Denormalized
Denormalized, based in San Francisco, is a B2B company specializing in serverless real-time data platforms, enhancing developer productivity and simplifying data management without complex infrastructure.
Company Overview of Denormalized
Denormalized is a B2B infrastructure company based in San Francisco, CA, USA. The company operates within the larger North American region, specifically catering to users in the United States and Canada. Since graduating from the Y-Combinator S22 batch, Denormalized has been backed by investors such as Y Combinator, Superscrypt, and Asymmetric. With a small but focused team of two members, Denormalized is committed to enhancing developer productivity and simplifying complex data management tasks.
Denormalized Services
Denormalized provides a serverless real-time data platform designed to streamline data querying and infrastructure management. Their services include the automation of schema inference from sample data, allowing for effortless datasourcing and rapid table creation. By leveraging Kafka and Apache Pinot, Denormalized supports SQL-based data transformations without the need for complex stream processing systems. The platform is built to handle scalable data operations, eliminating the need for upfront resource provisioning or intricate infrastructure management. Additionally, Denormalized plans to introduce serverless functions soon, enabling complex transformations in Python and TypeScript.
Technologies Used by Denormalized
Denormalized leverages a combination of cutting-edge technologies to offer its services. At its core, the platform utilizes Kafka for messaging and Apache Pinot for efficient, low-latency data storage and retrieval. Built around these technologies, the platform supports approximately a dozen indexing techniques to enhance data query performance. The schema inference process is based on PyArrow, facilitating quick and accurate data stream creation for engineers. Upcoming features include serverless functions that will allow users to perform complex data transformations using Python and TypeScript.
Denormalized's Market and Use Cases
Denormalized targets the B2B infrastructure market, particularly benefiting developers and engineers dealing with real-time data streaming and analytics. The platform simplifies the complexities associated with traditional data management by automating schema inference and supporting SQL for data transformations. This makes it particularly useful for businesses that require quick data querying, low-latency analytics, and scalable infrastructure without extensive resource provisioning. By eliminating the need for complex infrastructure management, Denormalized enhances productivity and efficiency for its users.