Amplify Partners

MotherDuck specializes in data infrastructure and analytics, providing a serverless platform designed to handle both small and large datasets. By integrating the performance of DuckDB with cloud capabilities, the company offers a user-friendly solution that facilitates collaborative data analysis. Its platform employs an embedded database to support hybrid execution, allowing users to analyze data locally and remotely. This enables businesses to effectively prototype and optimize their data strategies, enhancing their ability to derive insights and maximize profits in a streamlined environment.

TigerBeetle is a developer of a specialized financial accounting database that is engineered to manage high-volume financial transactions efficiently. The platform is designed to enhance Online Transaction Processing (OLTP), enabling businesses to track transactions at scale within and between systems. By innovating the distributed database storage engine and consensus protocol, TigerBeetle ensures critical safety and performance in financial operations. Its architecture allows for the enforcement of accounting policies by moving the code closer to the data, facilitating the transfer of large amounts between accounts in a single query. This design positions TigerBeetle as a vital solution for organizations operating in the fast-evolving landscape of digital payments.

MotherDuck specializes in data infrastructure and analytics, providing a serverless platform designed to handle both small and large datasets. By integrating the performance of DuckDB with cloud capabilities, the company offers a user-friendly solution that facilitates collaborative data analysis. Its platform employs an embedded database to support hybrid execution, allowing users to analyze data locally and remotely. This enables businesses to effectively prototype and optimize their data strategies, enhancing their ability to derive insights and maximize profits in a streamlined environment.

MotherDuck specializes in data infrastructure and analytics, providing a serverless platform designed to handle both small and large datasets. By integrating the performance of DuckDB with cloud capabilities, the company offers a user-friendly solution that facilitates collaborative data analysis. Its platform employs an embedded database to support hybrid execution, allowing users to analyze data locally and remotely. This enables businesses to effectively prototype and optimize their data strategies, enhancing their ability to derive insights and maximize profits in a streamlined environment.

Prisma is a company focused on providing app developers with tools to build scalable applications more efficiently through an open-source database toolkit. Founded in 2016, Prisma aims to democratize access to advanced data infrastructure typically utilized by large technology firms. The company offers a data platform that includes a query builder and a GraphQL application programming interface, allowing developers to access and manipulate data seamlessly. Its tools support operations such as filtering, sorting, pagination, and real-time capabilities, enabling users to navigate and edit their data with ease and safety. With offices in Berlin and San Francisco, Prisma has attracted investment from reputable venture capital firms.

ReadySet is a distributed SQL caching layer that precomputes the results of parameterized SQL queries and incrementally updates these results as the underlying data changes. It is wire-compatible with MySQL and Postgres, plugs directly into existing databases and applications without any code changes, and elastically scales read throughput to meet fluctuating demands. ReadySet offers the low latencies of a custom caching system and the high query throughputs of read replicas with the straightforward developer experience of using a single relational database.

ReadySet is a distributed SQL caching layer that precomputes the results of parameterized SQL queries and incrementally updates these results as the underlying data changes. It is wire-compatible with MySQL and Postgres, plugs directly into existing databases and applications without any code changes, and elastically scales read throughput to meet fluctuating demands. ReadySet offers the low latencies of a custom caching system and the high query throughputs of read replicas with the straightforward developer experience of using a single relational database.

Prisma is a company focused on providing app developers with tools to build scalable applications more efficiently through an open-source database toolkit. Founded in 2016, Prisma aims to democratize access to advanced data infrastructure typically utilized by large technology firms. The company offers a data platform that includes a query builder and a GraphQL application programming interface, allowing developers to access and manipulate data seamlessly. Its tools support operations such as filtering, sorting, pagination, and real-time capabilities, enabling users to navigate and edit their data with ease and safety. With offices in Berlin and San Francisco, Prisma has attracted investment from reputable venture capital firms.

Datadog, Inc. is a cloud-native company headquartered in New York that provides a comprehensive monitoring and analytics platform for developers, IT operations teams, and business users globally. Founded in 2010, Datadog's software-as-a-service platform integrates infrastructure monitoring, application performance monitoring, log management, user experience monitoring, and network performance monitoring. By consolidating data from servers, containers, databases, and third-party services, Datadog enables organizations to achieve real-time observability of their technology stacks. Its robust features include advanced analytics, collaborative tools, and alerting capabilities, which help teams proactively manage performance issues, minimize downtime, and enhance user experiences.

Datadog, Inc. is a cloud-native company headquartered in New York that provides a comprehensive monitoring and analytics platform for developers, IT operations teams, and business users globally. Founded in 2010, Datadog's software-as-a-service platform integrates infrastructure monitoring, application performance monitoring, log management, user experience monitoring, and network performance monitoring. By consolidating data from servers, containers, databases, and third-party services, Datadog enables organizations to achieve real-time observability of their technology stacks. Its robust features include advanced analytics, collaborative tools, and alerting capabilities, which help teams proactively manage performance issues, minimize downtime, and enhance user experiences.

Datadog, Inc. is a cloud-native company headquartered in New York that provides a comprehensive monitoring and analytics platform for developers, IT operations teams, and business users globally. Founded in 2010, Datadog's software-as-a-service platform integrates infrastructure monitoring, application performance monitoring, log management, user experience monitoring, and network performance monitoring. By consolidating data from servers, containers, databases, and third-party services, Datadog enables organizations to achieve real-time observability of their technology stacks. Its robust features include advanced analytics, collaborative tools, and alerting capabilities, which help teams proactively manage performance issues, minimize downtime, and enhance user experiences.

Datadog, Inc. is a cloud-native company headquartered in New York that provides a comprehensive monitoring and analytics platform for developers, IT operations teams, and business users globally. Founded in 2010, Datadog's software-as-a-service platform integrates infrastructure monitoring, application performance monitoring, log management, user experience monitoring, and network performance monitoring. By consolidating data from servers, containers, databases, and third-party services, Datadog enables organizations to achieve real-time observability of their technology stacks. Its robust features include advanced analytics, collaborative tools, and alerting capabilities, which help teams proactively manage performance issues, minimize downtime, and enhance user experiences.

Datadog, Inc. is a cloud-native company headquartered in New York that provides a comprehensive monitoring and analytics platform for developers, IT operations teams, and business users globally. Founded in 2010, Datadog's software-as-a-service platform integrates infrastructure monitoring, application performance monitoring, log management, user experience monitoring, and network performance monitoring. By consolidating data from servers, containers, databases, and third-party services, Datadog enables organizations to achieve real-time observability of their technology stacks. Its robust features include advanced analytics, collaborative tools, and alerting capabilities, which help teams proactively manage performance issues, minimize downtime, and enhance user experiences.