CENTRAL DATA REPOSITORY Centralize data sourcing and access Real-time usage and cost tracking
AVOID DUPLICATED REQUESTS Reduce costs by re-using already-paid-for data Leverage bulk data feeds
REST API Standard integration with third party applications (MATLAB, R Studio, Jupyter etc)
DATA CATALOGUE Easy and compliant access to all data consumed across the organization
UNPRECEDENT PERFORMANCE Highly-scalable on-premise solution to manage high volumes of data in a nimble way Powerhub ensures maximal cost saving, without compromising data quality and internal SLAs
STANDARD AND GENERIC DATA CONNECTORS Standard support for a large number of leading data providers Specific connectors can be created upon request during the integration phase
OPEN APIs Ready for IT experts (C, C++, .NET, REST, Java) and data scientists (Python, MATLAB, Excel) Microservices architecture as a new way to distribute and use your data
SECURED, TRANSPARENT, COMPLIANT Keep control over your data thanks to a unique “data firewall”, best-in-class permissioning system and real-time audit trails
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Quants that are doing back-testing strategies for portfolio and risk-modelling tend to be complex users, as the breadth and depth of information they need is large.
These “big data” users can take advantage of Powerhub REST API and of our Python wrapper library. Large datasets can be easily accessed via API in a fully permissioned and traceable way.
Check out how to use Jupyter with easyfeed Powerhub!
Check out how to use RStudio with easyfeed Powerhub!
Quants that are doing back-testing strategies for portfolio and risk-modelling tend to be complex users, as the breadth and depth of information they need is large.
These “big data” users can take advantage of Powerhub REST API and of our R wrapper library. Large datasets can be easily accessed via API in a fully permissioned and traceable way.