Snowflake

San Mateo, CA, USA
2012
  |  By Kamakshi Sivaramakrishnan
In December 2023, Snowflake announced its acquisition of data clean room technology provider Samooha. Samooha’s intuitive UI and focus on reducing the complexity of sharing data led to it being named one of the most innovative data science companies of 2024 by Fast Company. Now, Samooha’s offering is integrated into Snowflake and launched as Snowflake Data Clean Rooms, a Snowflake Native App on Snowflake Marketplace, generally available to customers in AWS East, AWS West and Azure West.
  |  By Snowflake
As organizations seek to drive more value from their data, observability plays a vital role in ensuring the performance, security and reliability of applications and pipelines while helping to reduce costs. At Snowflake, we aim to provide developers and engineers with the best possible observability experience to monitor and manage their Snowflake environment. One of our partners in this area is Observe, which offers a SaaS observability product that is built and operated on the Data Cloud.
  |  By Ellery Berk
Today, enterprises are focused on enhancing decision-making with the power of AI and machine learning (ML). But the complexity of ML models and data science techniques often leaves behind organizations without data scientists or with limited data science resources. And for those organizations with strong data analyst resources, complex ML models and frameworks may seem overwhelming, potentially preventing them from driving faster, higher-quality insights.
  |  By Snowflake
Late last month, innovators from across the telecommunications spectrum — and all the industries that rely on connectivity to succeed — gathered at Mobile World Congress Barcelona (MWC), the biggest telecom conference of the year.
  |  By Baris Gultekin
Snowflake is committed to helping our customers unlock the power of artificial intelligence (AI) to drive better decisions, improve productivity and reach more customers using all types of data. Large Language Models (LLMs) are a critical component of generative AI applications, and multimodal models are an exciting category that allows users to go beyond text and incorporate images and video into their prompts to get a better understanding of the context and meaning of the data.
  |  By Winston Chang
Having frequently worked with governments around the world over the course of my career, I’ve had all kinds of discussions about the global impact of generative AI. Today, I’m publicly wading into those waters to deliver my perspective, and my opinion is that … it’s incredibly hard to predict the future. Done. Wrapped up this entire post in a single sentence.
  |  By Shiyi Gu
Executives across various industries are under pressure to reach insights and make decisions quickly. This is driving the importance of streaming data and analytics, which play a crucial role in making better-informed decisions that likely lead to faster, better outcomes.
  |  By Tom Stuermer
Think back just a few years ago when most enterprises were either planning or just getting started on their cloud journeys. The pandemic hit and, virtually overnight, the need to radically change ways of working pushed those cloud journeys into overdrive. Cost-effective adaptability was essential. And the companies that could scale up or scale down quickly were the ones that navigated the pandemic successfully. Migrating to the cloud made that possible.
  |  By Snowflake
In February, Snowflake released a slew of new features that continue to expand the scope of what you’re able to do with Snowflake, including the public preview of Hybrid Tables. Read on to learn more about everything we announced last month.
  |  By Snowflake
Geospatial data can give a business a competitive edge — especially when it’s combined with the company’s own data resources. Considering a new store location? You’ll want to analyze not just where your nearest competitors and potential customers are, but also retail footfall numbers, historical traffic patterns, distance from distribution centers, environmental factors, potential delivery times to customers and more. You need geospatial data to make it all happen.
  |  By Snowflake
In order to deliver on their missions, public agencies and departments must modernize IT to improve citizen services, streamline operational inefficiencies, drive research and innovation, and enable data collaboration across and beyond organizational lines. Unfortunately, the ability of public sector organizations to generate value from data is hindered by several challenges, including technical delays caused by legacy IT infrastructure, policy roadblocks, and institutional status quos. The public sector needs a protected, scalable, and flexible platform to centralize, govern, and securely share mission-critical data.
  |  By Snowflake
Newly appointed Snowflake CEO Sridhar Ramaswamy joins Snowflake's Director of Engineering Mona Attariyan and "Data Cloud Now" anchor Ryan Green to discuss the need for organizations to prepare themselves to take full advantage of Gen AI by implementing a carefully developed data strategy that eliminates data silos and promotes data sharing while protecting data privacy.
  |  By Snowflake
"Powered by Snowflake" host Phoebe He sits down with Satish Abburi, Founder and CTO of Elysium Analytics, to discuss his company's modern log analytics platform, which seamlessly offers scalable search, security, and observability solutions powered by open-source tools and the Snowflake Data Platform. For more information about Elysium Analytics, go to: To connect with Satish Abburi, go to.
  |  By Snowflake
How will the rise of AI impact the ability of organizations to maintain data security? That's the topic examined in this discussion between "Data Cloud Now" anchor Ryan Green and Snowflake's former VP of Security Mario Duarte and Principal Product Manager Anoosh Saboori.
  |  By Snowflake
In this conversation with Snowflake's Christian Kleinerman, Amanda Kelly, and Adrien Treuille, "Data Cloud Now" anchor Ryan Green discusses the origins of Streamlit, its exponential growth as an application development tool since being acquired by Snowflake, and the important role it is playing in the development of machine learning models across all industries. This wide-ranging conversation also explores the ways Gen AI and LLMs will transform the application development process and touches on the role the Open Source community will play in that transformation.
  |  By Snowflake
Snowflake's Mona Attariyan, Director of Engineering, leads this conversation with Snowflake's Sunny Bedi, CIO and CDO, and Jennifer Belissent, Principal Data Strategist, about the impact Gen AI and LLMs will have on enterprises. Topics covered range from the impact on employee productivity, the personalization of the customer experience, the opportunities for data monetization. and more.
  |  By Snowflake
How will Gen AI and LLMs impact the nature of people's jobs and worker productivity? "Data Cloud Now" anchor Ryan Green kicked off the Data and AI Predictions 2024 event in January by discussing that topic with Snowflake's CEO Sridhar Ramaswamy and Mona Attariyan, Director of Engineering. The conversation also covers the potential for AI to generate misinformation and the need to establish ethical guardrails for the technology.
  |  By Snowflake
Benjamin Deaver, Senior Solutions Architect at SNP Group, sits down with "Powered by Snowflake" host Felipe Hoffa to demonstrate the operation of SNP Glue Connector for SAP, a Snowflake Native Application. Its purpose is to push data to Snowflake from the SAP NetWeaver stack and then consolidate it and merge it together.
  |  By Snowflake
Fueled by vast data volumes and powerful computing, AI is revolutionizing work. To capture the value of Generative AI for business, companies need to customize LLMs with their enterprise data. But feeding sensitive data into externally hosted LLMs poses security and exposure risks, and self-hosting LLMs carry a heavy operational burden from maintaining complex environments.
  |  By Snowflake
Launched in 2013, Canva is an online design and visual communication platform. As of today, the Canva platform is used by 170+ million users every month, across 190 countries and in over 100 languages, generating over 20 billion designs and still counting.
  |  By Snowflake
There's never been a better time to be an entrepreneur looking for investment funding. Global venture capital activity grew mightily in the first half of 2021, and the trend appears to be continuing as we head into 2022. However, that doesn't mean building a new company is any easier. The same inherent resource and growth challenges exist, and venture capitalists still want to see value creation and strong indicators for future success before they invest.
  |  By Snowflake
Data scientists require massive amounts of data to build and train machine learning models. In the age of AI, fast and accurate access to data has become an important competitive differentiator, yet data management is commonly recognized as the most time-consuming aspect of the process. This white paper will help you identify the data requirements driving today's data science and ML initiatives and explain how you can satisfy those requirements with a cloud data platform that supports industry-leading tools.
  |  By Snowflake
Many organizations struggle to share data internally across departments and externally with partners, vendors, suppliers, and customers. They use manual methods such as emailing spreadsheets or executing batch processes that require extracting, copying, moving, and reloading data. These methods are notorious for their lack of stability and security, and most importantly, for the fact that by the time data is ready for consumption, it has often become stale.
  |  By Snowflake
DELIVER ALL YOUR DATA WORKLOADS WITH SNOWFLAKE Gartner predicts that 75% of all databases will be deployed or migrated to a cloud platform by 2022. But how does e a cloud data platform enable a long-term strategy for maximizing all of an organization's data assets? Snowflake's cloud data platform is a highly extensible, multi-region and multi-cloud platform that powers all types of data workloads. Specifically, Snowflake: To learn everything Snowflake offers today's, forward-looking organizations, download our white paper, Snowflake: One Cloud Data Platform for All Your Analytic Needs.
  |  By Snowflake
Most companies that build software have a strong DevOps culture and a mature tool chain in place to enable it. But for developers that need to embed a data platform into their applications to support data workloads, challenges emerge. DevOps for databases is much more complex than DevOps for code because database contain valuable data, while code is stateless. Instantly creating any number of isolated environments Reducing schema change frequency with variant data type
  |  By Snowflake
Companies are moving workloads to the cloud as they seek to improve speed, scale, and agility. Today's data warehouse managers want to boost analytics productivity, increase the ability to scale instantly, and ingest and support a diverse set of data without bottleneck delays. In this white paper, we explain how Snowflake delivers the speed, scale, and agility organizations need for data-driven decision-making.
  |  By Snowflake
Financial institutions are embracing cloud-based data technologies to improve their service and product offerings, streamline operations, and gain deeper customer insights. This ebook features success stories about the many ways financial services companies are leveraging Snowflake Cloud Data Platform to build a 360 degree view of customers, accelerate financial analysis with unlimited scale, and keep sensitive and regulated data secure.
  |  By Snowflake
Read about Snowflake's comprehensive approach to protecting data and access to data.
  |  By Snowflake
As companies have recognized the importance of unifying customer data to obtain business insights, customer data platforms that consolidate and activate known customer information have become ubiquitous. Customer data platforms enable marketers to segment and share customer profiles with marketing systems to personalize the content of email campaigns, digital ads, and other channels. In this ebook, we explore how marketers can launch and operate a customer data platform successfully, with a focus on how to.

Snowflake’s mission is to enable every organization to be data-driven. Our cloud-built data platform makes that possible by delivering instant elasticity, secure data sharing and per-second pricing, across multiple clouds. Snowflake combines the power of data warehousing, the flexibility of big data platforms and the elasticity of the cloud at a fraction of the cost of traditional solutions.

Conventional data platforms and big data solutions struggle to deliver on their fundamental purpose: to enable any user to work with any data, without limits on scale, performance or flexibility. Whether you’re a data analyst, data scientist, data engineer, or any other business or technology professional, you’ll get more from your data with Snowflake.

What Makes Snowflake Unique:

  • A Multi-Cluster Shared Data Architecture Across Any Cloud: Easily scale up and down any amount of computing power for any number of workloads or users and across any combination of clouds, while accessing the same, single copy of your data but only paying for the resources you use thanks to Snowflake’s per-second pricing.
  • Secure Data Sharing and Collaboration: Eliminate the cost and headache of static data sharing methods by easily sharing any amount of live structured and semi-structured data, without having to move data, whether it be across your enterprise, with customers and business partners, or to monetize your data.
  • One, Near-Zero Maintenance Platform Delivered as a Service: Choose any combination of infrastructure providers, enable your workloads where you want, rely on Snowflake to manage the data platform, and deploy across and between different clouds and regions to support business efficiencies and data sovereignty.

A Modern Data Platform Built For Any Cloud.