SAN FRANCISCO, Jan. 16, 2019 (GLOBE NEWSWIRE) -- StreamSets®, provider of the industry’s first DataOps platform for modern data integration, announced today a technology partnership agreement with Snowflake, the data warehouse built for the cloud. In conjunction with the partnership, StreamSets also unveiled StreamSets for Snowflake. Now, StreamSets customers can easily create at-scale data pipelines for batch and streaming data from edge, on-premises and cloud systems directly into Snowflake, while automatically mitigating impact of data drift and ensuring data availability, quality and protection through continuous monitoring and Data SLAs.
Snowflake’s enterprise data warehouse is designed to easily amass all data, enabling rapid analytics that quickly make data insights available to all users, consumers and systems that need them. Snowflake customers enjoy benefits such as instant elasticity, secure data sharing and per-second pricing across multiple clouds for data analytics.
StreamSets for Snowflake greatly simplifies development of any-to-any pipelines that include Snowflake while affording continuous visibility and control over pipeline performance to ensure data availability, integrity and protection. Enterprises can use StreamSets for Snowflake to continuously flow data in real-time from relational databases, data lakes, search stores, logs, APIs and numerous other sources into Snowflake for use cases such as bulk upload/database migration, change data capture (CDC) and streaming data ingest across a hybrid multi-cloud architecture.
“As the only data warehouse built for the cloud, Snowflake brings a compelling combination of performance, scalability and simplicity to the enterprise. A data warehouse must integrate with enterprise data sources and other data platforms to form a cohesive architecture that best serves the business,” said Jobi George, vice president of business development and strategic alliances at StreamSets. “StreamSets for Snowflake helps enterprises extend their architecture to Snowflake with efficiency, performance and resilience in the face of change. Through our new partnership we look forward to extending the benefits of DataOps to Snowflake customers.”
StreamSets for Snowflake includes the following capabilities:
It also includes these additional DataOps features:
“Our customers are continuously looking to add big data and streaming sources to the datasets in their cloud platforms,” said Walter Aldana, vice president of alliances at Snowflake. “Our partnership with StreamSets and their new StreamSets for Snowflake integration gives enterprises an efficient and reliable way to deliver all of their data, traditional or modern, into Snowflake and maximize the potential for analytic insights.”
Red Pill Analytics, an analytics services company, relies on StreamSets and Snowflake to deliver the best elements of the cloud for agile development-as-a-service and continuous delivery to its customers.
“We are excited for both StreamSets and Snowflake, who together enable our customers’ big data modernization projects,” said Stewart Bryson, CEO of Red Pill Analytics. “StreamSets’ intelligent data pipelines, now integrated with Snowflake’s unique architecture, mean our customers can accelerate insights delivery from the premier cloud-built data warehouse.”
StreamSets for Snowflake is available immediately in StreamSets DataOps Platform version 3.7 and is included as part of a StreamSets Standard or Enterprise subscription.
DataOps is the application of DevOps practices to data management and integration to reduce the cycle time of data analytics, with a focus on automation, collaboration and monitoring. DataOps is essential for a data landscape marked by architectural complexity with accelerating change. DataOps is characterized by the following core capabilities:
StreamSets built the industry’s first multi-cloud DataOps platform for modern data integration, helping enterprises to continuously flow big, streaming and traditional data to their data scientists and data-intensive applications. It uniquely handles data drift, those frequent and unexpected changes to data that break pipelines and damage data integrity. The platform combines the open source StreamSets Data Collector™ for execution of any-to-any pipelines (the data plane) with a cloud-native StreamSets Control Hub™ for the design, monitoring and performance management of multi-pipeline topologies (the control plane). Founded in 2014 by Girish Pancha, former chief product officer of Informatica, and Arvind Prabhakar, a former engineering leader at Informatica and Cloudera, StreamSets is backed by top-tier Silicon Valley venture capital firms, including Battery Ventures, New Enterprise Associates (NEA), and Accel Partners. For more information, visit www.streamsets.com.