Data Platforms & Analytics

Snowflake raised its fiscal 2027 product revenue guidance to $6.07 billion, implying 36% year-over-year growth, up from its previous outlook of $5.84 billion and 31% growth. In the fiscal second quarter 2026, product revenues rose 37% to $1.49 billion and accounted for 96% of total revenues. Management said AI products contributed roughly half of the recent acceleration, with CoCo surpassing 9,100 accounts after adding more than 2,000 in the quarter and CoWork expanding to 5,800 accounts, up nearly 11% sequentially. The company ended the second quarter of fiscal 2027 with 14,554 total customers, up 32% year over year, including 828 customers generating more than $1 million in trailing 12-month product revenues, up 27%, and 65 customers above $10 million. Fiscal third-quarter product revenues are expected between $1.588 billion and $1.593 billion, indicating 37-38% growth, while the Zacks Consensus Estimate for fiscal 2027 earnings stands at $2.19 per share, up 11.16% over the past 30 days.

Snowflake Inc. is drawing heightened investor attention after Zacks Investment Research highlighted sharply rising earnings estimates for the data-warehousing company. For the current quarter, Snowflake is expected to post earnings of $0.60 per share, a change of +71.4% from the year-ago quarter, while the Zacks Consensus Estimate has moved +17.5% over the last 30 days. For the current fiscal year, the consensus earnings estimate of $2.19 points to a change of +75.2% from the prior year, and for the next fiscal year the consensus estimate of $2.84 indicates a change of +29.6%. On revenue, the consensus sales estimate for the current quarter of $1.64 billion indicates a year-over-year change of +35.5%, with current and next fiscal year estimates of $6.29 billion and $8 billion pointing to changes of +34.2% and +27.3%, respectively. In its last reported quarter, Snowflake posted revenues of $1.55 billion, a year-over-year change of +35.1%, and EPS of $0.62 versus $0.35 a year ago, beating the Zacks Consensus revenue estimate of $1.47 billion by +4.91% and the EPS estimate by +37.78%. Citing the size of the recent change in the consensus estimate along with three other earnings-related factors, Zacks rates Snowflake Zacks Rank #2 (Buy), though the stock carries a Zacks Value Style Score of F, indicating it trades at a premium to its peers.

Salesforce's fair value estimate has been lifted from US$241.72 to US$275.87, an uplift of about 14% in the latest analyst model, following the launch of the Koa CRM reasoning model with NVIDIA, the US$3.6b acquisition of AI customer service company Fin, and the AIforce rollout. The updated model raised the revenue growth assumption from 9.78% to 10.08%, kept the net profit margin assumption unchanged at 18.18%, moved the future P/E assumption from 20.21x to 22.23x, and shifted the discount rate from 9.39% to 9.11%. Salesforce also expanded its partnership with Anthropic through the launch of Claudeforce, which embeds Claude as the default AI model across Agentforce, Slack and Data 360, and reported what management described as one of its best fiscal Q2s, with revenue of US$11.35b, 11% year over year growth, and full year 2027 revenue guidance of US$46.1b to US$46.4b. AI products including Agentforce and Data Cloud AI reached almost US$3.9b in annual recurring revenue, with Agentforce annual recurring revenue growing over 240% year over year, while Salesforce recorded a US$2.6b investment gain related to Anthropic and shares rose between 18% and 22% around the results. Analysts remain split, with Canaccord, Guggenheim, Stifel, TD Cowen, Argus, Cantor Fitzgerald, BMO Capital, Mizuho, JPMorgan and Erste Group raising targets as high as US$300, while Morgan Stanley, KeyBanc, CLSA and Phillip Securities cited slower growth and mixed Agentforce feedback, and Wells Fargo and Citi stayed Equal Weight and Neutral.

Salesforce has moved its Claudeforce partnership with Anthropic into an open beta on all paid plans, pushing enterprise CRM data into Claude's native interface. The release centers on a plugin that bridges Salesforce's data stores and Claude's reasoning engine, arriving with 37 prebuilt sales skills covering everything from meeting preparation to pipeline reviews. The beta is currently accessible via the Salesforce AppExchange and the Claude Enterprise Marketplace. Under the mutual adoption model, Salesforce has named Claude its preferred AI model while Anthropic has designated Salesforce its preferred CRM, with the plugin running on the AIforce harness and integrating with Headless 360, Data 360, Tableau, and Slack, where Claude now serves as the default model for Slack AI, Slackbot, and Slack Code. Salesforce reports its employees have realized 8.1 million hours of annualized productivity gains using Slackbot, a figure that has doubled quarter-over-quarter. Deployment requires a one-time connection, after which every seller gains access immediately, with no per-user configuration or new permissions model.

Nokia disclosed an expanded partnership with Microsoft to launch an AI-powered telecom network automation platform integrating Nokia Data Suite with Microsoft Fabric, news reported by Barron's and the Wall Street Journal, sending shares up 3.8% intraday Thursday. The deal came a day after Jim Cramer told a caller on the September 16 Lightning Round of Mad Money that he would be a buyer of Nokia right here, right now. Nokia's Q2 2026 report showed revenue of $5.49 billion beating estimates by 13.79% and EPS of $0.0799 beating the $0.0682 consensus, while AI and Cloud customer revenue more than doubled year over year to $508.96 million with order intake of EUR 2.8 billion in the segment. Reported operating income was a loss of $57 million after $445.05 million in accelerated restructuring charges, free cash flow ran negative $835 million, and net income dropped 94.44% year over year. The ADR is up 132.81% over the past 12 months and 65.14% year to date, trading around $10.53 with a market capitalization near $58.95 billion, and management guided Q3 sequential net sales growth of 3% to 7%.

MongoDB executives said the company's self-managed Enterprise Advanced business is reaccelerating, with double-digit growth over each of the past three quarters, and now view it and the Atlas cloud platform as complementary "two growth engines." Chief Financial Officer Mike Berry said during a fireside chat that demand for deployment flexibility has risen over the past 12 to 18 months, driven by regulated industries, government customers, data requirements, cloud capacity constraints and economics, and that growth among large customers using both self-managed MongoDB and Atlas has exceeded the companywide average. Chief Product Officer Ben Cefalo said customers value the ability to build an application once and move it among cloud and on-premise environments, and that MongoDB recently made Search and Vector generally available for self-managed customers after developing those capabilities first in Atlas. Berry said the self-managed licensing model generally offers higher upfront profitability and may deliver higher gross margins over time, and that shared underlying technology limits incremental research and development needs. On AI, Cefalo cited investments in MCP Server capabilities, Voyage AI integration, auto-embedding and a LangChain partnership, while noting enterprise adoption of custom AI applications remains early as security, governance, privacy and regulatory concerns slow production deployments. For the current fiscal-year guidance discussed at the event, Berry said research and development spending is projected to rise about 30%, sales and marketing spending is expected to increase in the mid-teens and general and administrative spending by lower single digits.

Elastic rolled out Elasticsearch Vector Database on September 11, a serverless offering that lets developers ship large-scale vector search and AI applications without assembling infrastructure themselves. The launch came less than three weeks after Elastic reported first-quarter fiscal 2027 results on August 27 for the period ended July 31, when total revenue reached $478 million, up 15% year over year, current remaining performance obligations grew 21% and remaining performance obligations grew 27%. Sales-led subscription revenue rose 18% year over year to $399 million, and the company added more customers with annual contract value above $100,000 than in any prior quarter, pushing that cohort past 1,800 from over 1,720 in the fourth quarter of fiscal 2026 and over 1,550 a year earlier, while net expansion rate held around 111% and adjusted free cash flow reached $143 million. Guidance for the second quarter of fiscal 2027, ending October 31, calls for revenue of $486 million to $487 million and a swing to positive GAAP operating margin, with full fiscal 2027 non-GAAP operating margin guided to roughly 19.4%, up from 16.2%. The company still posted a GAAP operating loss of $24 million, a -5% operating margin, and a GAAP net loss per share of $0.16, against $77 million in non-GAAP operating income and $0.70 in non-GAAP diluted earnings per share, while repurchasing about 0.8 million shares for roughly $40 million under its $500 million buyback program and acquiring Deductive AI.

Morningstar's PitchBook private markets data was integrated into OpenAI's newly launched ChatGPT for Financial Services platform in September 2026, enhancing AI-assisted analytical tools for finance professionals. The collaboration underscores the growing importance of high-quality private market datasets as foundational inputs for advanced AI models serving institutional investors. The integration, alongside Morningstar's Game On campaign, could act as a near-term catalyst for data licensing and deeper platform adoption, supporting the case for current buybacks and dividends. Morningstar still faces key risks around its high debt load, relatively modest growth outlook and share price performance that has lagged broader markets. Seven Simply Wall St Community fair value estimates for Morningstar range from about US$161,000 to over US$329,000, reflecting sharply divergent views on the payoff from the company's expanding AI integrations.

Snowflake reported second-quarter fiscal 2027 results showing higher sales of US$1,546.79 million and a reduced net loss of US$191.72 million, while also completing a US$3,697.59 million share repurchase program that retired 25,378,000 shares. Management attributed the stronger performance to growing adoption of its AI offerings, including CoCo and CoWork, and raised full-year fiscal 2027 product revenue and operating margin guidance, signaling increased confidence in demand for AI-driven workloads. The company's narrative projects $11.7 billion revenue and $172.1 million earnings by 2029, requiring 29.1% yearly revenue growth and about a $1.3 billion earnings increase from -$1.1 billion today. The most optimistic analysts had already assumed revenue could reach about US$11.8 billion by 2029, so the acceleration in AI workloads could either support that upside case or expose how dependent the story is on aggressive assumptions. Sayari's decision to rebuild its Commercial World Model on Snowflake using CoCo was cited as a concrete example of how AI workloads can deepen usage on the platform.

Singdata announced the full-spectrum availability of its Singdata Lakehouse across 8 major global cloud platforms and 3 computing hardware architectures. The fully managed SaaS platform can now be deployed natively across Amazon Web Services, Google Cloud Platform, Microsoft Azure, Alibaba Cloud, Tencent Cloud, Volcano Engine, Huawei Cloud, and Baidu AI Cloud, with full compatibility for Intel, AMD, and ARM CPU architectures. Built on Singdata's proprietary Single-Engine architecture and Generic Incremental Compute technology, the platform standardizes query engines, SQL syntax, and governance models across all 8 cloud environments and the 3 processor types. Singdata said content discovery giant REDNOTE uses the Lakehouse to support massive-scale real-time data analytics, cutting data processing latencies and lowering total operational costs. Co-founder and CEO Ethan Yu said the company spent years building a managed version of the same engine so it behaves identically across eight clouds and three chip architectures, giving customers both managed simplicity and cloud-agnostic deployment instead of trading one for the other.

NVIDIA and Palantir both raised guidance after posting quarters that doubled revenue, with NVIDIA growing 105.8% year over year to $96.22 billion and Palantir's U.S. commercial segment surging 149% to $764 million. NVIDIA's Data Center revenue reached $89.023 billion, up 117%, while networking jumped 138%, and the company guided Q3 revenue to $108 billion, plus or minus 2%, saying supply sets the ceiling. Palantir's total revenue reached $1.94 billion, up 92.8%, with adjusted EPS of $0.41 beating the $0.28 estimate, total contract value closed of $3.37 billion, and net dollar retention of 157%. NVIDIA trades at a forward P/E of 24 on $302.97 billion in trailing revenue against 70% guided fiscal 2028 growth, while Palantir trades at a forward P/E of 75 and a price-to-sales ratio of 65. NVIDIA's 17.32% YTD move lags its fundamentals, and Palantir's negative 5.92% YTD reset will look like a gift if AIP pilot conversions hold pace, though its $265 million in Q2 stock-based compensation and long sales cycles keep the risk in view.

Snowflake raised its fiscal 2027 product revenue target to $6.07 billion from $5.84 billion after second-quarter product revenue rose 37% to $1.49 billion, with CEO Sridhar Ramaswamy saying AI products drove roughly half of that growth acceleration. UBS analyst Karl Keirstead said the figures, alongside rapid growth at Palantir and Databricks, offered compelling proof of robust enterprise AI adoption. The beat lifted enterprise software broadly, with ServiceNow, Atlassian, Adobe, Intuit and Salesforce all up 3.5% to 6% the next day and the iShares Expanded Tech-Software ETF up 3%. Salesforce's own move came a week earlier, when its second-quarter fiscal 2027 results showed revenue of $11.35 billion, up 11% year over year, current remaining performance obligations up 14% to $33.5 billion and adjusted EPS of $5.90 against a $3.27 consensus, though $2.61 billion in net gains on strategic investments added $2.53 per share to non-GAAP EPS. Salesforce also announced Claudeforce with Anthropic, a partnership that initially brings Salesforce data, workflows and business logic into Claude through a plugin with 37 prebuilt sales skills, with further integrations planned across Claude, Salesforce and Slack.

Palantir expanded its partnership with Nvidia at its AIPCon customer conference, pairing its enterprise data platform with Nvidia's customizable Nemotron open models for supply chains across manufacturing, agriculture, pharmaceuticals, retail and government, and Nvidia intends to deploy the combined technology inside its own operations. The pitch targets regulated buyers who must keep model weights and sensitive data inside their own infrastructure rather than routing them through a closed consumer service. Nvidia's Q3 FY2026 release said it teamed with Palantir to build a first-of-its-kind integrated technology stack for operational AI, and CEO Alex Karp told investors that models fine-tuned by Palantir in its enterprise on an Nvidia stack outperform frontier models, adding that customers own the weights, the alpha and everything. Palantir's Q2 U.S. commercial revenue grew 149% year-over-year to $764 million, the Rule of 40 reached 155%, and full-year 2026 revenue is guided to $8.150 to $8.158 billion. The stock trades at a P/E of roughly 235x against a market capitalization near $381.6 billion, down 6.69% year to date though up 531.13% over five years.

AMD executives said the company is expanding its role in artificial intelligence from a semiconductor supplier toward a provider of rack-scale systems and software, while positioning its server CPU portfolio for increased demand from agentic AI workloads. Speaking at the Goldman Sachs Communacopia + Technology Conference, Dan McNamara, AMD's senior vice president and general manager of Compute and Enterprise AI, said AMD has shifted from managing individual product roadmaps to coordinating a data-center roadmap spanning CPUs, GPUs and networking, with rack-scale solutions such as its Helios systems and MI455 products as the principal focus. Matt Ramsay, AMD's corporate vice president of financial strategy and investor relations, said the company has raised its estimate of the server CPU total addressable market from $60 billion to $120 billion and then to $220 billion through 2030, and expects its server business to address more than half of that market. The executives reiterated growth targets previously outlined by AMD, including more than 60% compound annual growth for the data-center business and more than 80% compound annual growth for its AI business over the company's strategic timeframe, alongside a total addressable market of roughly $2 trillion by 2030 and an expectation of more than doubling its data-center business by 2027. McNamara said agentic AI changes system architecture because control-plane operations, API calls, database queries and tool execution are CPU-based, and AMD is targeting three CPU deployment areas with its Venice portfolio: high-core-count processors including a 256-core device, high-frequency processors for head-node workloads, and general-purpose server processors for enterprise and cloud deployments.

PitchBook, a business unit of Morningstar, announced it is now a data partner for ChatGPT for Financial Services, OpenAI's tailored ChatGPT experience for investment banking and equity research teams. Through PitchBook's expanded Essential dataset, teams using ChatGPT for Financial Services can access firmographic data on companies, investors, and funds directly within ChatGPT, with no separate connector activation required. The dataset is indexed within ChatGPT for Financial Services, so teams can query company-, investor-, and fund-level data points inside the platform, and PitchBook data appears alongside citations so users can inspect supporting evidence as they build models, pitchbooks, and client materials. Tom Van Buskirk, EVP of Technology and Engineering at PitchBook, said it is significant that OpenAI chose PitchBook as a launch partner for the offering, while Nick Turley, VP Product at OpenAI, said the companies are bringing together GPT-6 Astra and PitchBook's data so financial professionals can find, analyze, and cite information in one place. The partnership builds on PitchBook's broader strategy of meeting investors where they work, and PitchBook now partners with AI platforms including Anthropic, Google, Microsoft, Perplexity, and Rogo.

MongoDB reported fiscal second-quarter revenue of $771.8 million, up 30% year over year, with Atlas revenue rising approximately 29% to $565.9 million and Enterprise Advanced and other revenue up approximately 36% to $181.2 million. Remaining performance obligations increased 91% to $1.52 billion, of which current RPO, the portion expected to be recognized within 12 months, rose 73% to $797.3 million. GAAP operating income reached $28.4 million, compared with a $65.3 million loss a year earlier, and free cash flow nearly doubled to $137.6 million from $69.9 million. MongoDB raised its fiscal 2027 revenue guidance to $2.99 billion to $3.03 billion from $2.92 billion to $2.96 billion, attributing the second-half increase mainly to Atlas, while guiding for a third-quarter GAAP operating loss of $14.5 million to $10.5 million and a full-year GAAP operating loss of $28 million to $8 million. Total customers grew to more than 70,600 from more than 59,900 a year earlier, and Atlas customers reached more than 69,300.

Artificial intelligence (AI) technology has begun to generate real applications and revenue at the enterprise level, creating a chain of positive impacts from software and cloud to semiconductors. Yuanta Securities noted that AI adoption is transforming software costs into cloud revenue, with companies like Snowflake, Salesforce, and ServiceNow benefiting from AI agents, while NVIDIA is expanding its moat by controlling the source through Hugging Face. However, SEMICON Taiwan 2026 highlighted bottlenecks, such as TSMC's demand for chip-making equipment nearly doubling in six months, and memory issues that forced Google to reuse DDR4. The Asian supply chain is fully benefiting, with South Korea's semiconductor exports surging 209% year-over-year. Earnings from Dell, Broadcom, Snowflake, Credo, and Palo Alto Networks reflect strong demand, such as Dell's record-high AI server orders at $60.9 billion and Broadcom's AI revenue growing 221%.

Snowflake Inc. reported fiscal second-quarter product revenue of $1.49 billion, up 37% year over year, and total revenue of $1.55 billion, up 35%, sending shares up 17%. Adjusted earnings of $0.62 per share beat the $0.45 consensus estimate, marking the third consecutive quarter of accelerating product-revenue growth. CEO Sridhar Ramaswamy attributed about half of the acceleration to AI, with the CoCo coding assistant now used by over 9,100 accounts. Net revenue retention stood at 126%, and remaining performance obligations reached $9 billion, while the number of clients spending over $1 million annually rose to 828. Management raised full-year product revenue guidance to $6.07 billion from $5.84 billion, implying about 36% growth. However, the stock trades at roughly 152 times consensus fiscal 2027 adjusted earnings, and even based on fiscal 2030 estimates of $5.86 per share, it is about 58 times earnings nearly four years out, leaving little room for disappointment.

Snowflake has raised its fiscal 2027 product revenue guidance to $6.07 billion, implying 36% year-over-year growth, up from its previous outlook of $5.84 billion and 31% growth, as the company benefits from strong enterprise adoption of AI and cloud analytics. In the fiscal second quarter, Snowflake's product revenues rose 37% year over year to $1.49 billion, and it ended the quarter with 14,554 customers, adding 692 net new customers, including 14 Global 2000 companies. The company's AI offerings are gaining traction, with CoCo surpassing 9,100 accounts and CoWork expanding to 5,800 accounts, up nearly 11% sequentially. Snowflake faces stiff competition from Dell Technologies and Oracle, which are also expanding in AI infrastructure and cloud services. Snowflake shares have gained 53.7% year to date, and the Zacks Consensus Estimate for fiscal 2027 earnings is $2.01 per share, up 60.80% year over year.

Beamr Imaging Ltd. has joined the VAST Cosmos Community as a Technology Partner, collaborating with VAST Data to deliver AI-powered video workflows for broadcasters and content owners. The partnership will debut at IBC 2026 in Amsterdam, September 11–14, with a demonstration combining the VAST AI Operating System, NVIDIA Video Super Resolution, and Beamr's content-adaptive bitrate technology. This workflow enables upscaling of lower-resolution content to 1080p or 4K, with Beamr's encoding reducing file sizes by up to 50% compared to standard encoding. The pipeline also supports modernizing assets to HEVC or AV1 codecs, runs on NVIDIA RTX PRO GPUs, and can be deployed in the cloud or on-premises. Beamr CEO Sharon Carmel and VAST Data's John Mao highlighted the economic benefits of enhancing existing media libraries at scale.

Snowflake has introduced CoCo, a coding assistant designed to help enterprises work with data and AI inside its platform, as part of a broader effort to move beyond core data warehousing into a more complete enterprise data and AI offering. The company highlighted clients such as Sayari that are rebuilding on Snowflake's AI Data Cloud to support AI-ready workloads, and management framed these moves as redefining enterprise software around data-driven AI user experiences. Snowflake also cited new partner milestones with Optimove, Varonis, and CrowdStrike as concrete examples of the AI Data Cloud being used for complex, data-heavy applications. The company's fiscal 2027 product revenue guidance stands at US$6,070 million, with third-quarter 2027 guidance of US$1,588 million to US$1,593 million, and investors are watching whether expanding AI use cases feed through to the top line. Snowflake has a market cap of $118.8 billion.

Hewlett Packard Enterprise, Broadcom, and Dell Technologies all reported strong quarterly results driven by robust AI infrastructure demand. HPE posted record revenue of $12.2 billion, up 34% year over year, with adjusted earnings of $1.11 per share, and raised its fiscal 2026 revenue growth outlook to 34%-37%. Broadcom's revenue surged 86% to $29.6 billion, with AI semiconductor revenue jumping 221% to $16.7 billion, and it forecast $21.7 billion in AI semiconductor revenue for the next quarter. Dell reported record revenue of $47.0 billion, up 58%, with AI-optimized server revenue doubling to $16.4 billion and a record $60.9 billion in AI server orders, boosting its fiscal 2027 revenue outlook to $192 billion. Despite the strong numbers, Broadcom shares fell on high expectations, while Dell shares surged, reflecting mixed market reactions.

According to a new report from MarketsandMarkets, the global Data Center Solutions Market is projected to grow from USD 535.45 billion in 2026 to USD 1,336.55 billion by 2031, registering a CAGR of 20.1% during the forecast period. The growth is driven by demand for resilient, high-density computing environments supported by intelligent power systems, advanced cooling, software-defined infrastructure, and automation platforms. Within this market, the software segment is expected to be the fastest-growing component, with a CAGR of 24.7%, as operators adopt DCIM, virtualization, and AIOps tools. North America is expected to hold the largest regional share, while Asia Pacific is the fastest-growing region. Key players include Dell Technologies, HPE, Broadcom, NVIDIA, Super Micro Computer, IBM, Lenovo, Schneider Electric, Cisco, Huawei, and DDC Solutions.

OATI announced the continued expansion of its webLineR™ solution for FERC Order 881 compliance, now used by Entergy, three NextEra Energy operating companies, and numerous Florida transmission providers to automate ambient adjusted ratings. The solution helps unlock transmission capacity by replacing conservative fixed assumptions with hourly weather-based ratings, a mandate that requires each transmission owner to calculate and submit 10-day hourly forecasts for every facility, update them hourly, and retain data for five years. In MISO alone, over 13,000 facilities require AARs, generating an estimated 22 million forecasted ratings per hour. Since the order was issued in 2021, 32 transmission entities have selected webLineR™, which integrates with existing systems and exchanges ratings with reliability coordinators and market operators. OATI's CEO noted that the solution not only ensures compliance but also enhances grid reliability and supports clean energy deployment.

Snowflake surged in after-hours trading following its earnings report, with shares climbing $72.26, or 23.63%, to $378.10. The company said usage of its AI-assisted coding tools is expanding rapidly, drawing market enthusiasm. This news was reported by Kabutan News (minkabu PRESS).