PresentationKasthuri RanganHead of Software Coverage Good morning, everybody. Day 2 of Communacopia and Technology Conference. Welcome to day 2, but it's just the beginning of day 2 and a couple more days and a real delight to kick off day 2 with one of my favorite companies and one of my favorite CEOs. I'm going to embarrass him a little bit. I know you look very young, but we met in 2006 when you were taking your first company public. And it's been an absolute delight to -- although I didn't work with you ...

Do two things to further your tech portfolio. First, click the 'Follow' button below next to my name. Second, if you want more of this two-fold analysis, step up to being a paid subscriber to my Investor Group Tech Cache with full month paid trial and read more of this type of analysis on other tech stocks and assets.Some of you might recall my AI software presentation I did in June of last year at Seeking Alpha's Investor Summit in New York City. If you haven't seen it or need a refresher,Joe leads the inv ...

Do two things to further your tech portfolio. First, click the 'Follow' button below next to my name. Second, if you want more of this two-fold analysis, step up to being a paid subscriber to my Investor Group Tech Cache with full month paid trial and read more of this type of analysis on other tech stocks and assets.Some of you might recall my AI software presentation I did in June of last year at Seeking Alpha's Investor Summit in New York City. If you haven't seen it or need a refresher,Joe leads the inv ...

Summary of MongoDB Conference Call Company Overview - **Company**: MongoDB (NasdaqGM: MDB) - **Event**: 2025 Conference held on September 09, 2025 Key Points Industry and Market Position - MongoDB operates in a large market estimated at **$100 billion**, with only **2% market share**. Increasing this share to **5%** could result in **$5 billion** in revenue [3][4][5] - The company is well-positioned for the upcoming AI wave, with a focus on enterprise adoption of AI technologies [4][5] Business Growth and Strategy - The recent quarter's growth was not driven by AI but by customers using MongoDB for daily business operations [3][4] - MongoDB's architecture is designed to support sophisticated AI applications, emphasizing the importance of the database layer in AI systems [4][5][6] - The company has transitioned to focus on quality over quantity in sales, targeting enterprise workloads to drive growth [25][26] AI and Technological Advancements - MongoDB is positioned to play a crucial role in managing state and memory for AI applications, highlighting the need for real-time operational data [8][9][10] - The database supports both traditional and advanced search techniques, including lexical and semantic search, which are essential for AI applications [10][30] - The company is developing tools to automate the migration process from relational databases to MongoDB, leveraging AI for code refactoring [54][55] Competitive Landscape - MongoDB differentiates itself from competitors like PostgreSQL by offering a flexible data model that can handle multimodal data and rapid schema changes [59][60] - The company acknowledges competition but emphasizes its unique capabilities in handling complex data structures and real-time processing [37][39][40] Financial Outlook - MongoDB's CFO, Mike Berry, indicated a shift towards driving both revenue growth and margin expansion, with a focus on sustainable growth strategies [20][68][69] - The company aims to balance investments in growth with improving profitability, particularly in its Atlas business, which is nearing **$2 billion** in revenue [20][21] Future Considerations - The company anticipates that AI will increasingly shift value towards database platforms like MongoDB, especially for inference tasks that require real-time data access [49][50] - There is a recognition of the need for governance and control in AI applications, which will be critical as businesses adopt more agentic technologies [47][48] Additional Insights - MongoDB's founders had prior experience with web-scale applications, which informed the design of its database architecture to handle large volumes of unstructured data [16][17] - The company is aware of the challenges posed by AI hallucinations and the need for robust data governance in AI applications [44][45] This summary encapsulates the key insights and strategic directions discussed during the MongoDB conference call, highlighting the company's market position, growth strategies, technological advancements, and financial outlook.

Key Takeaways Atlas unifies operational data, search and AI tools to simplify infrastructure for enterprise users.In second-quarter fiscal 2026, Atlas generated 74% of MongoDB's total revenues, rising 29% year over year.The Zacks Consensus Estimate pegs Atlas revenues of $455.8 million for third quarter, up 25.7% year over year.MongoDB’s (MDB) cloud native Atlas platform has established itself as the company’s strategic growth engine. Positioned as a unified data foundation, it brings together security, sca ...

Core Viewpoint - The analyst previously recommended a Hold on MongoDB (NASDAQ: MDB) due to concerns that the market was overvaluing the stock, as the company may not meet the implied earnings-per-share (EPS) expectations [1] Company Analysis - The analyst has a long position in MongoDB shares, indicating a personal investment interest in the company [1] - The analyst's background includes experience as a Merchant Seaman and an engineering background, which influences a preference for technology stocks [1] Market Context - The recommendation was made on December 12, 2023, suggesting a specific timeframe for the analysis and market conditions at that time [1]

Core Insights - MongoDB is positioned as a next-generation database that organizes data in a document format, which is considered more natural and easier to express in the modern world [2] - The company supports a wide range of data types, including structured, semi-structured, and unstructured data, which aligns with real-world applications [2] - MongoDB's use cases span from transactionally intensive applications to event-driven scenarios, such as logging and time series data [2][3] Company Overview - MongoDB's growth opportunity is significantly tied to advancements in AI, reflecting a shift from earlier SaaS mobile era perspectives [1] - The company aims to cater to diverse use cases, indicating a broad applicability of its database solutions in various industries [3]

Financial Data and Key Metrics Changes - MongoDB reported a strong quarter with Atlas growth reaccelerating to 29% [9][12] - Internal execution improvements were highlighted as key drivers of performance rather than AI [12][14] - Customer acquisition numbers are growing healthily, indicating improved efficiency in acquiring and servicing small and medium-sized markets [14] Business Line Data and Key Metrics Changes - The company has shifted more go-to-market resources upmarket, leading to better returns and sales productivity [12][13] - Strategic workloads are growing faster, particularly in large traditional enterprises in the US and Europe [21][22] Market Data and Key Metrics Changes - The relational market is consolidating, with many customers migrating from legacy platforms to MongoDB due to high technical debt and the need for modern applications [49][50] - There is a pent-up demand for migration from legacy applications, driven by the challenges of running on outdated platforms [49] Company Strategy and Development Direction - MongoDB aims to leverage AI and automation tools to facilitate migrations from relational databases [51][52] - The company is focused on maintaining a balance between driving growth and improving margins, with ongoing investments in efficiency [55][56] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the market potential and the company's position to capitalize on the AI wave [83] - The enterprise market is still in early stages of AI adoption, with many companies yet to realize the transformative potential of AI [43][42] Other Important Information - The acquisition of Voyage is seen as a strategic move to enhance embedding models and attract AI customers [66] - MongoDB's self-serve model is highlighted as an efficient way to drive growth and customer engagement [61] Q&A Session Summary Question: What drove the strength in the quarter? - Management attributed the strong performance to internal execution rather than AI, with a focus on moving resources upmarket [12][14] Question: What types of workloads have been acquired recently? - Recent workloads are strategic and varied, with a focus on high-growth applications rather than a single thematic use case [19][20] Question: How does MongoDB view competition with Postgres? - Management noted that the rise of Postgres is due to the consolidation of the relational market, but emphasized MongoDB's advantages in handling modern workloads [30][35] Question: What is the outlook for AI customers? - Many new customers identify as AI companies, indicating a positive trend for future growth, although the market is still developing [40][41] Question: How is MongoDB addressing migration from legacy systems? - The company is developing automation tools to facilitate migration, leveraging AI to streamline the process [51][52] Question: What are the goals for efficiency and growth? - Management aims to optimize spending to drive growth while continuing to invest in the business [55][56]

Core Insights - The enterprise software market is rapidly growing, projected to reach $517.3 billion by 2030, with a CAGR of 12.1% driven by AI integration and digital transformation initiatives [2] - MongoDB and ServiceNow are key players in this transformation, with MongoDB focusing on database infrastructure and ServiceNow on workflow automation [1] MongoDB (MDB) - MongoDB is well-positioned to benefit from modern application architectures and AI workloads, with its Atlas cloud database showing a 29% year-over-year revenue growth in Q2 of fiscal 2026 [3] - The Zacks Consensus Estimate for Q3 fiscal 2026 Atlas revenues is $437 million, reflecting a 20.4% increase from the previous year [3] - MongoDB's customer base grew by 2,800 in the last quarter, totaling 59,900, with a projected increase to 61,500 customers in Q3, marking a 16.9% year-over-year growth [5] - The Zacks Consensus Estimate for fiscal 2026 earnings has been revised upward by 18.6% to $3.64 per share, indicating optimism about profitability [6] - MongoDB's document-based model offers flexibility for complex data handling, enhancing efficiency in building AI applications [4] ServiceNow (NOW) - ServiceNow is expected to maintain steady growth in workflow automation, with subscription revenues increasing by 21.5% in constant currency to $3.11 billion in Q2 of 2025 [7] - The Zacks Consensus Estimate for Q3 subscription revenues is $3.26 billion, up 20.7% year-over-year [7] - Current remaining performance obligations (cRPO) rose 24.5% year-over-year to $10.9 billion, with a projected increase to $11.09 billion in Q3 [8] - ServiceNow's renewal rates are stable at 98%, with 528 customers generating over $5 million in annual contract value [9] - The Zacks Consensus Estimate for fiscal 2025 earnings is $16.79 per share, with no revisions in the past 30 days, indicating tempered investor sentiment [10] Price Performance and Valuation - MongoDB's stock has outperformed ServiceNow in 2025, gaining 36.7% year-to-date, while ServiceNow shares have declined by 14.1% [11] - Both companies are considered overvalued, with MongoDB trading at a forward price-to-sales ratio of 10.15X and ServiceNow at 12.85X, reflecting differing growth expectations [13] Conclusion - Both MongoDB and ServiceNow are positioned to benefit from digital transformation, but MongoDB presents a stronger upside potential due to its architecture and growth momentum [15] - MongoDB is currently rated as a Zacks Rank 2 (Buy), while ServiceNow holds a Zacks Rank 3 (Hold), indicating a preference for MongoDB at present levels [16]

Technical Analysis - MongoDB, Inc. (MDB) has reached a key level of support, with its 50-day simple moving average crossing above the 200-day simple moving average, indicating a "golden cross" [1] - A golden cross is a technical chart pattern that suggests a bullish breakout may be imminent, typically involving the 50-day and 200-day moving averages [1][2] Market Performance - MDB has moved 39.5% higher over the last four weeks, suggesting strong upward momentum [3] - The company currently holds a 2 (Buy) rating on the Zacks Rank, indicating positive market sentiment [3] Earnings Outlook - MDB's earnings outlook for the current quarter is positive, with 11 upward revisions and no downward revisions in the past 60 days [3] - The Zacks Consensus Estimate for MDB has also increased, further strengthening the bullish case for the company [3][4] Investment Consideration - Investors are encouraged to monitor MDB for potential gains due to its key technical levels and favorable earnings estimate revisions [4]