MayStreet, the market data technology and content provider, announced the launch of the next generation of Analytics Workbench, the firm’s ready-to-use, cloud-based market data analytics environment.
Through Analytics Workbench, data analysts can quickly and efficiently query the MayStreet Market Data Lake to drive mission-critical trading workflows without managing data capture, delivery or storage.
Key features of the new Analytics Workbench:
- Query and extract data using Python or R for analysis within Workbench or in any other location, whether in the cloud or on-premise
- Leverage pre-configured Jupyter notebooks to support out-of-the-box query capabilities
- Perform ad-hoc analyses or schedule batch jobs to support ongoing reporting requirements
- Instantly parallelise and scale ad-hoc or scheduled code across the cloud with integrated support for Dask clusters
- Upload internal order data or other third-party data to leverage in conjunction with MayStreet market data to support TCA, fill analysis and best execution reporting
- Query results provided in normalised or raw PCAP formats and create reports using powerful visualisation tools
- Flexible deployment options, either fully managed within MayStreet’s cloud environment or integrated within a client’s cloud
- Achieve performance objectives with optimised cluster parallelization
Commenting on the launch, Naftali Cohen, MayStreet’s Chief Revenue Officer, said: “The completely revamped Analytics Workbench realises our goal of letting users bring their queries to our data, freeing them from the difficult and costly work of managing the data themselves. For the first time, our vast repository of ultra-high-quality global market data is accessible in a ready-to-use environment that leverages cloud economics. It’s also highly customisable, letting clients choose the level of performance they desire to manage costs based on their needs. The new Analytics Workbench is a true gamechanger.”
Dave Thompson, Senior Vice President, Frontend Engineering, added: “In the process of redeveloping Analytics Workbench from the ground up, we identified several tools such as Dremio, Dask and Jupyter that could elevate its performance, functionality and scalability. By integrating these and other technologies, we have created truly modern data access and analytics tools built for the cloud. We’ve had many conversations with clients over the past 18 months about their hopes for a product like this, and we’re very pleased with the result.”
The new version of Analytics Workbench is currently being used by multiple clients, including a global investment bank, an exchange and a quantitative hedge fund.
MayStreet’s release of Analytics Workbench is the latest in a series of enhancements to the MayStreet Market Data Lake. Other recent enhancements include access through a new High-Performance Query (HPQ) API, the introduction of full-depth-of-book data for all US-listed options markets and the round out of its global coverage with the addition of all major equities and futures markets in Asia-Pacific.
