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Datadog- The pitbull of data analysis or just 3rd class after all

Company presentation

Datadog and Dynatrace are two of the leading companies in the field of cloud monitoring and observability solutions.

$DDOG (-2,68 %) Datadog, founded in 2010 and based in New York City, offers a SaaS-based data analytics platform that monitors a wide range of IT infrastructure components - from servers and databases to tools and services - across a cloud environment.

$DT is also an American company that specializes in software intelligence platforms. It provides comprehensive solutions for monitoring application performance, infrastructure and user experience.

Historical development

Datadog has experienced impressive growth since its foundation:

- 2015: Completion of a Series C financing round that supported expansion into new markets and further development of the product range.

- Continuous expansion of the platform, especially log management and application performance monitoring

- 2020: Acquisition of Undefined Labs to strengthen testing and observability capabilities.

Dynatrace has also undergone a remarkable development, although concrete milestones are not specified in the available information.

Business model and core competencies

Datadog:

- Offers a cloud-based platform for comprehensive monitoring.

- Core competencies: Infrastructure monitoring, application performance monitoring, log management, user experience monitoring and security monitoring.

- Focuses on continuous innovation and customization.

Dynatrace:

- Provides a comprehensive end-to-end observability solution.

- Core competencies: Unified platform for observability, security and business data.

- Focuses on automated provisioning and AI-supported analyses.

Future prospects and strategic initiatives

Both companies focus on continuous innovation and the expansion of their product portfolios in order to meet rapidly changing technologies and customer requirements.

Datadog has accelerated the development of new products and doubled the number of its paid solutions within the last year.

Dynatrace is focused on further developing its AI-powered analytics tools and optimizing the automated deployment of its solutions.

Market position and competition

In a dynamic and highly competitive market in which companies such as $SPLK (in the $CSCO (+0,48 %) acquisition), New Relic, Elastic and Hyperscaler are also active, both companies are competing for the leading position.

Datadog is recognized as the market leader for its integrated full-stack monitoring solutions.

Dynatrace is positioned as a leader in end-to-end observability with a particular focus on AI-powered solutions.

Market potential (Total Addressable Market, TAM)

Although exact TAM figures are not provided, it is clear that both companies are operating in a rapidly growing market for cloud monitoring and observability solutions, which is being driven by the increasing digital transformation in various industries.

Share performance

Datadog:

- 1-year performance: 5.7%

- TR since the IPO on 19.09.2019:186.83%

- Currently 19.90% below the 52-week high and 45.61% above the 52-week low.

- 84% of analysts recommend the share as a buy (60% "Strong Buy", 24% "Buy").

Dynatrace:

- 1-year performance: 5, %

- TR since the IPO on 01.08.2019 : 113.42%

- Currently 16.99% below the 52-week high and 28.76% above the 52-week low.

- 77 % of analysts recommend the share as a buy (57 % "Strong Buy", 20 % "Buy").

Despite short-term fluctuations, both companies are performing positively overall.

Development

Both companies are recording continuous sales growth, with Datadog showing significantly stronger growth momentum than Dynatrace. As a result, Datadog's turnover is currently around one billion US dollars higher than that of Dynatrace. Nevertheless, the growth rates of both companies are still impressive and are expected to remain at a high level in the coming years.

Looking at the distribution of sales by country, it is clear that Datadog concentrates its sales heavily on North America, while Dynatrace is much better diversified internationally.

Despite this difference in geographic focus, Datadog's focus on North America could be seen as a strategic advantage, as the data business in the US is generally more valuable than in many international markets. The strong foothold in North America provides Datadog with a solid foundation to capitalize on the high demand and lucrative business opportunities in the region.

Internationalization should not be difficult for Datadog due to its existing successful model. With its proven product range and high level of innovation, the company is well positioned to gain a foothold on a global level and grow in other markets.

As with sales, Datadog's gross profit is also higher than that of Dynatrace. The gross margins of both companies are almost the same, although Dynatrace had a higher margin at the beginning.

The Annual Recurring Revenue (ARR) of Datadog is currently twice as high as that of Dynatrace, which underlines Datadog's strong growth momentum and market position.

A higher ARR means that Datadog is able to grow recurring revenue faster and effectively leverage long-term customer relationships. This growth may have been driven by successful expansion into new markets and the introduction of additional products and services. A high ARR is also a sign of strong demand and high customer satisfaction, which could be due to the broad offering and versatility of the Datadog platform.

Dynatrace, although also with solid growth rates and a stable ARR, remains smaller compared to Datadog. Nevertheless, it shows that both companies have strongly focused their business models on recurring revenues, which is an important indicator of sustainable growth and financial stability in a competitive market.

Despite the smaller revenues, it shows that Dynatrace has a better EPS than Datadog.

FCF is positive for both

Part 2: https://getqu.in/wuxnDJ/

Datadog- The pitbull of data analysis or just 3rd class after all

Part 1:https://getqu.in/YpHawB/

The stock-based compensation (stock-based compensation) has grown faster at $DT has grown faster than at Datadog, but the absolute volume of stock-based compensation at Datadog is currently twice as high. This shows that $DDOG (-2,68 %) Dynatrace is relying more heavily on granting share options to employees in order to attract and retain talent - a strategy that is particularly widespread in the technology sector.

At Dynatrace, share-based remuneration is also increasing, but the company has already started to buy back shares from time to time

The net debt / EBITDA is negative for both, but even better for datadog

According to the EV/EBITDA multiple (Enterprise Value to EBITDA), Dynatrace is currently more attractively valued than Datadog, but in this case the attractiveness of Dynatrace according to EV/EBITDA is less meaningful in the current comparison. This is due to the fact that both companies are in different growth phases and with different strategic priorities. Datadog is investing aggressively in growth and expansion, which leads to a higher EV/EBITDA multiple, while Dynatrace is pursuing a more profitability-oriented approach and thus appears more attractive in this ratio.

In terms of capital efficiency, Dynatrace has performed much better in the recent past. The company has apparently been able to utilize its resources more effectively and achieve a better return on capital employed. However, capital efficiency has not yet been the main focus for either company.

If both companies were to focus more on optimizing their capital efficiency, it is likely that Datadog would end up outperforming due to its faster growth momentum and market strategy to date. Datadog has shown that it is willing to invest in its future development to further extend its market leadership. If the company combines this growth strategy with a stronger focus on capital efficiency, it could further consolidate its position.

Therefore, one should not yet attach too much importance to current capital efficiency.

Conclusion

Looking at the remaining providers in the observability and cloud monitoring market, it is clear that apart from the large hyperscalers such as $AMZN (-0,02 %) , $MSFT (+0,15 %) and $GOOGL (-0,6 %) which nevertheless need to be mentioned here, only a few specialized companies remain. $SPLK would be very interesting in this context, but is currently in the process of being acquired by Cisco, which is why it is not included in this comparison.

Of the remaining providers, Dynatrace and Datadog stand out in particular. Although the two companies do not offer exactly the same solutions, they have significant overlaps in their service offerings.

Both companies entered the market almost simultaneously and went public at around the same time. Nevertheless, Datadog has developed much more dynamically than Dynatrace since then. The founders of Datadog are still heavily involved in the company and still hold significant shares, which is a sign of long-term confidence in the company and its growth strategy.

Another decisive argument is Datadog's strong focus on research and development. Datadog invests almost half of its turnover in R&D (Research & Development) in order to continuously improve its products, create more added value for customers and secure and expand its market position. This consistent approach to innovation has already borne fruit and is reflected in the company's impressive growth rate.

Although both companies are on a par in many metrics, I see Datadog as the "Dawg in the house". Another advantage of Datadog is its independence and flexibility, which allows it to focus specifically on its core business - unlike the large hyperscalers, which are less agile due to their extensive and often complex structures.

In addition, many customers value Datadog's independence from the large cloud providers. In a market where hyperscalers already dominate the infrastructure, Datadog's focus on monitoring in the cloud is a convincing differentiation. Customers prefer independent providers that are not dependent on their own strategy and have the expertise to focus on a specific area.

All in all, these factors suggest that Datadog is in a strong position to continue to grow and consolidate its place as market leader, despite the challenges posed by hyperscalers.

Has anyone heard of $DT and can give me info?