NEW YORK, Jan. 14, 2021 /PRNewswire/ -- Snowflake
Computing (NYSE: SNOW), the leading cloud data warehouse company,
and Saturn Cloud, the leader in lightning-fast data science, have
announced a strategic alliance and integration of products to usher
in the highest-speed tooling for data science and machine learning
teams.
Joint customers of the companies choose the solution because of
the ease-of-use of Python and to achieve 100x faster performance
over serial Python and Apache Spark.
Recently, Saturn Cloud published a random forest benchmark that
achieved 2000x faster runtime over traditional tooling. Since
launching in 2020, Saturn Cloud has seen over 200,000 hours of
compute.
In September 2020, Snowflake made
a historic IPO on the NYSE, becoming the largest software IPO of
all time. Analysts anticipated it to be the largest public offering
of the year, with the stock price doubling since IPO.
How the integration works: Snowflake publishes native python
drivers, the snowflake-connector-python, as an interface to connect
Python applications to their data warehouse. Saturn Cloud makes it
easy to accelerate these Python applications with Dask and RAPIDS
for multi-node multi-GPU computing. Therefore, pairing Snowflake
with Saturn Cloud provides the best of both worlds: Snowflake
optimizes sql-like operations, and Saturn Cloud scales Python-based
workloads like machine learning.
As a result, loading Snowflake data into Dask is easy with
Saturn Cloud. Once a user has provisioned a JupyterLab instance and
Dask cluster in Saturn Cloud's UI, it's just a few lines of code to
get started. Read about this here.
"We are excited to be working closely with Snowflake to
commercialize our joint offering. Data science is one of the
fastest-growing multi-billion markets in the world, with businesses
increasingly relying on data to make strategic decisions," says M.
Sebastian Metti, one of the Saturn
Cloud founders.
"We're seeing fast adoption of Dask at the largest
organizations in the world and we're excited to extend Snowflake's
Data Science capabilities by partnering with Saturn Cloud. Saturn
Cloud's service allows Data Scientists to use Python for the entire
machine learning process, reducing complexity, offering excellent
scalability, and incredible speed provided by GPUs. We're excited
to be able to offer our customers Dask as a compelling alternative
to Spark for Machine Learning," says Tarik
Dwiek, Director of Technology Alliances at Snowflake.
To learn more about Saturn Cloud, please visit
www.saturncloud.io. For more about Snowflake, please visit
www.snowflake.com.
About Saturn Cloud
Saturn Cloud is a data science and machine learning platform in
Python for lightning-fast analytics. Users have enterprise-grade
security, end-to-end collaboration capabilities, usage-based
billing, and easy setup. Saturn Cloud is available on Amazon Web
Services as well as in its own hosted platform. Learn more
here.
About Snowflake Computing
Snowflake delivers the Data Cloud—a global network where thousands
of organizations mobilize data with near-unlimited scale,
concurrency, and performance. Inside the Data Cloud, organizations
unite their siloed data, easily discover and securely share
governed data, and execute diverse analytic workloads. Wherever
data or users live, Snowflake delivers a single and seamless
experience across multiple public clouds. Snowflake's platform is
the engine powering solutions for data warehousing, data lakes,
data engineering, data science, data application development, and
data sharing. Learn more here.
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SOURCE Saturn Cloud