Quickwit

Quickwit is an innovative startup that has developed an open-source search engine optimized for object storage. This technology is designed to handle vast amounts of raw data with subsecond latency, making it highly efficient and cost-effective. Unlike traditional search technologies that are built for high query per second (QPS) on limited data volumes, Quickwit excels in environments where data volume is limitless but QPS remains low.

The company primarily serves clients in the fields of log management, data analytics, and data lakes. These clients often deal with massive datasets and require efficient search capabilities to extract valuable insights. Quickwit's technology is particularly beneficial for organizations using cloud storage solutions like Amazon S3, Azure Blob Storage, and Google Cloud Storage.

Quickwit operates in the data analytics and cloud computing market. Its business model is based on providing a scalable, cloud-native, and vendor-neutral search solution that can be easily integrated into existing data stacks. The company makes money through a pay-as-you-go model, where clients pay only for the compute resources they use. This decoupled storage and compute architecture ensures that clients can scale their resources based on demand, optimizing both performance and cost.

The core technology of Quickwit leverages Rust and Tantivy, a Rust-based search engine library. This combination allows for optimized CPU and processing power, drastically reducing CPU and RAM usage. The system is designed to be stateless, meaning any search instance can handle any request, providing total flexibility and ease of scaling.

In summary, Quickwit offers a cutting-edge search engine solution that is both highly efficient and cost-effective, making it an ideal choice for organizations dealing with large volumes of data.

Keywords: open-source, search engine, object storage, subsecond latency, data analytics, cloud-native, scalable, cost-efficient, Rust, Tantivy.