Snowflake

DataOps is a framework that focuses on improving the quality, speed, and governance of data across organizations. It provides a comprehensive platform that integrates tools for agile automation and Internet of Things (IoT) data compression within cloud environments. The DataOps platform facilitates end-to-end orchestration and management, allowing for continuous integration and delivery, automated testing, and efficient data extraction, loading, and transformation processes. By streamlining these operations, DataOps enhances collaboration among stakeholders, reduces operational costs, and ensures data assurance while maintaining robust governance and security measures. This approach empowers businesses to develop faster and more efficiently, ultimately leading to better decision-making based on high-quality data.

Datavolo is a Software as a Service (SaaS) company that empowers organizations to leverage their unstructured data effectively. Its core product is a dataflow infrastructure platform, which enables access to all types of data, including unstructured files. This platform captures unstructured data, replaces single-use, point-to-point code with flexible, reusable pipelines, allowing clients to focus on generative AI tasks.

Maxa AI specializes in business performance AI technology that enhances the ability of organizations to gain timely insights into their financial and operational data. The company offers an artificial intelligence-based platform that integrates seamlessly with existing enterprise resource planning systems, allowing mid-sized and large businesses to automate financial insights and streamline their data operations. By utilizing a standardized semantic layer within the Snowflake Data Cloud, Maxa AI's solution transforms complex and siloed data from multiple sources into a unified enterprise data model. This enables organizations to monitor, forecast, and optimize their financial performance efficiently, providing them with actionable insights that were previously difficult to obtain. Maxa AI aims to deliver these insights as a low-cost commodity, making advanced data analysis more accessible for its clients.

Sigma Computing, Inc. is a San Francisco-based company founded in 2014 that specializes in business intelligence and analytics solutions for cloud data warehouses. The company offers a cloud analytics platform that enables users to access and analyze data through an intuitive spreadsheet interface. This design allows individuals across organizations, from data teams to analysts and domain experts, to engage with data without the need for coding or complex data extracts. By facilitating a user-friendly experience, Sigma Computing aims to empower businesses to make insight-driven decisions efficiently and align their analytical efforts with overall business objectives. This approach fosters a collaborative and iterative environment for data analysis, allowing data experts to concentrate on more innovative projects.

Observe Inc. is a technology company based in San Mateo, California, founded in 2017. It offers an online platform designed for log analytics, infrastructure monitoring, and application performance management. The platform consolidates fragmented logs, metrics, and traces into a unified data lake, enhancing the storage, management, and analysis of business data. Its unique Data Graph technology allows users to quickly diagnose issues in distributed applications, significantly improving the speed of issue resolution compared to traditional observability solutions. By leveraging an elastic cloud architecture, the platform simplifies troubleshooting and reduces outages, allowing engineers to focus more on development and less on incident investigation.

Samooha specializes in privacy-enhancing technologies that facilitate secure data collaboration for enterprises. The company aims to democratize access to data, allowing businesses to effectively leverage their data ecosystems. By focusing on secure data sharing, Samooha helps organizations unlock the full potential of their data, generating significant value for enterprises, consumers, and society as a whole.

Ponder Data Inc. specializes in providing enterprise-ready tools that facilitate rapid and flexible experimentation with data at scale. The company's platform is designed to enhance productivity for data teams by enabling them to obtain insights more swiftly, utilizing familiar tools. Ponder's technology focuses on maintaining scalable machine learning and analytics capabilities, allowing users to handle workloads of varying sizes while preserving the user-friendly nature of the pandas API. This approach empowers organizations to perform data science tasks efficiently and effectively, making it easier for teams to derive valuable insights from their data.

Sisu is a decision intelligence engine that allows users to efficiently and comprehensively utilize their cloud data. Companies such as Mastercard, Autodesk, Samsung, Upwork, Wayfair, Equinox, Udacity, and Gusto leverage Sisu to enhance their customer experiences, increase revenue growth, and reduce incident rates.

DataOps is a framework that focuses on improving the quality, speed, and governance of data across organizations. It provides a comprehensive platform that integrates tools for agile automation and Internet of Things (IoT) data compression within cloud environments. The DataOps platform facilitates end-to-end orchestration and management, allowing for continuous integration and delivery, automated testing, and efficient data extraction, loading, and transformation processes. By streamlining these operations, DataOps enhances collaboration among stakeholders, reduces operational costs, and ensures data assurance while maintaining robust governance and security measures. This approach empowers businesses to develop faster and more efficiently, ultimately leading to better decision-making based on high-quality data.

Modelbit is a company that specializes in providing deployment solutions for machine learning models, catering primarily to data scientists. Its platform allows users to deploy models directly from the Jupyter notebook or other data science environments where they are built and trained. In addition to deployment capabilities, Modelbit offers tools for managing production deployments and facilitates collaboration on datasets among team members. The platform integrates with modern data stacks and includes features such as logging, monitoring, and testing, thereby enhancing the overall development process for machine learning models. The company was co-founded by Harry Glaser and Tom O'Neill.

Cybersyn is a data-as-a-service (DaaS) company focused on providing businesses with access to real-time data to facilitate informed decision-making. It specializes in consumer behavior analytics, allowing organizations to gain insights into spending patterns and market dynamics. Cybersyn's platform features a telex network for information transmission, statistical alerting and planning tools, an economic simulator, and a control room designed to support data-driven decision-making. By offering standardized and readily usable data, Cybersyn enables companies to enhance their competitive edge while simplifying data management complexities.

Hex is a software company that provides collaborative data science and analytics. They provide individuals to learn and organizations to know things so they can make better decisions. Hex brings together SQL, Python, R, and no-code in powerful notebooks and allows users to publish projects as interactive data apps that anyone can use with one click.

Samooha specializes in privacy-enhancing technologies that facilitate secure data collaboration for enterprises. The company aims to democratize access to data, allowing businesses to effectively leverage their data ecosystems. By focusing on secure data sharing, Samooha helps organizations unlock the full potential of their data, generating significant value for enterprises, consumers, and society as a whole.

Applica is a developer of an AI-based documentation automation platform that translates various business documents into computer-readable and actionable data. Its technology addresses challenges such as document variability, semantics, context, and the presence of complex tables and graphical elements. By leveraging this AI-powered solution, clients can significantly reduce the need for human labor, streamline document processing, minimize human error, and enhance overall operational efficiency. Applica's platform is designed to provide flexibility and effectiveness, allowing businesses to manage their documentation processes with reduced risk and improved turnaround times.

Hex is a software company that provides collaborative data science and analytics. They provide individuals to learn and organizations to know things so they can make better decisions. Hex brings together SQL, Python, R, and no-code in powerful notebooks and allows users to publish projects as interactive data apps that anyone can use with one click.

Streamlit, Inc. is a company that offers an open-source application framework specifically designed for data scientists and machine learning engineers. Founded in 2018 and headquartered in San Francisco, California, Streamlit enables users to develop and deploy data science applications quickly and efficiently. Its framework allows for the creation of custom applications that facilitate interaction with data models, significantly reducing the time required to build performant applications. By providing this resource, Streamlit supports businesses in leveraging their data more effectively through intuitive, user-friendly applications.

Dbt Labs is a developer of an open-source analytics engineering tool founded in 2016 and headquartered in Philadelphia, Pennsylvania. The company focuses on empowering data analysts to create and disseminate organizational knowledge through its innovative platform. By enabling users with SQL knowledge to build data transformation workflows, Dbt Labs provides a transformation workflow tool that facilitates quick and collaborative deployment of analytics code. This tool emphasizes software engineering practices such as modularity, portability, and documentation, thereby allowing teams to streamline their analytics processes and enhance their ability to derive insights from data.

DataOps is a framework that focuses on improving the quality, speed, and governance of data across organizations. It provides a comprehensive platform that integrates tools for agile automation and Internet of Things (IoT) data compression within cloud environments. The DataOps platform facilitates end-to-end orchestration and management, allowing for continuous integration and delivery, automated testing, and efficient data extraction, loading, and transformation processes. By streamlining these operations, DataOps enhances collaboration among stakeholders, reduces operational costs, and ensures data assurance while maintaining robust governance and security measures. This approach empowers businesses to develop faster and more efficiently, ultimately leading to better decision-making based on high-quality data.

Collibra is a data governance software company that provides an end-to-end Data Intelligence platform aimed at facilitating digital business transformation. Founded in 2008 and headquartered in Hoofdstedelijk Gewest, Belgium, Collibra's platform is designed to eliminate traditional data silos, enabling organizations to access and leverage their data effectively. By offering a comprehensive solution that connects data, insights, and algorithms, Collibra empowers users, referred to as Data Citizens, to find the information they need, collaborate efficiently, and understand the data's meaning. This focus on trustworthy business intelligence helps organizations achieve reliable outcomes and optimize their digital operations.

Sigma Computing, Inc. is a San Francisco-based company founded in 2014 that specializes in business intelligence and analytics solutions for cloud data warehouses. The company offers a cloud analytics platform that enables users to access and analyze data through an intuitive spreadsheet interface. This design allows individuals across organizations, from data teams to analysts and domain experts, to engage with data without the need for coding or complex data extracts. By facilitating a user-friendly experience, Sigma Computing aims to empower businesses to make insight-driven decisions efficiently and align their analytical efforts with overall business objectives. This approach fosters a collaborative and iterative environment for data analysis, allowing data experts to concentrate on more innovative projects.

Habu is a marketing data operating system that helps brands enhance their first-party data while prioritizing privacy. The company's modular platform is designed to integrate with existing marketing technologies, including legacy systems, allowing marketers to avoid additional investments in new platforms. Habu enables brands to establish a robust data foundation, uncover actionable insights, and deliver personalized marketing across multiple channels. With its focus on automated privacy compliance, Habu supports clients in navigating the complexities of data management in a privacy-conscious environment. The company is headquartered in San Francisco and has additional offices in Boston and New York.

Dataiku Inc. is a company that develops a centralized data platform designed to support businesses in their data journey from analytics to enterprise AI. Founded in 2013, and headquartered in New York with additional offices in Paris and London, Dataiku offers a collaborative data science software platform known as Dataiku DSS. This platform enables teams of data scientists, analysts, and engineers to prepare, analyze, and visualize data effectively. It includes tools for data profiling, interactive exploration, and machine learning capabilities, allowing organizations to build and deploy data products efficiently. By providing a repository of best practices and a controlled environment, Dataiku aims to foster collaboration among data professionals and streamline the development of impactful models and innovative solutions. Prominent clients like Unilever and GE utilize Dataiku to enhance their data-driven decision-making processes and adapt to the growing volume of data they manage.

Alation, Inc. is a provider of enterprise data intelligence solutions based in Redwood City, California. Founded in 2012, the company specializes in a platform that facilitates data search and discovery, data governance, data stewardship, and analytics, aiming to support organizations in their digital transformation efforts. Alation's platform is distinguished by its Behavioral Analysis Engine, which integrates machine learning with human insights, enabling effective metadata management and collaboration. This approach empowers users to easily find and understand the data they require, while also ensuring proper governance and compliance. Alation has established itself as a leader in the data catalog market, delivering tools that help analysts make informed decisions by providing a comprehensive view of data usage and provenance.

Dataiku Inc. is a company that develops a centralized data platform designed to support businesses in their data journey from analytics to enterprise AI. Founded in 2013, and headquartered in New York with additional offices in Paris and London, Dataiku offers a collaborative data science software platform known as Dataiku DSS. This platform enables teams of data scientists, analysts, and engineers to prepare, analyze, and visualize data effectively. It includes tools for data profiling, interactive exploration, and machine learning capabilities, allowing organizations to build and deploy data products efficiently. By providing a repository of best practices and a controlled environment, Dataiku aims to foster collaboration among data professionals and streamline the development of impactful models and innovative solutions. Prominent clients like Unilever and GE utilize Dataiku to enhance their data-driven decision-making processes and adapt to the growing volume of data they manage.

Knoema is a leading provider of a comprehensive information platform that offers access to global decision-making data. The company's technology solutions streamline the process of data discovery and insight generation, significantly reducing the time and resources required for businesses to analyze and utilize data. Knoema's platform integrates various analytical and presentation tools, allowing users to visualize, model, and effectively communicate data insights. By partnering with numerous data vendors, Knoema enhances its offerings, enabling individuals and organizations to make more informed decisions and achieve better business outcomes. In 2020, Knoema was acquired by Eldridge and received investment from Snowflake Ventures, further expanding its reach through the Snowflake Data Marketplace.

Hex is a software company that provides collaborative data science and analytics. They provide individuals to learn and organizations to know things so they can make better decisions. Hex brings together SQL, Python, R, and no-code in powerful notebooks and allows users to publish projects as interactive data apps that anyone can use with one click.