Snowflake is a cloud-hosted relational database designed for building data warehouses. It is based on the major cloud services such as AWS, GCP and Azure and combines the functionalities of traditional databases with a set of new and creative capabilities. It is unique in the way it addresses the changing needs of companies. Snowflake is a fully software-as-a-service (SaaS) platform, meaning that it manages all hardware maintenance and performance adjustment activities, providing users with a seamless experience.
On the other hand, MongoDB is a non-SQL database with a document-oriented data model and uses key-value pairs to store data without the need for schemas. Hevo Data, a no-code data pipeline, helps load data from any data source, such as databases, SaaS applications, cloud storage, SDK and streaming services, and simplifies the ETL process.When it comes to making decisions about databases and data analysis, there is often a debate between SQL and NoSQL. The choice of a database depends solely on business requirements and other factors, such as the structure of the organization, financial models, types of business, etc. Snowflake's automatic maintenance and database administration mean enormous savings compared to these products.
Snowflake does not require any management by the end user, in sharp contrast to traditional database systems. This means that all communications between users and the database are encrypted and there is access control auditing on everything from data objects to actions within the database itself.MongoDB is a NoSQL database and has a document-oriented data model that stores the data in the document with a key-value pair and uses the NoSQL query language to query the data. In the Snowflake environment, you can load new data throughout the day as the queries are executed, meaning that there is no need to close database operations to load batches overnight. However, MongoDB seems to save a lot of time in the initial definition of the database, while the well-defined and structured Snowflake database offers reliable performance in some cases.In MongoDB, you can combine and store any type of data without disrupting your existing schema, framework, and other applications.
When it comes to the field of database management, choosing MongoDB over Snowflake is relatively difficult. The exponential growth of semi-structured data derived from IoT, the web and mobile devices is driving the need for data formats that can support flexible database schemes (JSON, Parquet, XML, Avro and ORC) to move and store that data. Since SQL databases work with highly structured data, companies must adapt to the growing volume of unstructured and semi-structured data.All in all, when it comes to choosing between Snowflake or MongoDB for your company's needs it really depends on your business requirements. Snowflake offers automatic maintenance and database administration which can save you time and money while MongoDB allows you to combine any type of data without disrupting your existing schema or framework.