Datadog Investor Day – First Impressions

Datadog held its Investor Day in conjunction with the annual DASH conference. Here are our first impressions about the Product announcements.

Datadog continues to innovate at a rapid pace. Each new product offering or new is designed to save time, prevent downtime and solve problems. Datadog is tapping into new budgets and expanding their TAM (Target Addressable Market). For example, cloud application security, workflow management and cloud cost management.

There are whole companies dedicated to these areas, some of them public, such as Lacework, Asana,, or Harness. This is in addition to log management and security offerings that take market share from Splunk and others. Datadog’s ability to take marketshare from customers and send them to the trash heap is remarkable. Examples are:

  • AppDynamics: Purchased by Cisco Systems, and rarely heard of in competitive deals
  • Splunk: Recently identified as a takeover target. Starboard Value LP acquired a 5% stake in the company, announced on Monday.

Datadog’s continued focus on engineer efficiency, time-savings, and preventing application downtime delivers a solid ROI (Return on Investment) and ensures that the budget for Datadog is prioritized over spending in other areas. Datadog’s rapid product deliver roadmap and integrated platform enables the company to attract spend that might go to other vendors.

Datadog continues to add value to its customers by presenting data with context. The Datadog platform For example, being able to show cloud costs alongside cloud utilization for developers and engineers to see, is a brilliant way to “guilt” people into saving money.

Datadog is well-positioned for continued growth as its contracts allow for customers to start small, with one or two products, and then grow organically. New products can be tried for little or no cost, and at the end of the trial period, customers can choose to continue to use the products at an agreed price. This is the key behind Datadog’s low friction approach.

According to Alexis Lê-Quôc, Datadog customers collect trillions of datapoints today, a staggering volume. With all of this data, Datadog has the opportunity to freeze out other vendors. For example, if Datadog’s security offering meets or exceeds the minimum standard, why use a separate vendor for security? Datadog has the opportunity to capture budget across Dev, Ops, Security

For example:

  • Open Telemetry Support: Makes it easier for teams that have adopted the Open Telemetry standard to adopt Datadog.
  • Service Catalog: Makes it easier and faster for teams to identify the team that owns each service, contact them or fix the problem in Datadog by rolling back code. All automatically updated.
Service Catalog Demo, Datadog Investor Day
Datadog Service Catalog
  • Powerpacks: Create a best practices Datadog dashboard in seconds.
Example of a Powerpack
Datadog Powerpacks
  • Data Steams monitoring: Identify services in the queue causing bottlenecks, and prevent downtime.
Data Stream Monitoring, Datadog Investor Day
Data Stream Monitoring
  • Cloud cost management: Unifies cost and observability data. Engineers are guilted into saving money by being presented with cost data alongside Utilization data.
  • Intelligent Test Runner: Reduces time that a developer needs to wait for testing to seconds from minutes, saving days in developer productivity.
  • Continuous Testing
  • Dynamic Instrumentation: Instrument code on the fly. Support for Java, Python and .Net.
  • Cloud application security: competes with vendors in this space such as Lacework. By creating features that put smaller vendors out of business, Datadog continues to create value for its shareholders and customers.
  • Application Security Management: Deepens Datadog’s footprint in cloud application security. Since legacy vendors offerings are irrelevant in the cloud, Datadog is taking advantage of greenfield opportunities to grow revenues and attract new customers.
  • AI/ML: Artificial Intelligence and Machine Learning to alert humans to unknown unknowns, troubleshoot issues faster and identify root causes.
  • Workflow automation: Helps customers to streamline monitoring and remediate issues faster. Datadog continues to help customers complete their tasks faster, and enables employees to increase productivity.

In a period of time when a potential recession looms, Datadog is well positioned to help its customer to do more with less. If layoffs increase and unemployment grows, Datadog will have more opportunities to help its customers. While a high technology platform like Datadog is not “recession proof”, Datadog is better positioned than most to grab spend from other IT budgets to maintain and grow usage of Datadog.

By consolidating spend to one vendor, instead of many, corporate purchasing officers can negotiate better terms with Datadog, which benefits the customer.

We will be updating our audience with additional insights tomorrow, after we have been able to digest more of the investor day presentations.

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