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Presto vs Snowflake
July 21, 2023 | Author: Michael Stromann
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Presto is a highly parallel and distributed query engine for big data, that is built from the ground up for efficient, low latency analytics.
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Snowflake is the only data platform built for the cloud for all your data & all your users. Learn more about our purpose-built SQL cloud data warehouse.
See also:
Top 10 Big Data platforms
Top 10 Big Data platforms
Presto and Snowflake are both powerful data processing platforms, but they have distinct differences that cater to different user needs. Presto is an open-source distributed SQL query engine designed for high-speed data analytics. It allows users to run interactive queries on various data sources, including Hadoop Distributed File System (HDFS), Amazon S3, and more. Presto's architecture is optimized for low-latency queries, making it an excellent choice for organizations with real-time data analysis requirements. On the other hand, Snowflake is a cloud-based data warehousing platform known for its scalability, elasticity, and ease of use. Snowflake's architecture separates compute and storage, enabling organizations to scale their data processing independently. It is a fully managed service, making it convenient for businesses without the need for manual cluster management. Snowflake's pay-as-you-go pricing model is cost-effective for businesses with varying data processing needs.
See also: Top 10 Big Data platforms
See also: Top 10 Big Data platforms
Presto vs Snowflake in our news:
2021. Cloud security startup Lacework has raised $525M
Lacework, a cloud security startup that offers a solution built on the Snowflake platform, has raised $525 million in its Series D funding round, bringing its total funding to over $1 billion. The company reported a remarkable 300% year-over-year revenue growth for the second consecutive year. Investors and customers have shown significant interest due to the comprehensive nature of Lacework's security solution. It enables companies to securely build in the cloud and covers multiple market categories to meet diverse customer needs. This includes services such as configuration and compliance, infrastructure-as-code security, vulnerability scanning during build time and runtime, as well as runtime security for cloud-native environments like Kubernetes and containers.
2019. Starburst raises $22M to modernize data analytics with Presto
Starburst, the company seeking to commercialize the open-source Presto distributed query engine for big data (originally developed at Facebook), has announced a successful funding round, raising $22 million. The primary objective of Presto is to enable anyone to utilize the standard SQL query language for executing interactive queries on vast amounts of data stored across diverse sources. Starburst intends to monetize Presto by introducing several enterprise-oriented features. These additions will primarily focus on enhancing security, such as role-based access control, and integrating connectors to enterprise systems like Teradata, Snowflake, and DB2. Additionally, Starburst plans to provide a management console that empowers users to configure the cluster for automatic scaling, among other functionalities.
