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On November 20, Snowflake announced it has signed a definitive agreement to acquire Datavolo. With this acquisition, Snowflake will deepen its service in the “bronze layer” of the data lifecycle and will deliver a simple way for data engineering teams to integrate all of their enterprise systems with Snowflake’s unified platform, where they can then unlock data for AI and ML, apps and analytics, and leverage the scale, performance, and built-in governance of the AI Data Cloud. Together, Datavolo and Snowflake will both simplify data engineering workloads and deliver unmatched data interoperability and extensibility – a building block for effective enterprise AI, according to the companies.
“Simplicity and time-to-value are core to Snowflake’s ethos. By bringing Datavolo into the Snowflake fold, we are expanding how much of the data lifecycle Snowflake captures – unlocking both simplicity and cost savings for our customers, without any sacrifice to data extensibility,” said Sridhar Ramaswamy, CEO of Snowflake. “We are excited to have the Datavolo team join Snowflake as we accelerate what is the best platform for enterprise data – unstructured and structured, batch and streaming – and dedicated to the success of the open source community.”
Powered by Apache NiFi, a project for secure data processing and distribution originally open sourced by the National Security Agency (NSA) and now used by more than 10,000 enterprises, Datavolo provides a single platform for automating and managing both structured and unstructured data flows between various enterprise data sources. Once fully integrated into the Snowflake platform, Datavolo will form the basis of Snowflake’s open and extensible connectivity platform for structured and unstructured data, allowing Snowflake to further its offering at the “bronze layer” for data engineering workloads. Users will be able to replace the complexity and maintenance burden of single-use, point-to-point connectors with fast, flexible, reusable pipelines that allow customers to more seamlessly move unstructured and structured data from cloud and on-premise sources to Snowflake’s AI Data Cloud. The fully managed connectivity layer can be seamlessly deployed inside Snowflake Virtual Private Cloud (VPC) and in customers’ own VPC through a Bring Your Own Cloud model.
“Data engineering at scale can be incredibly costly and complex, and our aim has always been to simplify experiences for our customers so they can achieve value faster,” said Joe Witt, Co-founder and CEO of Datavolo and co-creator of Apache NiFi. “By joining forces with Snowflake, we can empower our customers with the immense scale and radical simplicity of Snowflake’s platform, ultimately unlocking data engineering for more users.”
With its wide use across federal organizations, Snowflake’s acquisition of Datavolo also aims to accelerate Snowflake’s business in the public sector. Snowflake plans to continue to maintain & nurture the Apache NiFi project with the close of the acquisition, deepening its support of open standards and empowering both Snowflake customers and the NiFi community with full interoperability, regardless of where their data resides. NiFi users can benefit not only from Snowflake’s easy, efficient, and trusted data foundation for AI, but also from the unified security and governance of Snowflake’s fully managed platform.
Source: Snowflake
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