What is Snowflake?
Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.
Snowflake is a tool in the Big Data as a Service category of a tech stack.
Who uses Snowflake?
85 companies reportedly use Snowflake in their tech stacks, including Instacart, Square, and Deliveroo.
375 developers on StackShare have stated that they use Snowflake.
Python, Node.js, Apache Spark, Looker, and Redash are some of the popular tools that integrate with Snowflake. Here's a list of all 37 tools that integrate with Snowflake.
Pros of Snowflake
Public and Private Data Sharing
Decisions about Snowflake
Here are some stack decisions, common use cases and reviews by companies and developers who chose Snowflake in their tech stack.
- Which is the best option for data change management between the organization's DB and Snowflake warehouse?
- Best option to use within the snowflake warehouse?
Jul 2 2019 at 9:34PM
Jobs that mention Snowflake as a desired skillset
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San Francisco, CA
Snowflake Alternatives & Comparisons
What are some alternatives to Snowflake?
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The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
Databricks Unified Analytics Platform, from the original creators of Apache Spark™, unifies data science and engineering across the Machine Learning lifecycle from data preparation to experimentation and deployment of ML applications.
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.