MongoDB was adopted by AHL as the single platform for all financial data, replacing traditional technologies and delivering significant improvements in speed, cost savings, and scalability. The adoption of MongoDB enabled AHL to support its quantitative researchers more effectively, allowing them to research, construct, and deploy new trading models in a more efficient and agile manner. With MongoDB, AHL was able to retrieve low-frequency data 100x faster, deliver consistent retrieval times, and reduce time to recompute trading models from hours to minutes. Additionally, MongoDB enabled the company to capture tick data at a rate of 250 million ticks per second, scaling quickly to meet the demands of high-frequency trading. The adoption of MongoDB also resulted in significant cost savings, with AHL reducing disk storage needs by 40% and realizing a 40X cost savings compared to its previous solution.