The cloud computing firm Snowflake reported over **** thousand customers as of October 31, 2024. This was an increase of around *** thousand customers on the previous year, representing a yearly growth of over ** percent.

As of the second quarter in its 2025 fiscal year, the cloud computing firm Snowflake had *** customers, contributing over *********** U.S. dollars in product revenue. At that same time, the firm had ****** customers in total.

The data cloud firm Snowflake reported that *** of its customers were listed on the Forbes Global 2000 as of the company's second fiscal quarter of 2025, which covers the three-month period leading to July 31, 2024. The Forbes Global 2000 ranks public companies by assessing sales, profits, assets and market value. As of July 31st, 2025, Snowflake reported ****** customers in total.

The momentum of Databricks (not yet public) and Snowflake to re-write the reality of data in the Cloud truly is a sight to behold. Snowflake fell in extended trading on Wednesday after the company released third-quarter results that beat estimates but offered light product revenue guidance. However its stock price later bounced back even stronger. Go figure? A lot of hype… SNOW Up 10%, it’s really in a league of its own for growth in the Cloud. With a market cap close to $50 billion (data taken from its stock price in Excel), it’s hard to evaluate the business fundamentals away from the hype. The promise of unified data is very tantalizing indeed, yet when Databricks goes public, I don’t see Snowflake dominating like it has been in recent times. The Company’s platform enables customers to consolidate data into a single source to drive business insights, build data-driven applications and share data. Snowflake said it anticipates product revenue will be between $535 and $540 million in its fourth quarter, short of the $553 million expected by analysts estimates according to StreetAccount. Yet investors don’t seem to mind. Snowflake Inc. Shares have lost about 59.7% since the beginning of the year versus the S&P 500's decline of -17%. The recent low was $119 in June, 2022. You can read their Earnings here. Snowflake Earnings Product revenue of $522.8 million in the third quarter, representing 67% year-over-year growth Remaining performance obligations of $3.0 billion, representing 66% year-over-year growth 7,292 total customers Net revenue retention rate of 165% 287 customers with trailing 12-month product revenue greater than $1 million Revenue for the quarter was $557.0 million, representing 67% year-over-year growth. I can see why Snowflake is so popular though. Snowflake is Wildly Popular Currently Snowflake is wildly popular as one of the best growth stocks, . Snowflake provides an end to end data warehousing solution. There is practically no limit to the amount of databases and warehouses you can create (Ofcourse, you need Snowflake credits for creating and using warehouses). It's a highly scalable solution that adheres to all the data security best practices. I do believe Databricks is the better company in the end, but time will tell. Why would this company have a market cap of $50 billion already? They have 5,000 employees, lose money at a good clip and will experience significant competition in the coming years. Net Loss is Concerning Snowflake may not respond well to the significant slowdown in spending we are likely to see in 2023. It needs to significantly reset to be tempting. It does have 287 customers with trailing 12-month product revenue greater than $1 million which is encouraging. It’s growth in the 45-50% range is still very impressive for a company of its size. After 2023 we’ll have a much better idea of the real momentum of Snowflake. Snowflake reported 34% year-over-year growth in the number of customers, reaching 7,292 in the reported quarter. The company added 28 Forbes Global 2000 customers in the reported quarter. Snowflake signed 14 new customers with $1 million in trailing 12-month product revenues in the reported quarter. The real question is how much will it slow down in 2023. The Data Cloud is still Nascent While it’s appealing to invest in first-movers like Snowflake or later Databricks, how will competition and the Data cloud continue to evolve? It’s fairly hard to predict. Snowflake is not a traditional SaaS model, it’s pay as you go consumption based. It’s not yet clear if this is the right business model for optimal profitability. 93% of revenue is consumption-based Revenue recognized only as consumption occurs In many cases, rollover of unused capacity permitted, generally on the purchase of additional capacity Contract durations increasing along with larger customer commitments Primarily billed annually in advance with some on-demand in arrears If you are uncertain of Snowflake’s growth you can visit their visual Earnings PDF. The TAM of the Data Cloud is big enough for room for a lot of different kinds of companies and competitors. In our opinion, Snowflake is in a prime position to compete with AMD, one of the best value stocks. To read more about other Cloud Computing companies, check out: Apple Fair Value Apple P/E Apple EV/EBITDA Microsoft Fair Value Microsoft P/E Microsoft EV/EBITDA Tesla Fair Value Tesla P/E Tesla EV/EBITDA Amazon Fair Value Amazon P/E Amazon EV/EBITDA Netflix Fair Value Netflix P/E Netflix EV/EBITDA

Snowflake Inc. provides a cloud-based data platform in the United States and internationally. The company's platform offers Data Cloud, which enables customers to consolidate data into a single source of truth to drive meaningful business insights, build data-driven applications, and share data. Its platform is used by various organizations of sizes in a range of industries. The company was formerly known as Snowflake Computing, Inc. and changed its name to Snowflake Inc. in April 2019. Snowflake Inc. was incorporated in 2012 and is based in Bozeman, Montana.

Browse Snowflake Inc. (SNOW) market data. Get instant pricing estimates and make batch downloads of binary, CSV, and JSON flat files.

Consolidated last sale, exchange BBO and national BBO across all US equity options exchanges. Includes single name stock options (e.g. TSLA), options on ETFs (e.g. SPY, QQQ), index options (e.g. VIX), and some indices (e.g. SPIKE and VSPKE). This dataset is based on the newer, binary OPRA feed after the migration to SIAC's OPRA Pillar SIP in 2021. OPRA is notable for the size of its data and we recommend users to anticipate several TBs of data per day for the full dataset in its highest granularity (MBP-1).

Origin: Options Price Reporting Authority

Supported data encodings: DBN, JSON, CSV Learn more

Supported market data schemas: MBP-1, OHLCV-1s, OHLCV-1m, OHLCV-1h, OHLCV-1d, TBBO, Trades, Statistics, Definition Learn more

Resolution: Immediate publication, nanosecond-resolution timestamps

In Q3 of Snowflake's fiscal year 2025, the U.S. cloud data firm generated approximately *** million U.S. dollars in revenue, of which *** million U.S. dollars was product revenue. The remaining ** million U.S. dollars was generated from professional services or other revenue streams. Snowflake seeks to overcome data fragmentation by offering customers a platform that allows them to augment and integrate structured and unstructured data for analytics and insights.

The global Data Warehouse Solution market is experiencing robust growth, driven by the increasing need for businesses to leverage data for improved decision-making and operational efficiency. The market's expansion is fueled by several key factors, including the rising adoption of cloud-based solutions offering scalability and cost-effectiveness, the proliferation of big data and the need for advanced analytics capabilities, and the growing demand for real-time data processing across diverse sectors like finance, government, and enterprise. Furthermore, the increasing complexity of business operations and the need for better insights into customer behavior are stimulating market growth. While the market is highly competitive, with established players like Amazon Redshift, Snowflake, and Google Cloud dominating the landscape, emerging players and innovative solutions are also contributing to market dynamism. The segmentation by application (Finance, Government, Enterprise, Others) and type (Data Warehouse Platform, Data Warehouse Tool, Service, Others) reveals distinct market opportunities and growth trajectories within the sector. The North American market currently holds a significant share, followed by Europe and Asia Pacific, reflecting regional differences in technological adoption and digital transformation initiatives. However, Asia Pacific is projected to exhibit the fastest growth rate in the coming years due to increasing investments in digital infrastructure and expanding adoption of data warehousing solutions across various industries. The market's restraints include the high initial investment costs associated with implementing data warehouse solutions, the complexities involved in data integration and management, and the shortage of skilled professionals capable of managing and interpreting data warehouse outputs. Despite these challenges, the long-term growth prospects remain positive, fueled by ongoing technological advancements, increasing data volumes, and the sustained need for organizations to gain a competitive edge through data-driven insights. This suggests that the market will likely continue its expansion trajectory throughout the forecast period, with cloud-based solutions increasingly gaining traction. The continuous evolution of data warehousing technologies, such as advancements in artificial intelligence and machine learning for data analysis, will be a key driver of future growth.

About this dataset

Context

The dataset tabulates the Snowflake population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Snowflake. The dataset can be utilized to understand the population distribution of Snowflake by age. For example, using this dataset, we can identify the largest age group in Snowflake.

Key observations

The largest age group in Snowflake, AZ was for the group of age 5 to 9 years years with a population of 783 (12.33%), according to the ACS 2019-2023 5-Year Estimates. At the same time, the smallest age group in Snowflake, AZ was the 80 to 84 years years with a population of 52 (0.82%). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Snowflake is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Snowflake total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Snowflake Population by Age. You can refer the same here

Auto-generated structured data of Snowflake from table Fields

This repository contains documentation for the dataset that accompanies our ICPE 2025 paper, "Shaved Ice: Optimal Compute Resource Commitments for Dynamic Multi-Cloud Workloads". It also includes example R and Python notebooks to read and visualize the data, including scripts to reproduce the figures and analysis results in the paper.

This project is archived on Zenodo, an open-access repository, to ensure long-term reproducibility of the research.

Dataset The dataset contains normalized and obfuscated hourly data about VM demand in four example Snowflake deployments over a period of 3 years from 2/1/2021 to 1/30/2024. Each hour includes (type of VM, region, number of VMs of that type) used at that time. This dataset is available in both compressed CSV and Parquet formats.

Schema

Timestamp: An hourly timestamp for the record. VM Type: This field is obfuscated with the precise VM identifier from the Cloud Service Provider mapped into a capital letter. Region: The region where the VM was deployed. This field is obfuscated with the precise region name from the Cloud Service Provider mapped into a number between 1 and 4. Count: The number of VMs of the specified type, region, and hour. This field is normalized such that the largest type, region, hour tuple is set to 1000 in each region and other values are scaled linearly to the nearest whole number.

Potential Use Cases Provides realistic industry dataset for further research into cloud demand forecasting, commitment optimization, and capacity planning.

phuongnhunghp2541/snowflake dataset hosted on Hugging Face and contributed by the HF Datasets community

Ashkchamp/snowflake dataset hosted on Hugging Face and contributed by the HF Datasets community

This dataset provides information about the number of properties, residents, and average property values for 9th Street cross streets in Snowflake, AZ.

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Snowflake. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Snowflake. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in Snowflake, the median household income stands at $96,200 for householders within the 25 to 44 years age group, followed by $63,869 for the 45 to 64 years age group. Notably, householders within the 65 years and over age group, had the lowest median household income at $47,750.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Snowflake median household income by age. You can refer the same here

About this dataset

Context

The dataset presents the the household distribution across 16 income brackets among four distinct age groups in Snowflake: Under 25 years, 25-44 years, 45-64 years, and over 65 years. The dataset highlights the variation in household income, offering valuable insights into economic trends and disparities within different age categories, aiding in data analysis and decision-making..

Key observations

• Upon closer examination of the distribution of households among age brackets, it reveals that there are 66(3.78%) households where the householder is under 25 years old, 638(36.56%) households with a householder aged between 25 and 44 years, 569(32.61%) households with a householder aged between 45 and 64 years, and 472(27.05%) households where the householder is over 65 years old.
• In Snowflake, the age group of 25 to 44 years stands out with both the highest median income and the maximum share of households. This alignment suggests a financially stable demographic, indicating an established community with stable careers and higher incomes.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Income brackets:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $100,000 to $124,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Household Income: This column showcases 16 income brackets ranging from Under $10,000 to $200,000+ ( As mentioned above).
• Under 25 years: The count of households led by a head of household under 25 years old with income within a specified income bracket.
• 25 to 44 years: The count of households led by a head of household 25 to 44 years old with income within a specified income bracket.
• 45 to 64 years: The count of households led by a head of household 45 to 64 years old with income within a specified income bracket.
• 65 years and over: The count of households led by a head of household 65 years and over old with income within a specified income bracket.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Snowflake median household income by age. You can refer the same here

Snowflake Salt Market Outlook

The global snowflake salt market size was valued at approximately USD 5.2 billion in 2023 and is projected to reach USD 8.9 billion by 2032, growing at a compound annual growth rate (CAGR) of 6.1% during the forecast period. A key growth factor contributing to this market expansion is the rising demand for high-quality, specialty salts in various applications such as food and beverages, cosmetics, and pharmaceuticals.

The increasing consumer interest in gourmet and artisanal foods has significantly influenced the demand for snowflake salt. This type of salt, known for its unique texture and flavor enhancement properties, is being increasingly utilized by chefs and home cooks alike. The trend towards more natural and minimally processed food products has also bolstered the market. Additionally, the growing awareness of the health benefits associated with specialty salts, such as their rich mineral content, has further driven market growth.

In the cosmetics industry, the demand for snowflake salt is growing due to its exfoliating and detoxifying properties. Consumers are becoming more conscious of the ingredients in their skincare products and are leaning towards natural and organic options. Snowflake salt, often incorporated in bath salts, scrubs, and masks, is highly valued for its ability to cleanse and rejuvenate the skin. This trend is expected to continue driving the market growth in the cosmetics segment.

The pharmaceutical sector is also witnessing an increased usage of snowflake salt due to its therapeutic properties. It is used in various formulations for treating conditions like respiratory ailments, muscle cramps, and skin diseases. The antiseptic and anti-inflammatory properties of snowflake salt make it a valuable component in medicinal products. As the pharmaceutical industry continues to grow, the demand for high-quality ingredients like snowflake salt is projected to rise, further fueling market expansion.

Regionally, North America is expected to maintain a significant share of the snowflake salt market, driven by the high demand for gourmet foods and natural skincare products. Europe is also anticipated to showcase substantial growth, owing to the region's strong culinary traditions and increasing focus on health and wellness. Meanwhile, the Asia Pacific region is projected to experience the highest growth rate due to the rising middle-class population and increasing disposable incomes, leading to higher consumption of premium food and cosmetic products.

Product Type Analysis

The product type segment of the snowflake salt market is divided into flake salt, coarse salt, and fine salt. Flake salt is anticipated to hold the largest market share due to its unique texture and high demand in gourmet cooking. Chefs prefer flake salt for its ability to dissolve quickly and evenly, providing a burst of flavor without overpowering the dish. The increasing popularity of home cooking shows and food blogs has also contributed to the rising demand for flake salt among home cooks.

Coarse salt is another significant segment, particularly valued in the meat processing and grilling industries. Its larger crystals make it ideal for curing meats and adding a crunchy texture to dishes. The trend towards outdoor cooking and barbecues has significantly boosted the demand for coarse salt. Furthermore, coarse salt is also used in decorative applications, such as salt lamps and crafts, adding to its market growth.

Fine salt is commonly used in everyday cooking and baking. Its smaller granules make it easy to measure and mix with other ingredients, ensuring even seasoning. While it might not have the same artisanal appeal as flake or coarse salt, fine salt remains a staple in households and commercial kitchens. The growing food and beverage industry, coupled with the rising population, ensures a steady demand for fine salt.

Innovation in product offerings is another driving factor in this segment. Manufacturers are continually seeking to enhance the sensory experience of consumers by introducing new varieties of snowflake salt, such as smoked or flavored versions. These innovative products cater to the evolving tastes and preferences of consumers, thereby expanding the market.

Overall, the product type segment of snowflake salt is characterized by a diverse range of applications and a steady demand across different types of salts. The continuous innovation and focus on quality are expected to drive further growth in

No description found

This dataset provides information about the number of properties, residents, and average property values for 8th Street cross streets in Snowflake, AZ.

Snowflake Arctic Embed M V1.5 Embeddings for MSMARCO V2.1 for TREC-RAG

This dataset contains the embeddings for the MSMARCO-V2.1 dataset which is used as the corpora for TREC RAG All embeddings are created using Snowflake's Arctic Embed M v1.5 and are intended to serve as a simple baseline for dense retrieval-based methods. It's worth noting that Snowflake's Arctic Embed M v1.5 is optimized for efficient embeddings and thus supports embedding truncation and quantization. More… See the full description on the dataset page: https://huggingface.co/datasets/Snowflake/msmarco-v2.1-snowflake-arctic-embed-m-v1.5.