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Snowflake Agrees to Acquire Open Data Integration Platform, Datavolo

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Snowflake (NYSE: SNOW) has announced its agreement to acquire Datavolo, a platform specializing in multimodal data pipeline management. The acquisition aims to enhance Snowflake's capabilities in the 'bronze layer' of data lifecycle and simplify data engineering workloads. Datavolo, powered by Apache NiFi technology used by over 10,000 enterprises, will be integrated into Snowflake's platform to provide a unified connectivity solution for structured and unstructured data. The integration will enable customers to replace complex point-to-point connectors with flexible, reusable pipelines in Snowflake's AI Data Cloud.

Snowflake (NYSE: SNOW) ha annunciato di aver raggiunto un accordo per acquisire Datavolo, una piattaforma specializzata nella gestione di pipeline dati multimodali. L'acquisizione mira a potenziare le capacità di Snowflake nel 'livello bronzeo' del ciclo di vita dei dati e a semplificare i carichi di lavoro dell'ingegneria dei dati. Datavolo, alimentata dalla tecnologia Apache NiFi utilizzata da oltre 10.000 aziende, sarà integrata nella piattaforma di Snowflake per fornire una soluzione di connettività unificata per dati strutturati e non strutturati. L'integrazione consentirà ai clienti di sostituire complessi connettori punto a punto con pipeline flessibili e riutilizzabili nel Data Cloud AI di Snowflake.

Snowflake (NYSE: SNOW) ha anunciado su acuerdo para adquirir Datavolo, una plataforma especializada en la gestión de pipeline de datos multimodales. La adquisición tiene como objetivo mejorar las capacidades de Snowflake en la 'capa bronce' del ciclo de vida de los datos y simplificar las cargas de trabajo de ingeniería de datos. Datavolo, impulsada por la tecnología Apache NiFi utilizada por más de 10,000 empresas, se integrará en la plataforma de Snowflake para proporcionar una solución de conectividad unificada para datos estructurados y no estructurados. La integración permitirá a los clientes reemplazar conectores complejos punto a punto por pipelines flexibles y reutilizables en el Data Cloud AI de Snowflake.

Snowflake (NYSE: SNOW)는 Datavolo를 인수하기로 합의했다고 발표했습니다. Datavolo는 멀티모달 데이터 파이프라인 관리에 특화된 플랫폼입니다. 이번 인수 목표는 Snowflake의 데이터 생애 주기에서 '브론즈 레이어'의 기능을 향상시키고 데이터 엔지니어링 작업의 복잡성을 줄이는 것입니다. 10,000개 이상의 기업이 사용하는 Apache NiFi 기술을 기반으로 하는 Datavolo는 Snowflake 플랫폼에 통합되어 구조화된 데이터와 비구조화된 데이터에 대한 통합 연결 솔루션을 제공합니다. 이 통합은 고객이 복잡한 점대점 커넥터를 Snowflake의 AI 데이터 클라우드에서 유연하고 재사용 가능한 파이프라인으로 교체할 수 있도록 합니다.

Snowflake (NYSE: SNOW) a annoncé son accord pour acquérir Datavolo, une plateforme spécialisée dans la gestion de pipelines de données multimodaux. L'acquisition vise à améliorer les capacités de Snowflake dans la 'couche bronze' du cycle de vie des données et à simplifier les charges de travail en ingénierie des données. Datavolo, propulsé par la technologie Apache NiFi utilisée par plus de 10 000 entreprises, sera intégré à la plateforme de Snowflake pour fournir une solution de connectivité unifiée pour les données structurées et non structurées. L'intégration permettra aux clients de remplacer des connecteurs complexes de point à point par des pipelines flexibles et réutilisables dans le Cloud de données IA de Snowflake.

Snowflake (NYSE: SNOW) hat die Vereinbarung zur Übernahme von Datavolo bekannt gegeben, einer Plattform, die sich auf das Management von multimodalen Datenpipelines spezialisiert hat. Die Übernahme zielt darauf ab, Snowflakes Fähigkeiten in der 'Bronzeschicht' des Datenlebenszyklus zu verbessern und die Arbeitslasten im Bereich Datenengineering zu vereinfachen. Datavolo, betrieben von der Apache NiFi-Technologie, die von über 10.000 Unternehmen genutzt wird, wird in die Snowflake-Plattform integriert, um eine einheitliche Konnektivitätslösung für strukturierte und unstrukturierte Daten bereitzustellen. Diese Integration ermöglicht es den Kunden, komplexe Punkt-zu-Punkt-Verbindungen durch flexible, wiederverwendbare Pipelines im AI Data Cloud von Snowflake zu ersetzen.

Positive
  • Strategic expansion into data engineering and integration services
  • Access to Apache NiFi technology used by 10,000+ enterprises
  • Enhanced capabilities for handling both structured and unstructured data
  • Potential growth in public sector business due to Datavolo's federal presence
Negative
  • None.

Insights

The strategic acquisition of Datavolo marks a significant expansion of Snowflake's data engineering capabilities, particularly in handling unstructured data - a critical component for AI/ML workloads. The integration of Apache NiFi technology, which already has 10,000+ enterprise users, will substantially enhance Snowflake's connectivity layer and simplify complex data pipeline management.

This move addresses two key market demands: streamlining data engineering workflows and improving unstructured data handling capabilities. The acquisition will help reduce implementation costs and complexity for customers while strengthening Snowflake's position in the public sector, where Apache NiFi has strong adoption. The deal's emphasis on maintaining open-source support also indicates a strategic approach to ecosystem development.

This acquisition directly targets a critical pain point in enterprise data infrastructure - the complex "bronze layer" where raw data ingestion occurs. By integrating Datavolo's capabilities, Snowflake is positioning itself to offer a more complete data lifecycle solution, reducing dependency on third-party ETL tools and potentially lowering total ownership costs for customers.

The ability to deploy within Snowflake VPC or customer VPC environments provides important flexibility for enterprise clients with strict data sovereignty requirements. This flexibility, combined with the proven scalability of Apache NiFi, strengthens Snowflake's competitive position against both cloud hyperscalers and specialized data integration platforms.

Acquisition will supercharge data engineering on Snowflake’s platform with simple, scalable, and cost-effective unstructured data ingestion in the AI Data Cloud

No-Headquarters/BOZEMAN, Mont.--(BUSINESS WIRE)-- Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced it has signed a definitive agreement to acquire Datavolo, the company built to rapidly accelerate the creation, management, and observability of multimodal data pipelines for enterprise AI1. 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.

Snowflake Agrees to Acquire Open Data Integration Platform, Datavolo (Graphic: Business Wire)

Snowflake Agrees to Acquire Open Data Integration Platform, Datavolo (Graphic: Business Wire)

“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.

Forward-Looking Statements

This press release relates to a pending acquisition of Datavolo, Inc. (“Datavolo”) by Snowflake. This press release contains forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, regarding the anticipated benefits of the acquisition, and the anticipated impacts of the acquisition on our business, products, financial results, and other aspects of our and Datavolo’s operations. These forward-looking statements are subject to known and unknown risks, uncertainties, assumptions, and other factors that may cause actual results or outcomes to be materially different from any future results or outcomes expressed or implied by the forward-looking statements. These risks, uncertainties, assumptions, and other factors include, but are not limited to: the effect of the announcement of the acquisition on the ability of Snowflake or Datavolo to retain key personnel or maintain relationships with customers, vendors, developers, community members, and other business partners; risks that the acquisition disrupts current plans and operations; the ability of the parties to consummate the acquisition on a timely basis or at all; the satisfaction of the conditions precedent to consummation of the acquisition; our ability to successfully integrate Datavolo’s operations; our and Datavolo’s ability to execute on our business strategies relating to the acquisition and realize expected benefits and synergies; and our ability to compete effectively, including in response to actions our competitors may take following announcement of the acquisition. Further information on these and additional risks, uncertainties, and other factors that could cause actual outcomes and results to differ materially from those included in or contemplated by the forward-looking statements contained in this press release are included under the caption “Risk Factors” and elsewhere in our Form 10-Q for the fiscal quarter ended October 31, 2024 and other filings and reports we make with the Securities and Exchange Commission from time to time. Moreover, both we and Datavolo operate in a very competitive and rapidly changing environment, and new risks may emerge from time to time. It is not possible for us to predict all risks, nor can we assess the impact of all factors on our business or the acquisition, or the extent to which any factor, or combination of factors, may cause actual results or outcomes to differ materially from those contained in any forward-looking statements we may make. Forward-looking statements speak only as of the date the statements are made and are based on information available to us at the time those statements are made and/or our management's good faith belief as of that time with respect to future events. Except as required by law, we undertake no obligation, and do not intend, to update these forward-looking statements to reflect events that occur or circumstances that exist after the date on which they were made.

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About Snowflake

Snowflake makes enterprise AI easy, efficient and trusted. More than 10,000 companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applications, and power their business with AI. The era of enterprise AI is here. Learn more at snowflake.com (NYSE: SNOW).

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1
Closing of the acquisition is subject to customary closing conditions.

Media Contact

Danica Stanczak

Global Corporate Communications, Snowflake

press@snowflake.com

Source: Snowflake Inc.

FAQ

What is the purpose of Snowflake's (SNOW) acquisition of Datavolo?

Snowflake is acquiring Datavolo to enhance its data engineering capabilities, specifically in the 'bronze layer' of data lifecycle, and to provide simpler, more scalable unstructured data ingestion in the AI Data Cloud.

How will Datavolo's technology integrate with Snowflake (SNOW)?

Datavolo will be integrated into Snowflake's platform to provide a unified connectivity solution, replacing point-to-point connectors with flexible, reusable pipelines for moving both structured and unstructured data.

What technology powers Datavolo's platform that Snowflake (SNOW) is acquiring?

Datavolo is powered by Apache NiFi, a secure data processing and distribution project originally open-sourced by the NSA and currently used by more than 10,000 enterprises.

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