Snowflake empowers enterprises through a built-in Data Exchange facility where structured and semi-structured data can be shared ubiquitously with a high level of security. It enables quick scalability and accessibility without any compromise on security or performance.
With an integrated columnar structure, Snowflake takes lesser time and memory for data retrieval, while simultaneously removing duplicate data. Snowflake abstracts the pain points of performance tuning- in addition, it eliminates the need to engineer star-schemas and data processing tasks- meaning you can migrate your raw data without any schema changes.
Snowflake’s baked-in query cache attribute helps run the same query without any cost overhead, provided there are no changes in the data. Incorporating new-gen SQL functions enables querying cache data in json and modern formats structures. Besides, it comprehensively reduces the headache of data backups, data loss, and data storage, freeing up enterprises to focus on core business competencies.
Coming to migration and replication, Snowflake provides several options; alternatively, in case, you need continual synchronization of your real-time data to the Data warehouse, you can opt for the enterprise-level Fivetran tool. In Fivetran, you can setup fully-managed data pipelines in a few minutes with best-in-breed security on AWS and Azure platforms. Fivetran has agile automated data connectors, which respond to schema-based alterations and enable roll-outs of measurable insights in quick time.