Apache Hive vs Snowflake

July 21, 2023 | Author: Michael Stromann
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Apache Hive
The Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage. Hive provides a mechanism to project structure onto this data and query the data using a SQL-like language called HiveQL. At the same time this language also allows traditional map/reduce programmers to plug in their custom mappers and reducers when it is inconvenient or inefficient to express this logic in HiveQL.
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Snowflake
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.

Apache Hive and Snowflake are both data processing platforms, but they have distinct differences that cater to different user needs. Apache Hive is an open-source data warehousing and SQL-like query language built on top of Hadoop. It allows users to query and analyze large datasets stored in Hadoop Distributed File System (HDFS) using SQL queries. Hive is well-suited for organizations with existing Hadoop infrastructure and expertise. On the other hand, Snowflake is a cloud-based data warehousing platform known for its elasticity, scalability, and ease of use. It offers a fully managed service, separating compute and storage, and allows users to run SQL queries on large datasets without the need for manual cluster management. Snowflake is a strong choice for businesses seeking a cloud-based data warehousing solution with a pay-as-you-go pricing model, while Apache Hive is suitable for organizations with specific Hadoop infrastructure and SQL query requirements.

See also: Top 10 Big Data platforms
Apache Hive 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.

Author: Michael Stromann
Michael is an expert in IT Service Management, IT Security and software development. With his extensive experience as a software developer and active involvement in multiple ERP implementation projects, Michael brings a wealth of practical knowledge to his writings. Having previously worked at SAP, he has honed his expertise and gained a deep understanding of software development and implementation processes. Currently, as a freelance developer, Michael continues to contribute to the IT community by sharing his insights through guest articles published on several IT portals. You can contact Michael by email stromann@liventerprise.com