Datadog has been named a Chief in Gartner’s 2026 Magic Quadrant for Observability Platforms, marking the sixth consecutive yr it has obtained that designation.
Based on Datadog, it ranked highest for Means to Execute among the many distributors assessed within the report.
Observability software program helps know-how groups monitor functions, infrastructure and digital providers. The market is drawing elevated consideration as firms deploy extra synthetic intelligence instruments and enormous language mannequin functions. Distributors are more and more pitching merchandise that assist prospects observe system efficiency, examine failures and monitor the behaviour of AI programs.
Datadog stated the newest recognition mirrored its spending on merchandise designed to assist prospects handle the complexity of AI- and LLM-based software program. It invests greater than USD $1 billion a yr in analysis and growth on a non-GAAP foundation, in response to the corporate.
That work consists of assist for open-source initiatives similar to OpenTelemetry and OpenLineage, in addition to instruments for incident investigation, software efficiency monitoring and oversight of AI brokers.
Yanbing Li, Chief Product Officer at Datadog, linked the rating to that broader funding technique.
“We consider being recognised as a Chief for the sixth consecutive yr displays the depth of funding Datadog has made in serving to groups navigate the complexity of constructing AI- and LLM-powered functions,” stated Li. “Datadog invests greater than $1 billion in R&D (non-GAAP) yearly – from contributions to OpenTelemetry and OpenLineage to the capabilities we ship each day – as a result of our prospects want solutions, no more complexity.”
Buyer use
Datadog additionally pointed to buyer examples to point out how its merchandise are being utilized in manufacturing environments. Experian Shopper Companies stated it makes use of Datadog’s software program to observe customer-facing merchandise and assess the efficiency of its AI chatbot, EVA.
“Datadog provides our groups real-time visibility into how prospects expertise our merchandise, permitting us to determine and resolve points earlier than they influence finish customers,” stated Daniel Perschonok, VP of Cloud, Information, & Safety Companies at Experian Shopper Companies. “Once we launched our AI chatbot, EVA, LLM Observability supplied speedy perception into mannequin efficiency and buyer interactions, serving to us ship a steady, high-quality AI expertise from day one.”
Datadog additionally cited consumer critiques posted on Gartner Peer Insights. One Software program Developer at a healthcare and biotech firm described the product as a approach to consolidate monitoring instruments.
“Datadog has been a sport changer for us as we moved from a diversified set of merchandise to a single unified platform for all of our observability wants. We’re higher, quicker and extra aligned as a know-how org all through your entire growth lifecycle and past.”
Different critiques highlighted AI-related options and the tempo of product updates. An IT Affiliate at an IT providers firm stated Datadog’s Bits AI instrument had improved troubleshooting and debugging, whereas a Director of IT at a journey and hospitality firm stated new AI-related options had made the product extra helpful over time.
Product focus
Among the many merchandise Datadog highlighted had been Bits Investigation, which examines alerts and seeks to determine root causes, and Agent Observability, which displays the efficiency, high quality, safety and price of AI brokers and LLM functions. It additionally pointed to its software efficiency monitoring instruments and digital expertise monitoring merchandise, which join front-end consumer exercise with back-end programs.
Datadog’s broader pitch is {that a} single platform can deliver collectively growth, IT operations, safety and enterprise groups round a shared set of system knowledge. That strategy displays a wider pattern in enterprise software program, the place suppliers try to cut back the variety of separate monitoring and safety instruments prospects must handle.
The observability market has grow to be extra crowded as established infrastructure software program teams compete with cloud-native distributors and newer AI-focused entrants. Rankings similar to Gartner’s Magic Quadrant stay carefully watched by massive company patrons, regardless that suppliers typically use them as a advertising instrument and the methodology is typically debated inside the business.
For Datadog, a sixth straight Chief rating supplies one other reference level because it competes for purchasers looking for to observe more and more complicated software program estates spanning cloud infrastructure, functions, knowledge programs and AI fashions.
“The product has grow to be extra helpful yearly and with the age of AI, we’re seeing extra helpful options being launched virtually month-to-month. We additionally admire that the account workforce may be very engaged with the enterprise and the product engineering workforce turns round suggestions shortly.”