CloudQuant is a data, research, and technology company delivering alternative solutions to financial services and other corporate clients. CloudQuant enables all tiers of users access to tools for efficient analysis of a world of fundamental, market, and consumer data through their Liberator Data Fabric and Data Warehouse services. The Chicago-based company serves a global client base.
Before becoming a standalone firm in 2016, CloudQuant was an internal research tool of a proprietary trading and investment firm. CloudQuant in its inception was used to backtest and trade quantitative trading strategies algorithmically. Starting in 2017, CloudQuant’s SaaS research platform became commercially available to crowd researchers globally and ultimately served researchers in 160 countries.
In operating a global research platform it became clear that the profitability of strategies developed by thousands of researchers was heavily influenced by the diversity and novelty of the datasets available to them. In order to rapidly fill this need, CloudQuant developed it’s flagship Liberator Data Warehouse and Data Fabric. These technology solutions depend on accessible data through web APIs and rely heavily on edge or cloud computing platforms to deliver the highest-quality service to their clients. This means they must use computing power capable of handling high-velocity and high-volume datasets for storage and rapid retrieval for research as well as Extract, Transform, and Load (ETL) operations.
This translates to using common cloud virtualization platforms, such as Virtual Machines (VMs) and Vultr Kubernetes Engine (VKE), to provide core services to clients, such as their CloudQuant Data Liberator and Artificial Intelligence (AI) services.
CloudQuant needed a flexible and powerful option for additional cloud computing and storage resources. Financial services data is voluminous, time-sensitive, and valuable, and CloudQuant requires reliable and easy-to-use cloud resources for clients worldwide.
Hosting financial services data is not as simple as inserting a file into a cabinet. Maintaining a high-availability and high-reliability service for large volumes of financial data can be a significant challenge, as the infrastructure should deliver with the lowest possible latency.
For CloudQuant to meet these performance targets, it needed a flexible and easy-to-use service providing highly reliable computing and storage resources. They achieved this through modern cloud data storage and data delivery technologies like content delivery networks that improve bandwidth and reduce access latency.
Maintaining cloud computing and storage platforms can be prohibitively expensive, so CloudQuant needed cost-effective options in the infrastructure powering their services on the back end to make the product lines profitable. CloudQuant’s strategy to achieve this was to develop its infrastructure, where they host the data as a combination of on-premises infrastructure and cloud services to minimize costs while maximizing service reliability. Vultr makes it easy for CloudQuant to achieve its objectives by delivering practical, easy, and cost-efficient cloud computing and storage options.
There are two main things CloudQuant needs to provide to their clients: strong computing power and highly reliable storage that can efficiently handle and process enormous amounts of data. Ease of use also helps with the system’s maintenance, which may affect operating costs in the long run.
It was a significant, ongoing challenge and risk delivering a cloud service with the required hardware specifications and maintenance to contain high-volume, high-velocity data. But with Vultr, the CloudQuant infrastructure could quickly meet their customers’ architecture requirements while improving their profitability, minimizing complexity, and lowering risk.
Currently, CloudQuant uses Vultr Kubernetes Engine (VKE) and other cloud computing VMs with memory requirements as high as 64 GB of RAM. This ensures that their clients’ compute-intensive data processing and research are able to sustain competitive performance. Moreover, Vultr is an attractive partner for these needs as Vultr provides convenient deployment with Wasabi as a storage equalizer.
With the scalable computing and storage power provided by Vultr, CloudQuant can maximize revenue by maximizing the number of services it can deliver. And developers can use open source technologies, like Kubernetes, PostgreSQL, Python, C++, and nghttp2 for their data-oriented services and applications.
CloudQuant utilizes Vultr because of its high quality, low cost, and approach to customer service. They work closely with the Vultr team to customize services. Because of the help and support they receive from Vultr, CloudQuant says they see it being a valuable partnership for years to come. Vultr’s customizable approach to service enabled them to use the technologies of their choice.
As a result, CloudQuant remains exceptionally satisfied with the level of customer service they’ve received from Vultr. Vice President of Engineering, John Muehlhausen summed up the partnership saying, “Working with Vultr feels like we have an in-house infrastructure team at a compelling price point.”
Fintech and commercial data
CloudQuant offers a high-performance quantitative research platform and data marketplace which showcases 15k+ datasets for financial services professionals.
Maintaining a high-availability and high-reliability service for large volumes of financial data can be a significant challenge, as the infrastructure should deliver with the lowest possible latency.