Sanjit Singh

Olivier confirmed a usage reduction at the largest customer and that guidance was fully derisked for the rest of the year, but declined to share contract specifics, saying there is not a lot more they can share.

Olivier described broad enterprise AI adoption manifesting as more transformation and cloud workloads plus rapid growth in usage of Datadog's AI-first surfaces measuring agents, LLMs, and MCP endpoints.

Olivier directly addressed that usage-based pricing model works regardless of whether humans or agents generate the usage. Noted both agent usage and human web interface usage are growing simultaneously.

David directly stated no macro impact seen in consumer or e-commerce businesses, with continuation of trends across industries. Acknowledged they watch analytics but have not seen effects yet.

Pomel described a three-pronged approach: UIs for humans, MCP server for agents (seeing explosive growth), and Datadog's own agents (Bits AI). All three will coexist as functionality delivery modes.

Pomel argued AI shifts value from code writing to production validation, exactly what observability does. More code, more complexity, and nondeterministic applications all increase observability demand.

Pomel attributed non-AI growth to three factors: positive demand environment, go-to-market investments paying off with strong Q4 pipeline, and new products like Flex Logs and product analytics clicking with enterprise customers.

Pomel argued customers won't manage observability across 60-150 separate integrations and that AI observability cannot be separated from non-AI, all belongs in a central unified platform.

Obstler confirmed AI native cohort continues growing rapidly with good market share, but conservative assumptions are embedded in guidance drawing lessons from prior cloud native cycle.

Pomel noted strong proof points with broad customer adoption and $1M+ security customers, but enterprise-wide top-down security selling is the next go-to-market focus.

Pomel explained data observability is becoming a key enabler for AI workloads, with Metaplane acquisition completing the suite.

Pomel described cloud migration trends as consistent and steady, with customers laying groundwork for AI adoption.

Pomel detailed specific product-led GTM motions for Flex Logs and OnCall, and noted sales capacity growth was accelerating through second half.

Pomel cited new cost-efficient technology, cloud-first modernization, and opportunity to unify operational and security use cases.

Asked about the federal pipeline ahead of the September fiscal year-end and which use cases are resonating; management cited a strong federal pipeline and demand for RCM and financial-crimes solutions.

Abhishek Murli on for Sanjit Singh. Direct: Ashim defended revenue quality, framed 15% on a trailing-12-month basis vs 12% ARR, and attributed the beat to 606 deal-mix timing.

Direct: consumption and per-seat are both small; subscription and server-based execution pricing dominate the larger complex use cases.

Management declined to split IDP vs agentic given fungibility in pricing but said agentic is a significant, growing portion.

Dines said UiPath is both strategic and opportunistic, prioritizing healthcare revenue-cycle, procure-to-pay, order-to-cash, and claims while learning deployment blueprints.

Gupta pointed to the narrowing year-over-year gap, FX help, federal stabilization, and empowered field execution as reasons for confidence in the guide.

Ryan Krieger on for Sanjit Singh. Daniel attributed retention/expansion pressure to macro and federal dynamics while noting larger customers continued to grow.

Dines said agents and Agentic Orchestration will be monetized on a consumption basis, with a detailed strategy to be announced ahead of GA in late April/early May.

Gupta expressed confidence in the long-term federal relationship, framing the pressure as short-term, but declined to quantify underlying growth ex-federal.

Ashim framed net-new ARR stabilization as a positive execution signal but did not quantify the dollar target.

CJ said EA is now a durable second growth driver alongside Atlas, with fast (weeks, not months) time-to-value on the new AI features and no cannibalization.

CJ ranked MongoDB's flexible JSON no-schema architecture first, then real-time intelligence on operational data with embeddings, as the value-capture layers.

Mike clarified the second-half caution is a general consumption-model visibility comment, not a concern about signed workloads, which continue to perform as expected.

CJ said AI's growth contribution is 'not if but when', large enterprises aren't running scaled customer-facing agentic workloads yet, so he won't predict the timing.

CJ answered directly, framing three buckets (core modernization, enterprise AI agents, AI-native companies) and noting embeddings/reranking as the low-hanging entry point.

Dev credited higher-quality upmarket workloads growing faster and bigger, plus search/vector adoption and strong new-customer adds; answered directly.

Mike (eight days in) gave a partial answer, endorsed the existing metrics and flagged future focus on capital structure, cash flow, and margins.

Dev answered directly, citing MongoDB's breadth across transactional, IoT/streaming, and AI use cases on one platform as the growth driver.

Michael attributed the consumption trend to underlying application usage, clarifying it beat expectations but remains down year-over-year.

Mgmt cited $4.6B cash, laddered convert debt, an investment-grade rating and ample debt capacity; converts most attractive so far, no equity offerings, buyback paused to fund growth.

McGowan expects a Q4 CIS hockey stick as sold GPUs are racked and big contracts begin generating revenue; on track and continuing to ramp into Q1 2027.

Tom couldn't discuss the specific deal but said Akamai has signed contracts across the spectrum for inference cloud and cloud capabilities for both GPUs and CPUs. On delivery, the biggest AI-driven growth will be in compute and then security. Agent-generated traffic replacing human traffic won't cause a huge swing unless agents deal with video. Delivery remains important, synergistic with the platform, and generates cash being reinvested into cloud growth.

Ed explained memory chip inflation skews the CapEx-to-revenue ratio, so $1-for-$1 doesn't hold exactly but is close. Larger deals with longer commitments get volume discounts. The upcoming GPU rental service at $250M list price would yield slightly better returns. Modeling slightly lower for 2026 given higher CapEx costs.

Tom said pipeline is very strong with the initial 20 GPU locations already sold out from beta customers alone. Broad areas of interest including transcoding, real-time translation, generative media, vision processing, customer support bots, gaming, commerce virtual fitting rooms, robotics, autonomous vehicles, and local LLMs. New verticals potentially becoming large compute customers.

Tom confirmed AI inference applications need API security and AI firewall protection. Greater vulnerabilities than normal applications. Hundreds of prospects and lots of proofs of concept for AI firewall with first customers adopting.

Tom said OCA was flat quarter-over-quarter and not where they are investing. May separate CIS and OCA reporting going forward. CIS is where all excitement and future growth potential lies, including Edge Workers, managed container service and Inference Cloud.

Ed said exact Edgio contribution is hard to track due to customer overlap but tracking as hoped, possibly on the higher end of the $85-105M range. Starting to see upsell of acquired logos. Overall delivery trends better with improved pricing and traffic growth.

Sridhar answered directly: acceleration is broad-based, not concentrated in AI-native names, and CoCo's cost-management tools make optimization easier.

Sridhar framed the inflection as three compounding forces: AI accelerating core-platform value, agentic products (Snowflake Intelligence, CoCo) coming into their own after CoCo's February GA, and CoCo in turn driving more core consumption; Brian added CoCo was the largest driver of the raised forecast.

Brian said the guide reflects high stable core growth, growing AI workloads and ~1pp from Observe.

Brian said the full-year raise, not the quarterly beat, is the most meaningful signal in a consumption model.

Sridhar said modernization is the beginning of the journey and AI transformation makes it more important.

Sridhar declined intra-quarter detail but said Q1 consumption was very strong; Mike pointed to the Q2 guide.

Mike explained the renewal mechanics and said he fully expects these customers to sign new commitments within months.

Stephen owned the North America and Europe shortfall as sales execution and said he will apply the federal flattening playbook. Direct. (Oscar Saavedra on for Sanjit Singh; attribution inferred.)

Hitesh said 90% of revenue was subscription with no nonrecurring subscription revenue in the quarter. Direct. (Oscar Saavedra on for Sanjit Singh; attribution inferred.)