snowflake petabytes

There’s no need to restrict data access, create data marts, or buy additional compute capacity. For the first time, multiple groups can access petabytes of data at the same time, up to 200 times faster and 10 times less expensive than solutions not built for the cloud. The smallest warehouse, an XS, uses 1 credit per hour (1 credit = $1 or less), and each consecutive size doubles both the compute time and cost per hour.Pay as you go for only for the computing power you need. Snowflake enables organizations of all sizes to become leaders in the growing Data Economy by equipping them to analyze and securely share any part of their data without the constraints or complexity of traditional data sharing methods.

Thousands of customers deploy Snowflake to advance their businesses beyond what was once possible by deriving all the insights from all their data by all their business users.

Snowflake customers routinely execute millions of queries a day, supporting and empowering thousands upon thousands of users, with tables storing multi-petabytes of structured and semi-structured data such as JSON—all with a single implementation of Snowflake. Snowflake easily scales to multiple petabytes in minutes. Snowflake: Data without limits. Snowflake data storage costs are similar to Amazon’s S3 rate, so you can affordably store massive amounts of data without needing to worry about cost.Your computing power automatically scales to handle the load of users and queries. Snowflake is certified compliant for HIPAA, SOC 2, and PCI DSS, and also features Multi-Factor Authentication (MFA), Federated authentication, and Single Sign-On (SSO).Snowflake recently commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study looking at the projected cost and savings for four actual Snowflake customers.The Forrester study calculated a customer ROI of 604%, a net present value of $5.97 million and a payback period of fewer than three months for Snowflake’s built-for-the-cloud data warehouse.Over the last three years consecutively, Snowflake’s been featured in Gartner’s annual, ‘For 2019, Gartner elevated Snowflake from the position of Challenger, to Leader status.Recognition as a leader in these data markets should come as no surprise – with Snowflake’s unique, cloud-based architecture, and flexible enabling of the data economy across multiple, mainstream cloud service providers, their customer base has more than tripled in 2018, with a 247% year-over-year growth in revenue.Companies are realizing that with Snowflake, there’s an essentially infinite elasticity of computational resources and capacity, made available with a pay-by-the-second usage model, delivering the deepest, data-driven insights and price performance available. Senior Product Marketing Manager Amazon Redshift, Google BigQuery, Snowflake, and Hadoop-based solutions support a dataset size up to multiple petabytes in an optimal manner.

The Snowflake Cloud Data Platform shatters the barriers that prevent organizations from unleashing the true value from their data.

Snowflake is the leading data warehouse built for the cloud. Snowflake provides this through a zero-management, cloud-built data warehouse that easily and securely loads, integrates, and analyzes all types of data from a single source of truth.Additionally, more and more customers use Snowflake’s Secure Data Sharing feature to seamlessly and instantly collaborate across their ecosystems in real time. All Rights Reserved

Thank you both for the info.

After more investigation, it seems the metadata layer doesn't have much knowledge of the values. Snowflake easily scales to multiple petabytes in minutes. For the first time, multiple groups can access petabytes of data at the same time, up to 200 times faster and 10 times less expensive than solutions not built for the cloud.

But Snowflake is worth more than four times its October 2018 value of $3.9 billion after it raised $450 million.

With Secure Data Sharing, data doesn’t move.For privacy reasons YouTube needs your permission to be loaded. Its unique architecture delivers proven breakthroughs in performance, concurrency and simplicity. You can create the virtual warehouses you need to match your demand.Snowflake was built to support both structured and semi-structured data natively, so there’s no need to create an expensive, separate data store for your semi-structured data.

Reduced Maintenance. Here's a complete Snowflake and BigQuery comparison, based on factors like pricing, performance, and features. Its unique architecture delivers proven breakthroughs in performance, concurrency and simplicity.

No upfront costs, no available data space.

I expected the metadata to contain cardinality and counts for distinct major values, which can then be used for this query without ever opening any partitions but Snowflake doesn't maintain this and so it has to scan all the partitions for those counts. Snowflake’s patented technology natively loads and optimizes both structured and semi-structured data like JSON, Avro, or XML and makes it available via SQL without sacrificing performance.Give everyone access to the data they need without fear of performance degradation. Snowflake can support unlimited concurrent users because its shared data architecture allows multiple compute clusters to operate simultaneously on the same data without performance contention. Snowflake performs up to 200x faster than your legacy solution due to its columnar database engine to efficiently crunch data.Snowflake uses ANSI standard SQL, so all the standard language structures are familiar to developers who already speak the language.

Snowflake equips organizations with a single, integrated platform that offers the only data warehouse built for any cloud; instant, secure, and governed access to their entire network of data; and a core architecture to enable many other types of data workloads, including a single platform for developing modern data applications.

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Posted by / September 11, 2020