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Home Artificial Intelligence

Datadog Named a Leader in the 2026 Gartner® Magic Quadrant™ For Observability Platforms For Sixth Consecutive Year

July 15, 2026
in Artificial Intelligence, GlobeNewswire, Web3
Reading Time: 12 mins read
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NEW YORK, July 15, 2026 (GLOBE NEWSWIRE) — Datadog, I c. (NASDAQ: DDOG), the leadi g AI-powe ed obse vability a d secu ity platfo m, today a ou ced it has bee amed a Leade i the Ga t e Magic Quad a t fo Obse vability Platfo ms, 2026. This is the sixth co secutive yea Ga t e has positio ed Datadog as a Leade i the Magic Quad a t.

Datadog was positio ed highest i Ability to Execute i the 2026 Ga t e ® Magic Quad a t™ fo Obse vability Platfo ms.

“We believe bei g ecog ized as a Leade fo the sixth co secutive yea eflects the depth of i vestme t Datadog has made i helpi g teams avigate the complexity of buildi g AI- a d LLM-powe ed applicatio s,” said Ya bi g Li, Chief P oduct Office at Datadog. “Datadog i vests mo e tha $1 billio i R&D ( o -GAAP) a ually — f om co t ibutio s to Ope Telemet y a d Ope Li eage to the capabilities we ship eve y day — because ou custome s eed a swe s, ot mo e complexity.”

“Datadog gives ou teams eal-time visibility i to how custome s expe ie ce ou p oducts, allowi g us to ide tify a d esolve issues befo e they impact e d use s,” said Da iel Pe scho ok, VP of Cloud, Data, & Secu ity Se vices at Expe ia Co sume Se vices. “Whe we lau ched ou AI chatbot, EVA, LLM Obse vability p ovided immediate i sight i to model pe fo ma ce a d custome i te actio s, helpi g us delive a stable, high-quality AI expe ie ce f om day o e.”

Custome feedback is vital to Datadog’s p oduct i ovatio . Below a e some ece t eviews of Datadog, a 2025 Ga t e Pee I sights™ Custome s’ Choice fo Obse vability Platfo ms, f om the compa y’s p ofile o Ga t e Pee I sights™:

“As a APM use , I have fou d Bits AI to be a sig ifica t imp oveme t fo t oubleshooti g a d debuggi g,” said a IT associate at a IT se vices compa y. “I the past, effective debuggi g ofte equi ed deep k owledge of the applicatio a d exte sive expe ie ce i vestigati g issues. Bits AI has made the p ocess much easie by helpi g ide tify pote tial oot causes a d guidi g the i vestigatio mo e efficie tly.”

“Datadog has bee a game cha ge fo us as we moved f om a dive sified set of p oducts to a si gle u ified platfo m fo all of ou obse vability eeds,” said a softwa e develope at a healthca e a d biotech compa y. “We a e bette , faste a d mo e alig ed as a tech ology o g th oughout the e ti e developme t lifecycle a d beyo d.”

“Datadog has bee a fa tastic pa t e ,” said a di ecto of IT at a t avel a d hospitality compa y. “The p oduct has become mo e useful eve y yea a d with the age of AI, we a e seei g mo e useful featu es bei g i t oduced almost mo thly. We also app eciate that the accou t team is ve y e gaged with the e te p ise a d the p oduct e gi ee i g team tu s a ou d feedback quickly.”

Datadog’s u ified obse vability a d secu ity platfo m b eaks dow o ga izatio al silos a d e ables IT ope atio s, developme t, secu ity, a d busi ess teams to collabo ate mo e effectively a d take actio based o a si gle sou ce of t uth.

  • Bits I vestigatio auto omously i vestigates ale ts, su faces oot cause, a d ecomme ds a d takes actio ac oss systems, accele ati g i cide t espo se a d educi g outages.
  • Age t Obse vability p ovides visibility i to the pe fo ma ce, quality, secu ity, a d cost of AI age ts a d LLM apps, e abli g safe a d scalable adoptio of AI- ative wo kloads.
  • E d-to-e d APM educes mea time to esolutio by co ecti g mobile a d b owse apps with backe d se vices, p ovidi g deep visibility i to eve y use actio , li e of code, a d database que y.
  • Digital Expe ie ce Mo ito i g gives o ga izatio s complete visibility i to how custome s expe ie ce thei mobile a d web digital p oducts a d u iquely ties those expe ie ces to backe d systems a d busi ess outcomes.

The full epo t is ow available fo dow load he e: https://www.datadoghq.com/ esou ces/ga t e -magic-quad a t-obse vability-platfo ms-2026/.

Ga t e disclaime Ga t e , Magic Quad a t fo Obse vability Platfo ms, Pad aig By e, Ma ti Ca e , D.B. Cummi gs, Neil You g, 13 July 2026 

Ga t e does ot e do se a y compa y, ve do , p oduct o se vice depicted i its publicatio s, a d does ot advise tech ology use s to select o ly those ve do s with the highest ati gs o othe desig atio . Ga t e publicatio s co sist of the opi io s of Ga t e ’s busi ess a d tech ology i sights o ga izatio a d should ot be co st ued as stateme ts of fact. Ga t e disclaims all wa a ties, exp essed o implied, with espect to this publicatio , i cludi g a y wa a ties of me cha tability o fit ess fo a pa ticula pu pose.

This g aphic was published by Ga t e , I c. as pa t of a la ge esea ch docume t a d should be evaluated i the co text of the e ti e docume t. The Ga t e docume t is available upo equest f om Datadog.

GARTNER is a t adema k of Ga t e , I c. a d/o its affiliates. Magic Quad a t is a egiste ed t adema k of Ga t e , I c. a d/o its affiliates a d is used he ei with pe missio . All ights ese ved.

Ga t e Pee I sights co te t co sists of the opi io s of i dividual e d use s based o thei ow expe ie ces with the ve do s listed o the platfo m, should ot be co st ued as stateme ts of fact, o do they ep ese t the views of Ga t e o its affiliates.

About Datadog

Datadog is the leadi g obse vability a d secu ity platfo m fo the AI e a, p ovidi g busi esses with u ified visibility ac oss the tech ology stack to ma age complexity at scale. It b i gs applicatio s, i f ast uctu e, data, models, a d secu ity i to o e place, usi g AI to detect a d esolve issues befo e they impact custome s. T usted globally by Fo tu e 500 compa ies a d high-g owth AI leade s, Datadog e ables busi esses to move faste with cla ity a d co fide ce.

Fo wa d-Looki g Stateme ts

This p ess elease may i clude ce tai “fo wa d-looki g stateme ts” withi the mea i g of Sectio 27A of the Secu ities Act of 1933, as ame ded, o the Secu ities Act, a d Sectio 21E of the Secu ities Excha ge Act of 1934, as ame ded i cludi g stateme ts o the be efits of ew p oducts a d featu es. These fo wa d-looki g stateme ts eflect ou cu e t views about ou pla s, i te tio s, expectatio s, st ategies a d p ospects, which a e based o the i fo matio cu e tly available to us a d o assumptio s we have made. Actual esults may diffe mate ially f om those desc ibed i the fo wa d-looki g stateme ts a d a e subject to a va iety of assumptio s, u ce tai ties, isks a d facto s that a e beyo d ou co t ol, i cludi g those isks detailed u de the captio “Risk Facto s” a d elsewhe e i ou Secu ities a d Excha ge Commissio fili gs a d epo ts, i cludi g the Qua te ly Repo t o Fo m 10-Q filed with the Secu ities a d Excha ge Commissio o Feb ua y 18, 2026, as well as futu e fili gs a d epo ts by us. Except as equi ed by law, we u de take o duty o obligatio to update a y fo wa d-looki g stateme ts co tai ed i this elease as a esult of ew i fo matio , futu e eve ts, cha ges i expectatio s o othe wise.

Co tact:p ess@datadoghq.com

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