Snowflake enables data storage, processing and analysis solutions that are faster, easier to use and much more flexible than traditional offerings. The Snowflake data platform is not based on any existing database technology or on any “big data” software platform, such as Hadoop. Snowflake is one of the few enterprise-ready cloud data stores that provides simplicity without sacrificing functions. It automatically expands, both up and down, to achieve the right balance between performance and Snowflake's reputation for separating computing from storage.
This is important because almost all other databases, including Redshift, combine both, meaning you must scale your biggest workload and incur the costs involved. Snowflake promises to be a self-managing data warehouse that will allow you to quickly obtain information in a matter of weeks, rather than years. Instead of creating several clusters for each environment, you can create a test environment as needed, point it to Snowflake storage, and run the tests before moving the code to production. SnapLogic's intelligent integration platform provides Snaps to easily connect multiple data sources (including Teradata, Oracle, MySQL) and applications (including Salesforce, Workday and Twitter) to Snowflake without the need for programming.
In the video Reinvent the Data Warehouse, the Snowflake team explains why their solution is faster and cheaper. Also known as a storage layer, it is a layer in which Snowflake stores all data in the form of hybrid columnar storage. Or maybe you just want to learn more about Snowflake, because you've heard a lot of good things about it. One of the most popular data platforms is Snowflake, which functions as a cloud data warehouse and is renowned for its ability to support multi-cloud infrastructure environments.
SnapLogic now offers ten pre-designed “Snaps” that connect various data sources and analysis tools to Snowflake's cloud data storage solution. Don't hesitate to contact us if you need help setting up your trial version of Snowflake. If you work with external suppliers, partners or customers, you can share your data, even if the recipient is not a Snowflake customer. Snowflake includes ready-to-use features such as the separation of storage and computing, scalable on-the-fly computing, data sharing, data cloning, and the support of third-party tools to meet the demanding needs of growing businesses.
Data integration with Snowflake includes Snaps for loading, updating and downloading in bulk, in addition to standard CRUD functionality (create, read, update and delete). Snowflake was designed to take advantage of the opportunities of mass data storage in the cloud and is based on Amazon S3.For example, if you need near-real-time data loads for complex transformations, but you have relatively few complex queries in your reports, you can create a script for loading data into a huge Snowflake warehouse and reduce it again after completion, all in real time.