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.

Quantifind, Inc. is a data science company that specializes in creating on-demand insights platforms aimed at enhancing marketing effectiveness and detecting financial crimes such as money laundering and fraud. Founded in 2008 by two Ph.D. graduates in atomic physics, the company offers several key products, including signum Analysis, which helps users assess performance drivers for brands and competitors; signum Voice, which focuses on revenue drivers; and signum Impact, which measures the effects of sponsorships on brand awareness and sales. Additionally, Quantifind's platform integrates internal financial institution data with public domain data to identify risks, thereby assisting financial crime analysts in minimizing false positive alerts and managing risk. The company serves various sectors, including automotive, consumer packaged goods, entertainment, financial services, pharmaceuticals, retail, and telecommunications, and has established a strategic partnership with Oracle Financial Services. Quantifind is headquartered in Menlo Park, California, with additional offices in Silicon Valley, New York, and Washington, D.C.

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.

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.

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.

Gradient is a developer of artificial intelligence models aimed at automating enterprise workloads. The company provides customizable and compute-efficient large language models, along with a development platform. This combination enables organizations to effectively harness artificial intelligence, streamlining their workflows and enhancing productivity. Through its offerings, Gradient facilitates the integration of advanced AI capabilities into various business processes, allowing enterprises to optimize operations and improve efficiency.

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.

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.

Tecton offers an enterprise-ready feature store that addresses the unique data requirements of machine learning. By providing a robust data platform, Tecton enables machine learning teams to efficiently build, serve, and scale features for production use. The platform allows users to construct features from various data sources, including batch, streaming, and real-time data, facilitating the sharing, reuse, and deployment of models. This capability empowers data scientists and organizations to automate decisions at high speed, enhance customer experiences, and transform business processes. Tecton's focus on optimizing the data layer for machine learning aims to help companies develop superior models more rapidly, driving significant business outcomes.

Domino Data Lab, Inc. offers an enterprise data science platform that supports both on-premise and cloud-based solutions for data analysis applications. Its primary offerings include Domino Cloud, a managed cloud infrastructure for running and scaling models, and Domino On-Premise, which allows clients to track and audit their analyses. The platform is designed to empower data science teams by enabling collaborative, reusable, and reproducible analysis. Domino Data Lab serves a diverse range of industries, including financial services, healthcare, manufacturing, media, technology, retail, and consumer products. The platform is utilized by model-driven organizations to accelerate research, enhance collaboration, and deliver impactful models efficiently. Founded in 2012 and based in San Francisco, California, the company was formerly known as Cerebro, Inc. before rebranding in 2015.

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.

Securonix, Inc. is a company that specializes in advanced security analytics and operations management, focusing on big data and sophisticated cyber threats. Founded in 2015 and headquartered in Addison, Texas, Securonix offers a range of solutions, including its Next-Gen SIEM platform, which utilizes Hadoop for cost-effective data retention. The company's offerings include User and Entity Behavior Analytics (UEBA), Security Orchestration Automation and Response (SOAR), and Network Traffic Analysis (NTA), which collectively transform raw data into actionable insights. Securonix employs machine learning and signature-less anomaly detection techniques to identify insider threats, data breaches, and fraud attacks, catering to various sectors including healthcare, cloud security, and fraud prevention. With additional locations in the United States, India, the United Kingdom, Germany, and Singapore, Securonix serves clients globally, addressing both basic and complex security needs through risk intelligence and real-time data analysis.

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.

Bodo.ai specializes in providing a high-performance parallel computing platform designed for data analytics, capable of scaling beyond 10,000 cores and managing petabytes of data efficiently. The company’s innovative approach includes automatic parallelization and the first inferential compiler, allowing clients, including Fortune 500 companies, to tackle complex data analysis challenges more quickly and cost-effectively than traditional methods. Bodo.ai's platform retains the simplicity and flexibility of native Python, enabling developers, data scientists, and AI engineers to streamline their workflows while focusing on solving business problems. The platform can be deployed on various infrastructures, from personal laptops to public cloud environments. Headquartered in San Francisco with an additional office in Pittsburgh, Bodo.ai aims to significantly enhance the efficiency of data analytics.

Lacework, Inc. is a cloud security platform based in Mountain View, California, that specializes in providing automated threat defense and intrusion detection for cloud workloads. Founded in 2015, the company offers a comprehensive solution known as Polygraph, which secures customer accounts, workloads, and data while detecting anomalies and delivering actionable insights for incident remediation. Lacework's platform automates critical security functions, including configuration assessment, behavior monitoring, anomaly detection, and incident investigation. It continuously monitors various cloud components, such as workloads, applications, processes, containers, machines, users, and accounts, enabling security teams to effectively protect their data and maintain ongoing compliance in a rapidly evolving digital environment.

Anaconda, Inc. is a leading provider of a Python data science platform designed to facilitate the adoption of open data science practices across various industries, including energy, finance, defense, biology, and medicine. Founded in 2011 and headquartered in Austin, Texas, the company offers the Anaconda Distribution, which provides access to essential data science packages, and Anaconda Enterprise, an open data science platform tailored for corporate and academic environments. In addition to its software solutions, Anaconda provides training programs in Python to support individuals transitioning into data science careers, as well as services focused on addressing technical computing challenges related to data management, optimization, and visualization. With a user base exceeding 45 million across 250 countries, Anaconda is recognized as a key player in the data science and AI sectors, serving a significant portion of Fortune 500 companies and fostering a vibrant community around open-source innovation.

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.

Quantifind, Inc. is a data science company that specializes in creating on-demand insights platforms aimed at enhancing marketing effectiveness and detecting financial crimes such as money laundering and fraud. Founded in 2008 by two Ph.D. graduates in atomic physics, the company offers several key products, including signum Analysis, which helps users assess performance drivers for brands and competitors; signum Voice, which focuses on revenue drivers; and signum Impact, which measures the effects of sponsorships on brand awareness and sales. Additionally, Quantifind's platform integrates internal financial institution data with public domain data to identify risks, thereby assisting financial crime analysts in minimizing false positive alerts and managing risk. The company serves various sectors, including automotive, consumer packaged goods, entertainment, financial services, pharmaceuticals, retail, and telecommunications, and has established a strategic partnership with Oracle Financial Services. Quantifind is headquartered in Menlo Park, California, with additional offices in Silicon Valley, New York, and Washington, D.C.

Lacework, Inc. is a cloud security platform based in Mountain View, California, that specializes in providing automated threat defense and intrusion detection for cloud workloads. Founded in 2015, the company offers a comprehensive solution known as Polygraph, which secures customer accounts, workloads, and data while detecting anomalies and delivering actionable insights for incident remediation. Lacework's platform automates critical security functions, including configuration assessment, behavior monitoring, anomaly detection, and incident investigation. It continuously monitors various cloud components, such as workloads, applications, processes, containers, machines, users, and accounts, enabling security teams to effectively protect their data and maintain ongoing compliance in a rapidly evolving digital environment.

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.

Theom is an IT company founded in 2020 and based in San Francisco, California, specializing in cloud and data security services. Theom's cloud-native security platform is designed to discover, track, and protect enterprise data in cloud environments. It provides immediate value by identifying risks associated with data loss and prioritizing corrective actions. This allows enterprises to concentrate on business growth while securely leveraging their data in the cloud.

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.