability-category growth show how a mature, broad portfolio can produce different growth patterns from a focused observability vendor. The category figure can inform market context, but Cisco’s consolidated results should not be treated as a direct peer multiple or growth benchmark for Datadog.
For a personal-finance investor, the key decision is whether the potential reward of Datadog’s faster expansion justifies the uncertainty around usage, renewals and future competitive intensity. The disclosed numbers support continued monitoring of the thesis; they do not eliminate the need to assess valuation, position size and the possibility of slower growth.
Verdict: adoption supports the thesis, but does not secure it
Datadog’s multi-product statistics are substantial: approximately 55% of customers used at least four products, 33% used six or more, 18% used eight or more and 9% used ten or more at December 31, 2025. Combined with approximately 120% dollar-based net retention and 36% Q2 2026 revenue growth, they show a platform that is expanding inside existing accounts.
That evidence can support a high-growth thesis, but it cannot prove that product breadth alone caused the growth or that the rate will persist. The durability test is whether customers continue increasing usage, adopting additional use cases, renewing and supporting the company’s guidance while Datadog keeps innovating. Dynatrace and Cisco provide context, not a simple winner-take-all comparison, because their metrics, fiscal periods and business mixes differ.
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