We help you build a low-maintenance, cost-effective, and shared environment to consolidate all your data silos into a single source of truth. Let our Snowflake solution architects modernize your data storage to cut back on analytics costs.
Our data engineers create a single repository for all your raw data in native format and set up an integrated pipeline that runs analytics to uncover fresh insights. Support real-time decision analytics without putting effort into data management.
Build an open and integrated ecosystem with optimized performance, low processing costs, and serverless management. Support powerful pipelines, AI workloads, and analytics with a single Big data engineering solution built on Snowflake.
Our client was looking to eliminate silos and unlock new data flows for granular customer insights and targeted marketing efforts.
Our engineers transformed existing assets into a standardized digital estate and delivered a tailored CDP system based on Azure and ML analytics. The result is a unified customer view across multiple touch points within one cloud solution.
An FMCG company needed a smart analytics solution to glean insights from email and audio customer feedback across multiple channels.
We set up an ongoing analytics pipeline based on the AWS architecture and integrated it with ML workflows. The result is an intelligent analytics environment that extracts complex insights from audio and text input.
Our team onboarded the project to transform existing disparate flows into a unified analytics solution to look into the chemical composition of mixtures and the sales trends.
Our engineers transformed the unstructured data stack with Azure, built a custom analytics solution, and set up real-time streaming in Power BI for better reporting.
Snowflake cloud technology is a unique cloud-based data warehousing service that offers a great number of advantages over other similar services. One of its key benefits is its scalability. Snowflake is designed to easily scale up or down as needed, which gives it a big advantage over fixed-capacity data warehouses.
Another benefit of Snowflake is its performance. Snowflake uses a columnar data storage format, which is optimized for analytics workloads. This results in much faster query times compared to traditional row-based data warehouses.
Lastly, Snowflake database administration is very easy. It has a simple interface that makes it easy to get started, and it offers a set of automated features that facilitate data management. Overall, it is a great option for anyone looking for a cloud-based data warehouse solution.
Yes, Snowflake software can be rapidly deployed on AWS and offers its infrastructure for AWS users as an official AWS partner. Overall, this cloud-based data warehouse service is available on various platforms, including AWS, Azure, and Google Cloud Platform.
Snowflake data management platform cannot be run on private cloud infrastructures, be it on-premise or hosted environments. As it is not a packaged software offering it cannot be installed on on-premise infrastructures.
Snowflake is a cloud data platform that offers a managed service for data warehousing, lakes, and engineering. Unlike other platforms, Snowflake does not require any proprietary hardware or software, making it a fully managed service. As a result, Snowflake can offer customers a simpler, more cost-effective solution for their data needs. This also means that you do not need to worry about managing the underlying infrastructure or scaling the service to meet your needs as Snowflake takes over the heavy lifting.
It is a unique platform that allows you to tap into the combination of both. While it is usually classified as a data warehouse, it has many features that give it the flexibility of a data lake, including:
Therefore, you can use this platform as a hybrid between the two, which is the main differentiator of Snowflake.
Snowflake is one of the go-to options for data management as it offers a highly scalable warehouse as-a-service. It means that you can focus on analyzing the assets rather than spending time managing and right-sizing. It also supports multi-cloud infrastructure environments such as Amazon, Microsoft, and GCP, which helps you integrate all assets under one roof.