engine

Snowflake has announced the acquisition of Crunchy Data, a company specializing in PostgreSQL database capabilities, valued at around [openai_gpt model="gpt-4o-mini" prompt="Summarize the content and extract only the fact described in the text bellow. The summary shall NOT include a title, introduction and conclusion. Text: SAN FRANCISCO -- In a strategic move to enhance its offerings, Snowflake has announced the acquisition of Crunchy Data, a company specializing in PostgreSQL database capabilities. This acquisition, reportedly valued at around 0 million, is currently pending customary closing requirements. The timing of this purchase is notable, occurring shortly after Snowflake's competitor, Databricks, acquired Neon to bolster its own PostgreSQL capabilities. Crunchy Data, headquartered in Charleston, South Carolina, empowers organizations to leverage the open-source PostgreSQL format for secure and efficient data management, which is essential for analytics and AI applications. Sanjeev Mohan, founder and principal of the analyst firm SanjMo, highlighted that while Snowflake has a robust suite of data management and AI development tools, it previously lacked comprehensive operational and transactional database capabilities. This is a fantastic acquisition for Snowflake. [The acquisition] addresses the limitations in its prior attempts with Unistore and Hybrid Tables, enabling Snowflake to now offer a true online transaction processing solution within its platform based on open standards. Sanjeev Mohan, Founder and principal, SanjMo Currently, Snowflake allows users to manage operational and transactional workloads through its Unistore feature, which utilizes Hybrid Tables. However, these capabilities have been limited compared to those offered by PostgreSQL databases. Mohan emphasized the significance of the Crunchy Data acquisition, stating it allows Snowflake to provide a genuine online transaction processing solution. Additive capabilities As enterprises ramp up their investments in AI development, data management vendors like Snowflake and Databricks have been expanding their platforms to facilitate the development, deployment, and management of AI models. While Databricks has pursued aggressive acquisition strategies, Snowflake has primarily focused on enhancing its capabilities through internal product development. Earlier this year, Snowflake acquired Neeva to kickstart its AI expansion and onboard current CEO Sridhar Ramaswamy. With the Crunchy Data acquisition, Snowflake is poised to integrate PostgreSQL capabilities into its platform, a move that analysts like Stephen Catanzano from Enterprise Strategy Group view as significant. Catanzano remarked, "It's a smart and strategic move. By acquiring Crunchy Data, Snowflake strengthens its ability to support structured, transactional data workloads critical for powering AI agents and applications that rely on a mix of operational and analytical data." This integration will enable Snowflake to cater to enterprises that prioritize governance, security, and compliance in their AI solutions. PostgreSQL has emerged as the most popular database, surpassing MySQL and other competitors, thanks to its flexibility and the support of a vibrant community. Its capabilities extend beyond traditional relational database functions, encompassing geospatial, time series, JSON, and vector database workloads. Mohan noted that PostgreSQL's vector database capabilities are particularly valuable for AI development, allowing users to structure unstructured data for enhanced searchability and similarity searches. According to Mohan, the Crunchy Data acquisition will enable Snowflake to manage real-time transactional data that feeds AI applications, addressing a previous shortcoming. Catanzano added that PostgreSQL databases also assist users in maintaining compliance with industry standards and managing metadata effectively. Ramaswamy emphasized the importance of transactional data systems, stating that the acquisition will provide users with access to a transactional store directly within Snowflake. Additionally, Christian Kleinerman, Snowflake's executive vice president of product, highlighted the importance of offering customers choices without overwhelming them. While Crunchy Data's PostgreSQL engine will not directly integrate with Snowflake's existing SQL engine, its open-source nature allows for greater interoperability with various third-party applications. Despite both Snowflake and Databricks acquiring PostgreSQL vendors, Mohan pointed out that the capabilities offered by Neon and Crunchy Data differ significantly. Neon provides a cloud-native, serverless database optimized for testing and development, while Crunchy Data focuses on production-ready capabilities suitable for large-scale deployments in Kubernetes environments. Looking ahead The integration of PostgreSQL capabilities through the Crunchy Data acquisition is anticipated to serve as a foundational element for Snowflake's future. If successfully integrated, these capabilities could empower developers to build, train, and deploy AI models directly on transactional data within the Snowflake ecosystem, as well as facilitate hybrid queries that combine transactional and analytical data. Mohan suggested that Snowflake should leverage Crunchy Data's robust security features to enhance its governance initiatives. Catanzano echoed this sentiment, recommending that Snowflake prioritize the integration of PostgreSQL capabilities into its AI development ecosystem. He also advised pursuing additional partnerships and acquisitions to further enhance its capabilities in open-source AI, unstructured data management, and hybrid workloads. As Snowflake continues to evolve, the acquisition of Crunchy Data marks a significant step towards meeting the demands of modern enterprises seeking comprehensive AI and data-driven solutions. Eric Avidon is a senior news writer for Informa TechTarget and a journalist with more than 25 years of experience. He covers analytics and data management." max_tokens="3500" temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" frequency_penalty="frequency_penalty"] million, pending customary closing requirements. This acquisition follows Databricks' purchase of Neon to enhance its PostgreSQL capabilities. Crunchy Data, based in Charleston, South Carolina, enables organizations to use PostgreSQL for secure data management essential for analytics and AI applications. The acquisition addresses Snowflake's previous limitations in operational and transactional database capabilities, allowing it to offer a true online transaction processing solution. Snowflake currently manages operational workloads through its Unistore feature, which has been limited compared to PostgreSQL databases. The integration of PostgreSQL capabilities is expected to support structured, transactional data workloads critical for AI applications. PostgreSQL has become the most popular database due to its flexibility and community support, with capabilities extending beyond traditional functions. The acquisition will enable Snowflake to manage real-time transactional data for AI applications and enhance compliance and metadata management. Crunchy Data's PostgreSQL engine will not directly integrate with Snowflake's SQL engine but will allow for greater interoperability with third-party applications. The capabilities of Crunchy Data differ from those of Neon, which focuses on cloud-native, serverless databases. The integration of these capabilities is anticipated to empower developers to build and deploy AI models directly on transactional data within Snowflake.