Pitchndeal’s Post

🚀 'Snowflake snaps up data management company Datavolo' 🌟 Your next game-changer is here! 🌱 Calling all investors and founders: Dive into actionable insights, groundbreaking ideas, and strategies to take your journey to the next level. 👉 Read it now: https://lnkd.in/g8_vEsSE ✨ Cloud giant Snowflake has agreed to acquire Datavolo, a data pipeline management company, for an undisclosed sum. Snowflake unveiled the deal at the close of the market bell on Wednesday, when it also announced its Q3 2025 earnings. The purchase hasn’t yet closed, and it’s subject to customary closing conditions, Snowflake noted in a release. […] Don’t miss out on this must-read for leveling up in the world of startups and investment. Let’s innovate, grow, and succeed together! #Leadership #Innovation #Startups #Entrepreneurship #Founders #Investors #Growth #Strategy #Success

Been working hard - writing code, building #product, crafting your value proposition, scoping market demand, enticing early adopters? 🤔 Is it time to exit stealth mode? In 2015, three years after founding, Snowflake knew the time was right to unveil its #cloud #data warehousing platform. Here's how they got from A to Z. And the pivotal moments that shaped their journey from #startup to #unicorn. 📈 Company History Snowflake Inc., a cloud-based data-warehousing company, was founded in 2012 with a unique architecture that separates data computation from storage. This allows businesses to scale their data usage needs, optimizing cost, performance, and flexibility. The company’s growth is attributed to its robust product offering, user-friendly platform, and strategic leadership decisions. Snowflake’s impact on the data industry has been substantial, offering a scaleable and easy-to-use data warehousing solution. This has democratised access to data #analytics for businesses of all sizes and sparked increased competition in the cloud data warehousing space. 💰 #Investment Timeline ⮞ Series A (2012): Raised $5 million, led by Sutter Hill Ventures. ⮞ Series B (2014): Secured $26 million, led by Redpoint Ventures. ⮞ Series C (2015): Raised $45 million, led by Altimeter Capital. ⮞ Series D (2017): Secured $100 million, led by ICONIQ Capital. ⮞ Series E (2018): Raised $263 million, valuing the company at $1.5 billion. ⮞ Series F (2018): Raised another $450 million, bringing its post-money valuation to $3.5 billion. ⮞ Series G (2020): Raised $479 million at a valuation of $12.4 billion. 💼 Executive #Leadership The leadership of Bob Muglia and Frank Slootman played pivotal roles in driving the company’s growth and establishing its foothold in the market. Muglia shaped Snowflake’s value proposition of the cloud-native data warehouse separating storage from compute resources. Slootman led the company to its successful #IPO. The company’s product portfolio, including Snowpipe and Snowflake Data Sharing, has continually expanded, introducing innovative features that push the boundaries of data analytics. References: Bigeye 🦘 JUMP IN THE CONVERSATION 👉 Are you ready to scale like Snowflake? What's the next challenge for you? 👉 In your business journey to date, what milestones are you the most proud of? 🎁 BONUS RESOURCES Ready to scale your business? #Marketing and #sales need a boost? If you are a #B2B service firm looking not only grow revenues but also increase #profit... Drop >> #REVENUE << in the comments and I'll send a copy of Wonderland Digital's free resource: 💡 Growing Your Sales Pipeline #finance #banking #investment #venturecapital #privateequity #insurance #accounting #tax #audit

Snowflake (NYSE: SNOW), the AI Data Cloud company, announced it has signed a definitive agreement to acquire Datavolo, the company built to rapidly accelerate the creation, management, and observability of multimodal data pipelines for enterprise AI1. With this acquisition, Snowflake will deepen its service in the ‘bronze layer’ of the data lifecycle and will deliver a simple way for data engineering teams to integrate all of their enterprise systems with Snowflake’s unified platform, where they can then unlock data for AI and ML, apps and analytics, and leverage the scale, performance, and built-in governance of the AI Data Cloud. Datavolo and Snowflake will simplify data engineering workloads and deliver unmatched data interoperability and extensibility - a building block for effective enterprise AI. With Datavolo, which raised $21 million in venture capital from investors including Citi Ventures and General Catalyst prior to the acquisition, Snowflake CEO Sridhar Ramaswamy envisions creating more versatile data processing pipelines for Snowflake customers. For example, he says, Datavolo might enable users to replace single-use data connectors with flexible pipelines that let them move data from cloud and on-premise sources to Snowflake’s data cloud. #techgiant #technology #merger #acquisition #techdeal #data #innovation #startup #future #digital #dataanalytics #explore #linkedin #datamanagement #analyticaltools TechCrunch #usphouse https://lnkd.in/gFsYwk2h

Today, I am happy to announce our $35M series B funding round, led by Craft Ventures . The Craft team is well-renowned for its work with amazing SaaS companies. Michael Robinson is bringing the SaaS DNA to our board as we scale our customer base. 🏇 We remain laser-focused on building Onehouse as the most open and interoperable data lakehouse platform, with lightning-fast incremental data pipelines and unmatched cost efficiency, working seamlessly across clouds, warehouses, compute engines and data table formats. ✨ Customers have been clamoring for an open data architecture that decouples data into open formats from compute engines for over five years now. With recent support for open table formats across all major players and the mainstream focus on interoperability, the market feels right for this big shift. 🙌 In such a world, Onehouse will continue to be the agent of change, advocating for using the right engines for the right workloads on your data. On the personal front, building an independent company with an ambitious vision in a large market like data is not for the faint of heart. I sincerely thank everyone on the team, my family and my friends; this could not have been possible without their support. Until next time, back to work for our customers and the open-source data community. Checkout the full blog here https://lnkd.in/gvqVyUdH #dataengineering #bigdata #data #datawarehouse #datalake #datalakehouse #datamanagement #streamprocessing #datascience #machinelearning #opensource #startups #cloud

Congrats Vinoth Chandar. It's great to see real open innovation being rewarded. AI early funding rounds capture the headlines, but Lakehouses are quietly revolutionizing the Big Data that fuels them. The term “Big Data” was popularized in the Hadoop era, primarily supporting unstructured content. Since then, object storage has replaced file systems for two key reasons: Cost-efficiency from the separation of compute and storage. Superior support for both unstructured and structured data. EDW platforms with isolated storage, like Redshift, merely shift costs from on-premises to the cloud [pun intended]. In contrast, Lakehouses, built on open table formats, lower costs and disrupt vendor lock-in. This trend is evident with Databricks' acquisition of Tabular for an estimated $2-$3 billion and Onehouse's impressive $35 million Series B raise. More announcements in this space are sure to follow. Astute investors recognize that the most impressive engine is inert without a fuel source. Similarly, data infrastructure is crucial for AI. From the boardroom to operations and the sales floor, data is as indispensable as the powerful generative AI algorithms and models that are transforming industries. Forward-thinking VCs, such as Craft Ventures, are not only investing in high-profile areas like AI but also recognize that robust data infrastructure is essential for harnessing the full potential of AI and analytics.

We're excited to see Snowflake expanding its reach in the private equity space through a new partnership with Teragonia. This collaboration brings together Snowflake's powerful AI Data Cloud with Teragonia's expertise in analytics engineering for PE portfolio companies. What stands out about this partnership is its focus on solving real, pressing challenges in the PE world. Data fidelity issues often hinder portfolio companies' ability to scale quickly — a critical factor in PE timelines. By combining Snowflake's sophisticated platform with Teragonia's industry-specific solutions, they're offering a way to dramatically accelerate value creation. This move underscores why we've been bullish on Snowflake since we invested in their seed round. They’ve got the ability to enable partners to build transformative, industry-specific applications on their flexible, powerful platform. For startup founders, this partnership shows the importance of finding the right collaborators to expand your product's reach and impact. We're excited to watch how this unfolds and the value it brings to the PE ecosystem! Learn more about this announcement here: https://lnkd.in/gnQvHuNS

This is a great resource! Pragun B. is one of the best I know at connecting the dots between business and data engineering. If your startup is trying to figure out what data stack to choose, or unsure what you might be missing out on, I think you'll benefit from reading it.

What really drove Databricks 10 billion in funding at a $62 billion valuation? Considering this was breaking records even amid high demand for AI infrastructure. In short, the company pivoted into data warehousing in 2020, becoming a major Snowflake competitor, and successfully so, but there is even more to it in its AI play. In fact, with $3 billion projected revenue, Databricks now powers enterprise data critical for AI models, solidifying its industry leadership. Yet more in detail to understand such valuation: • Record-Breaking Funding: Databricks raised $10 billion in funding, achieving a $62 billion valuation, surpassing OpenAI’s $6.6 billion round in October. • Demand Surge: High institutional demand caused the valuation to rise from $60 billion to $62 billion within days. • Investor Participation: Led by Thrive and existing investors like Insight Partners, which leveraged its Public Equities fund to co-lead. • Non-Dilutive Offer: Included a secondary tender offer allowing employees and early investors to sell shares while issuing new preferred shares for investors. • Strategic Pivot: Despite initial skepticism, CEO Ali Ghodsi successfully entered the data warehousing market in 2020 with Databricks SQL, becoming a strong competitor to Snowflake. • AI Relevance: Databricks now provides high-quality enterprise data critical for training large language models (LLMs), strengthening its position in AI infrastructure. • Revenue Growth: The company projects a $3 billion annual revenue run rate, with Databricks SQL growing 150% year-over-year to a $600 million revenue run rate. • Market Position: Positioned as a generational company for data, AI, and machine learning infrastructure, making it a hot target for investors amid the IPO market freeze. https://lnkd.in/dGTmUmdS

AI is reshaping SaaS. Managed DBs and AI-first design can cut operational overhead, shortening time-to-market.  https://lnkd.in/duwfSw5U #AI #SaaS #managedDB #startups #innovation