Striim, provider of an enterprise-grade
platform for
streaming data integration, today announced a strategic
partnership with
Snowflake, Inc., the
data warehouse built for the cloud, to simplify
and speed loading of real-time data to Snowflake, accelerating data-driven
analytics in the cloud.
Striim's real-time data integration capabilities provide Snowflake customers
running in Microsoft Azure or AWS the benefit of a phased migration
to Snowflake from existing on-premises or cloud-based data warehouses, databases,
and other data sources. One such customer, Attentia, is using Striim and
Snowflake on Azure to deliver real-time data, advanced analytics, and
streamlined operations.
Joint customers such as Attentia benefit from the speed, scalability, and
cost-effectiveness of Snowflake's zero-management, cloud-built data warehouse.
With Snowflake, analytics that used to take hours, or even days, can be
delivered in minutes, and the data warehouse can scale up and down on-the-fly,
without delay or disruption. Snowflake's cloud-built architecture delivers
a level of flexibility and efficiency that simply isn't possible with a
traditional data warehouse, or with a big data platform that has been shifted
to the cloud.
"We are delighted to partner with Striim for their streaming ETL
capabilities. With Striim, Snowflake customers can ingest a wide range of
real-time data in a consumable format to feed rich
analytics," Snowflake's Vice President of Alliances, Walter Aldana
said. "Striim's built-in scalability, security, and
reliability bridges the adoption of Snowflake for time-sensitive,
operational decision making."
For continuous data loading to Snowflake, Striim powers ingestion of
real-time data from major enterprise databases using low-impact change data
capture (CDC). As an enterprise-grade platform, Striim supports extremely large
data volumes with built-in security and reliability. In addition, Striim's
in-flight processing, denormalization, and transformations further help
Snowflake customers speed time-to-analysis by feeding data continuously to
Snowflake in the right format.
"Striim and Snowflake share a mission to enable every organization to
be data-driven. However, to be data-driven, companies must first gain access to
the data by building the real-time data pipelines that can continuously feed
their analytics and reporting," said Alok Pareek, co-founder and EVP of
Products at Striim. "By making it easy to build streaming data pipelines
to load real-time data to Snowflake, Snowflake customers can more quickly enable
their modern data management, data warehousing, and data analytics initiatives.
We are thrilled to be a strategic partner with Snowflake in this effort."
Attentia, an innovative company in Belgium offering HR and Well-being
solutions, was looking for a zero-maintenance solution to enable streaming data
integration that is both near-real-time and scalable, and also provides a
secure data warehouse including analytical capabilities.
"By streaming enterprise data to Snowflake with built-in scalability, security,
and reliability, Striim and Snowflake gave us the right answer to our
challenge," said Davy Vande Cappelle, head of architecture at Attentia.
"To make our implementation even easier, the pay-per-use model allowed us
to do this in the most affordable way."
Striim makes it easy to load data to Snowflake
from data warehouses (including Oracle Exadata, Teradata, Amazon Redshift,
Netezza), databases (including Oracle, SQL Server, HPE NonStop, MongoDB, Amazon
RDS, PostgreSQL, MySQL), log files from security devices and other systems,
sensors, messaging systems, and Hadoop solutions. For more information on the
combined Snowflake-Striim solution, please visit
www.striim.com/snowflake.