Market Overview

Databricks and Snowflake Announce Strategic Partnership

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Customers get integrated unified analytics platform and cloud data
warehouse solution

Databricks,
the leader in unified analytics and founded by the original creators of
Apache Spark™, and Snowflake
Computing
, the data warehouse built for the cloud, today announced
their strategic partnership and the integration of their products, which
have already benefited joint customers.

Only one in three artificial intelligence projects are successful today
because enterprises are struggling with data-related problems like silos
and inconsistent data sets1. To address these challenges, Databricks
and Snowflake
have teamed up to accelerate innovation and streamline integration for
customers doing big data analytics and machine learning. The cloud
technology providers have developed a connector between Databricks'
Unified Analytics Platform and Snowflake's cloud-built data warehouse.

Today, data-driven enterprises leverage integrated solutions from both
technology vendors. Databricks' Unified Analytics Platform is an
end-to-end analytics platform that unifies big data and AI. Snowflake's
cloud-built data warehouse delivers the instant elasticity, secure data
sharing and per-second pricing across multiple clouds for modern data
analytics.

With an integrated solution, Databricks and Snowflake enable
organizations to seamlessly leverage massive volumes of historical data
with dynamic streaming data to drive powerful machine learning insights.
This integration liberates organizations bogged down from the costs,
limitations and maintenance of on-premise data analytics solutions.
Databricks and Snowflake currently have joint customers, including
Overstock.com, ShopRunner, Handshake, Hotel Tonight, and Rue Gilt Groupe.

Online flash clothing retailer Rue Gilt Groupe serves its customers with
much more targeted offers based on the deeper insights it uncovers with
Databricks and Snowflake. "Flash sales mean over 100,000 products change
on the site every day, challenging even sophisticated recommendation
engines. The success of our customer experience depends on our ability
to make quick and accurate decisions based on data," Rue Gilt Groupe's
Architect, Dr. Stephen Harrison, said. "In a seamless process we use
Databricks to load all data science input data from Snowflake, our only
data warehouse running at massive scale. We're able to run myriad
machine learning jobs a day against all of our data, fully leveraging
the tight Databricks and Snowflake integration. This lets us easily
experiment and tune algorithms for our ever changing inventory. All this
power is effectively operationalized and so is at the very center of our
customer experience."

"We're seeing an increasing need for enterprises to analyze large data
sets, and to enable optimized use of Spark to clean and transform that
data for machine learning and AI," Snowflake's Vice President of
Alliances, Walter Aldana said. "Our partnership with Databricks makes it
even easier to access and process large volumes of data and use dynamic
streaming to drive powerful machine learning insights."

Databricks Senior Vice President of Business Development, Michael Hoff
said: "Enterprises struggle with integrating and scaling legacy
analytics systems for rapidly growing data sources. Databricks and
Snowflake are two innovative, fast-growing, cloud-based companies that
are giving data-driven enterprises the best tools as they migrate off of
legacy systems. Together we're enabling companies to accelerate the time
from data aggregation and analysis to actionable business intelligence."

According to Matt Oslund, Senior Manager of Alliances at Clarity
Insights, a big data solutions and data science consulting firm, "We
work with enterprises that are striving to be insight driven. With
Databricks and Snowflake, we are able to offer our customers best of
breed capabilities that will enable them to quickly make data-driven
business decisions. We are enthusiastic about how our customers will be
able to accelerate innovation by bringing their data and AI systems
together."

For more information about the Databricks and Snowflake partnership,
visit www.databricks.com/snowflake.

Additional Resources

About Databricks

Databricks' mission is to accelerate innovation for its customers by
unifying Data Science, Engineering and Business. Databricks' founders
started the Spark research project at UC Berkeley that later became
Apache Spark. Databricks provides a Unified Analytics Platform powered
by Apache Spark for data science teams to collaborate with data
engineering and lines of business to build data products. Users achieve
faster time-to-value with Databricks by creating analytic workflows that
go from ETL and interactive exploration to production. The company also
makes it easier for its users to focus on their data by providing a
fully managed, scalable, and secure cloud infrastructure that reduces
operational complexity and total cost of ownership. Databricks,
venture-backed by Andreessen Horowitz, NEA and Battery Ventures, among
others, has a global customer base that includes Viacom, Shell and HP.
For more information, visit www.databricks.com.

Apache, Apache Spark and Spark are trademarks of the Apache
Software Foundation
.

About Snowflake Computing

Snowflake is the only data warehouse built for the cloud, enabling the
data-driven enterprise with instant elasticity, secure data sharing and
per-second pricing, across multiple clouds. Snowflake combines the power
of data warehousing, the flexibility of big data platforms and the
elasticity of the cloud at a fraction of the cost of traditional
solutions. Snowflake: Your data, no limits. Find out more at
snowflake.net.

1 Commissioned survey by Databricks through IDG's CIO
Research Services, "Conquer
the AI Dilemma by Unifying Data Science and Engineering
"

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