7 Reasons Snowflake is the Preferred Cloud Data Warehouse
Snowflake, the top cloud data warehouse, registered an amazing financial result for the first quarter of Fiscal 2023.
According to reports, Snowflake’s product revenue report for the quarter was at $422.4 million, representing 85% year-over-year growth. The company has 6,322 total customers and 206 customers with trailing 12-month product revenue greater than $1 million.
The snowflake data warehouse solution would benefit from the continued growth of the cloud computing market, which can reach $411 billion by 2023.
“During Q1, product revenue grew 84% year-on-year to $394 million dollars.
We closed the quarter with a record $181 million of non-GAAP adjusted free cash flow, pairing high growth with improving unit economics and operational efficiency. Snowflake’s strategic focus is to enable every single workload type that needs access to data,”
What are the advantages of using Snowflake Cloud Data Warehouse?
Snowflake is a true SaaS offering specifically since there are no hardware or software (virtual or physical) to select, install, configure, or manage. Here are the main reasons why organizations and businesses prefer Snowflake over its competitors.
- Architecture as the main differentiator: Snowflake architecture allows for easy scalability and elasticity, making it ideal for any size business. Snowflake decouples the storage and compute functions, which means organizations that have high storage demands but less need for CPU cycles, or vice versa, do not have to pay for an integrated bundle that requires them to pay for both.
- Performance and Speed: Snowflake is designed from the ground up to provide the best performance possible. From multiple virtual warehouses, automatic query optimisation and cluster tuning to micro-partitions; the whole Snowflake architecture allows faster query processing.
- Easy Data Sharing: The architecture allows seamless data sharing between consumers and providers. This is not limited to Snowflake users; you can share your data with even those who are not clients. Snowflake provides a complete solution to oversee any workload, including real time streaming data, batch processing, and ad hoc queries. It supports both structured data such as CSV, TSV, etc. and semi-structured data including JSON, XML, Parquet, Avro, ORC.
- Pricing: Snowflake offers on-demand pricing, meaning that you pay based on the amount of data you store and the compute hours/minutes you use. Unlike a traditional data warehouse, Snowflake also provides the flexibility to easily set-up an idle time, so you do not have to pay if the warehouse is inactive. It also offers a set of tools that allow users to easily build their own custom applications.
- Data Processing & Compatibility: With SQL as a single language used in Snowflake, users can do data blending, analysis, and transformations without needing to learn a new language to be able to leverage the service. For general users, Snowflake provides complete ANSI SQL language support for managing day-to-day operations. It is built on open standards and open-source technology, allowing customers to use the same code base across different platforms.
It is cloud agnostic, with unlimited, seamless scalability across Amazon Web Services (AWS) and Microsoft Azure and Google Cloud.
- Security and Encryption: By default, Snowflake encrypts all customer data at no additional cost. End-to-end encryption allows only a customer and the runtime components to read the data. While Client-side encryption means that the cloud storage only stores the encrypted version because a user encrypts stored data before loading it into Snowflake.
- High Demand for Cloud Services – The popularity of snowflake data warehouse is due to the high demand for big data analytics and the need to store and process large volumes of data. Also, owing to the rise of remote work culture, the demand for cloud services is booming.
Organizations such as Netflix, Coca-Cola, Amazon, Google, Microsoft, Twitter, and Uber utilize Snowflake. Snowflake has set an ambitious goal of reaching $10 billion in annual product revenue by fiscal 2029. If this happens, it could potentially generate nearly $20 billion in annual revenue by fiscal 2031.
What users have to say about Snowflake
“As a cloud-agnostic solution, you don’t need to worry about system failures or delay due to high queries competing with Snowflake. Queries from one virtual warehouse won’t affect others thanks to the multi-cluster architecture. – Shiv Pawan Kumar, Data Architect
“Snowflake is a fully automated platform that supports sophisticated features such as warehouse auto-scaling, big data workload and data sharing. Snowflake helps decrease the workload as there is no purpose to monitor the data consumption through data discovery tools.” – Balagopal R, Software Engineer