Press Room

Top 10 Reasons You Should Consider Snowflake as Your Data Storage Solution


March 2022

Why is Snowflake the favorite in cloud data storage?

Snowflake, being built specifically for the data cloud, provides unlimited data storage, delivered as a SaaS service and across all three major cloud providers: AWS, Azure, and Google.

What are the main reasons why it is different?

1. Multi-cluster architecture

Snowflake’s architecture consists of three main layers:

Storage

The innate elasticity of cloud storage means that data can be stored, encrypted, and compressed independently.

Prosecution

Also called “Virtual Stores”, these can simultaneously load data and run queries.

Services

This layer ties together the different components of Snowflake and performs the functions requested by the user. The cloud service layer runs on Snowflake compute instances.

These three layers are designed to be independently scalable as they are fully decoupled. In other words, users can scale or allocate resources to independent layers based on demand, and then return to the initial situation once that demand has been met. This level of independent “infinite” elasticity and can be done hot without having to stop the service, is what characterizes Snowflake and makes it different from other solutions.

2. Storage in the 3 main clouds

Unlike other data storage solutions, Snowflake is exclusively compatible with Amazon Web Services, Microsoft Azure, and Google Cloud Platform. This gives IT professionals maximum flexibility within their organizations to implement the cloud platform that works best for them. More importantly, Snowflake offers seamless scalability across all three platforms and is fully agnostic, meaning no matter what cloud you’re on your user experience doesn’t change, it’s going to be similar.

4.TimeTravel

You can perform back-to-back queries, which is useful for troubleshooting data loading problems and recovering accidentally dropped tables or data.

It’s like having an “Undo” button for your database at any time!

You can store up to 90 days of historical data changes. The amount of time you store affects your storage costs, so if you have tables that are constantly changing, you may not want to retain data for as long.

5. Data Encryption

Snowflake stores all data automatically encrypted using strong end-to-end AES 256 encryption as a method of protecting data from being read by third parties whether or not it is at rest. It is a good mechanism to minimize attacks and thus be sure that your data is protected at all times.

6. Compression

When data is loaded into Snowflake, Snowflake reorganizes that data into its internally optimized, compressed, columnar format.

Columns are individually compressed into micropartitions and this is automatically determined by compression mechanisms in a very efficient way.

The compression ratio can vary between 3:1 to 10:1, and the storage costs are calculated based on the compressed data, so savings are guaranteed.

7. Integrated Security

Security was built into Snowflake Cloud Data from the get-go. It has many security features that are at the core of Snowflake, allowing you to focus on analyzing your data, not protecting it.

Security is guaranteed at all levels: Access (communications), authentication (users), applications (role-based), encryption, infrastructure and in compliance with the most demanding government operational controls (NIST 800-53, SOC2, HIPAA, PCI , FedRAMP, …).

8. Semi-structured data loading

Like many modern data lakes, Snowflake offers the ability to extract semi-structured data into database tables. Some examples that benefit from this capability include data with constantly changing or inconsistent schemas. Snowflake allows you to extract this data into a VARIANT column, and then provides SQL-level extensions to cleanly and efficiently query that data in structured views. The data types that can be loaded natively are Json, avro, and parquet.

9. SaaS with minimized administration

Snowflake requires no hardware or software configuration, so you can simply upload, share and query data right out of the box. Unlike traditional databases, with the Snowflake service there is no need to manage updates, partitions, indexes, backups and other administration tasks.

Plus, it’s true pay-per-use: storage based on consumption on the one hand, and compute costs on the other, allowing you to adjust the total cost of the service to the second.

10. ANSI-SQL

It is an ANSI-SQL data platform as a SQL standard language that is accessible to all commercial relational database management systems (DBMS). In line with this characteristic, it should be noted that:

  • It supports Javascript UDFs and UDAFs in a simple way.
  • You can optimize the execution plan of a query through its interface.
  • You can review the history of each executed query up to 14 days after its execution.

Conclution

These main features along with its high versatility and simplicity of nature make Snowflake a great value proposition, while helping to differentiate it from other solutions.

Snowflake offers flexibility and scalability to all of its customers, from large organizations looking for effective scalability to smaller startups that have restricted budgets but can’t compromise on quality cloud data storage capabilities.

And if you’re reviewing options for an analytics database, Snowflake is worth a look as it could be your answer to the strong data architecture foundation required for successful analytics.

Therefore, we can say that Snowflake is a solution for everyone and for all types of analytics.