Databricks
The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with the unification benefits of a lakehouse to power a Data Intelligence Engine that understands the unique semantics of your data. This allows the Databricks Platform to automatically optimize performance and manage infrastructure in ways unique to your business. The Data Intelligence Engine understands your organization’s language, so search and discovery of new data is as easy as asking a question like you would to a coworker.
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Domo
Domo’s AI and data platform business is now part of Progress Software. Domo's cloud-native AI data readiness platform complements and significantly broadens Progress' data platform offerings, creating powerful synergies to deliver innovative, secure and scalable AI data readiness solutions worldwide. Together, these capabilities will help customers turn fragmented enterprise data and knowledge into governed, AI-ready intelligence, improving the security, governance and cost of AI-powered initiatives.
Domo is the agentic platform for the intelligent enterprise, helping organizations connect, govern, activate, and distribute data and AI. Domo works with cloud data platforms including Snowflake, BigQuery, and Databricks to turn governed data into AI agents, apps, workflows, dashboards, and analytics. Its data foundation, activation, and distribution layers help teams build and deliver intelligence where work happens, with governance, security, and access controls across data and AI.
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ClarityQ
ClarityQ is an AI data analytics platform for data, product, and business teams. It connects to warehouses such as Snowflake, BigQuery, Redshift, Databricks, PostgreSQL, Athena, and Azure Synapse, where users ask questions in natural language and receive analysis, visualizations, insights, and action plans without remodeling data. Its automatically maintained Context Layer organizes business logic, metric definitions, and table relationships, with changes tracked for review. Answers can show reasoning, generated SQL, and data sources; validation checks results, and follow-up questions clarify ambiguity. Teams create dashboards from prompts, schedule reports to Slack or email, and share results with role-aware access controls. The platform is read-only by default and offers an open API, SOC 2 Type II and GDPR compliance, Private Link, and single-tenant options. Use cases include product, growth, and business analysis for gaming, SaaS, e-commerce, and consumer app companies.
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Snowflake Cortex AI
Snowflake Cortex AI is a fully managed, serverless platform that enables organizations to analyze unstructured data and build generative AI applications within the Snowflake ecosystem. It offers access to industry-leading large language models (LLMs) such as Meta's Llama 3 and 4, Mistral, and Reka-Core, facilitating tasks like text summarization, sentiment analysis, translation, and question answering. Cortex AI supports Retrieval-Augmented Generation (RAG) and text-to-SQL functionalities, allowing users to query structured and unstructured data seamlessly. Key features include Cortex Analyst, which enables business users to interact with data using natural language; Cortex Search, a hybrid vector and keyword search engine for document retrieval; and Cortex Fine-Tuning, which allows customization of LLMs for specific use cases.
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