Sigma Computing announced a better
way for people to explore and understand data stored in cloud data warehouses.
Sigma provides live, interactive access to Snowflake, Google BigQuery, Amazon
Redshift and other cloud data warehouses with a spreadsheet-like visual
interface. Business experts analyze data
directly-without SQL or BI tool expertise-performing even the most complex
queries.
"Business intelligence vendors say they give data analytics access
to everyone, and what they really do is provide a dashboard view. Dashboards do
not equal data or intelligence," said Rob Woollen, CEO and co-founder of Sigma
Computing. "Our customers tell us that Sigma turns everyone in an organization
into a data user -- resulting in better and faster business decisions."
Everyone Speaks Sigma
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. It puts the power of the data warehouse in the hands of
business experts, enabling them to take control of their data. This is achieved
with four primary tenets:
- 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.
"Sigma is like working in Excel with the power of
Snowflake-giving our business experts at Lime access to the compute power of
the cloud but with the freedom they'd get from a spreadsheet," says Aash Anand
from Lime's data team. "Sigma opens up the true value of our data, and leveled
up the conversation from, ‘Where can I find this?' to, ‘Can you
review this with me?' It really is next-generation BI for cloud data."
Sigma was founded by Rob Woollen and Jason Frantz
while Entrepreneurs in Residence at Sutter Hill Ventures. While advising on
Snowflake, another Sutter Hill investment, and working with Mike Speiser, the
managing director at the firm, the group recognized that Snowflake was
transforming the data warehouse space and knew business intelligence technology
had to evolve with it.
"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."
The
Sigma analytics solution is available immediately.