Why Aggua Is Built as a Layer on Top of Snowflake?
Businesses today are facing an important challenge, they are gathering and storing large amounts of information from various sources and the volume of data is growing exponentially.
There was a time when establishing a data warehouse required the purchase and operation of costly, custom equipment and owning a data center to run it in. Today, businesses have tools like Snowflake and BigQuery to rely on. These data warehouses are capable of handling even the most intricate data analytics, reporting, or prediction use cases.
So, why Aggua? Snowflake is a wonderful database which offers a lot of functionalities to manage various kinds of data. But setting it up and the surrounding environment has been notoriously difficult for many clients. We realized that there had to be a way to make it easier for anyone to get started with Snowflake.
An Overview of Snowflake
Snowflake is a cloud-based, fully managed SaaS made for:
● Data warehousing
● Data lakes
● Data engineering
● Data science
● Data application development
● Secure and real-time data sharing and consumption
Since its inception in 2012, the platform has helped more than 5,000 businesses enhance their operations via large-scale data analysis, without the need for expensive infrastructure or specialized technical teams.
Components of the Snowflake Platform
Snowflake is made up of three major components that serve as the backbone for the company's cloud data platform:
Cloud Services
Snowflake’s cloud-based data warehouse can be used to optimize your data and infrastructure with ANSI SQL. It also helps handle security and encryption. Certifications like PCI DSS and HIPAA are also covered. Additionally, the service features include authentication, infrastructure management, query parsing and optimization, metadata management, and access control.
Query Processing
Snowflake's compute layer consists of cloud-based virtual data warehouses that facilitate analysis through requests. Workload concurrency is never an issue since each Snowflake virtual warehouse is a separate cluster that does not compete with or negatively impact the performance of the others.
Database Storage
Within Snowflake is a database management system that allows you to store both structured and semistructured data in a single place. This enables your organization to manage the whole storage procedure, from the storage's organization and structure to its metadata, file size, compression, and statistics.
What Are the Benefits of Using Snowflake?
Scalability
If you’re looking for a database that can handle all types of workloads, from interactive to batch, then Snowflake is the one for you. Snowflake can manage as many concurrent users and workloads as you throw at it thanks to a single elastic performance engine.
This single engine enables complicated data pipelines, analytics, and feature engineering, as well as interactive data applications. With SQL query capabilities and the Snowpark developer framework for Java and Scala, Snowflake makes using data effortless.
Automation
When it comes to data management, enterprises don't have time for manual data management and maintenance. If they want to move fast, they need automation. Snowflake automates data management, security, governance, availability, and resilience. This improves scalability, lowers costs, and decreases downtime. It's designed for uninterrupted uptime and includes automated data replication for quick recovery.
Eliminates Data Silos
Data silos are eliminated with the use of Snowflake's seamless cross-cloud and cross-region connectivity. It enables having a single source of truth for the whole organization. This means better collaboration and decision-making.
Third-party Data Integrations
The Snowflake Data Marketplace is a great way to connect with thousands of Snowflake customers, and empower your organization to expand workflows with data services and third-party applications.
Why Aggua is Built for Snowflake
The reason Aggua is perfect for Snowflake is that it was built with the power of Snowflake and BigQuery in mind. Additionally, we want to make sure that its users can access every feature it provides. Aggua is also working hard to make sure all the special Snowflake features are supported: Cognitive functions, records, parsing, UDFs (usually defined functions) and so on.
Snowflake is a great product, and we believe in it. We know that's where the future of technology is heading, so we built Aggua with Snowflake at its core. We also know that there are a lot of users out there who are technologically advanced and want to get the most out of their data.
We believe that every Snowflake user deserves to have a company that stands by their product and understands what it means to be a Snowflake user. We've built our entire architecture around it, and we know how important it is for companies to have the right tools in place so they can take advantage of all the different governance and quality features that Snowflake provides.