Over the years, the technology landscape for data management has given rise to various architecture patterns, each thoughtfully designed to cater to specific use cases and requirements. These patterns include both centralized storage patterns like data warehouse, data lake and data lakehouse, and distributed patterns such as data mesh. Each of these architectures has its own unique strengths and tradeoffs.
Snowflake’s single, cross-cloud governance model has always been a powerful differentiator, enabling customers to manage their increasingly complex data ecosystems with simplicity and ease. As a result, Snowflake is enhancing its governance capabilities that thousands of customers already rely on through Snowflake Horizon. Snowflake Horizon is Snowflake’s built-in governance solution with a unified set of compliance, security, privacy, interoperability, and access capabilities.
In the ever-evolving world of data management, Snowflake is at the forefront of empowering our customers to make informed decisions about data while ensuring cost efficiency and control. Admins know that managing and optimizing platform costs can be a complex and time-consuming task. To help them more intuitively understand, control and optimize spend from one centralized place, Snowflake is introducing the new Cost Management Interface (private preview).
At Cloudera, we continuously strive to empower organizations to unlock the full potential of their data, catalyzing innovation and driving actionable insights. And so we are thrilled to introduce our latest applied ML prototype (AMP)—a large language model (LLM) chatbot customized with website data using Meta’s Llama2 LLM and Pinecone’s vector database.
Generative AI (GenAI) and large language models (LLMs) are disrupting the way we work at a global scale. Snowflake is excited to announce an innovative product lineup that brings our platform’s ease of use, security and governance to the GenAI world.
Snowflake is announcing new product capabilities that are changing how developers build, deliver, distribute and operate their applications.
Snowflake has invested heavily in extending the Data Cloud to AI/ML workloads, starting in 2021 with the introduction of Snowpark, the set of libraries and runtimes in Snowflake that securely deploy and process Python and other popular programming languages.
Generative AI is unlocking new ways to drive innovation, improve productivity and derive more value from data. For organizations to fully capitalize on this potential, it’s critical that everyone — not just those with AI expertise — is able to access and use generative AI.
