Sigma Computing is launching a better way explore and understand data stored in cloud data warehouses, providing access to Snowflake, Google BigQuery, Amazon Redshift and other cloud data warehouses.
Despite billions of dollars invested in data analytics tools in recent years, two-thirds of people still use Microsoft Excel to manipulate data. Sigma aims to change that with a better cloud analytics solution.
Through this integration with a variety of data warehouses, Sigma provides features that are:
- Built for the Cloud - Sigma takes advantage of the instant and infinite scale of modern cloud data warehouses. This helps people get fast answers to the most difficult questions. And Sigma runs 100% in your browser and connects directly to the cloud warehouse, where the data is secure, managed, and fresh.
- Freedom to Explore - Sigma’s familiar spreadsheet-like interface helps business experts solve problems without technical help—enabling them to explore their data conversationally, discovering answers to their questions and diving into new questions as they arise. Teams can be up and running in minutes and quickly access data from multiple data sources, shape the data in a visual interface, and apply formulas, all while the application creates the SQL necessary in real-time.
- Analytical Depth - Almost all business questions require complex SQL, which can be a nightmare to write by hand. With Sigma, users gain access to 99% of SQL functionality and the flexibility to conduct deep analysis across large diverse datasets, including semi-structured data like JSON. Sigma’s interface builds queries faster and more reliably than any human and provides immediate visual results without technical SQL skills.
- Team Empowerment - Sigma closes the gap between data professionals and business experts—which means more people leveraging data to make better decisions. It enables data teams to focus on analytical deep dives and strategic initiatives escaping the endless report feedback loop. Business experts make their own discoveries or start from shared worksheets and models built by others. By opening up access, and inviting more participation, teams become more data-guided and collaborative.
"The market opportunities I witnessed first with Pure Storage, and then with Snowflake, are just as evident with Sigma,” said Mike Speiser, founding CEO of Pure Storage and Snowflake. “Sigma is not just another BI tool. Their approach, going all in on the cloud data warehouse, coupled with a focus on an approachable interface for all business users, is working big time.”
For more information about this news, visit: https://sigmacomputing.com.