Structure, Unify, and Cache Big Data in a High-Performance Database.

Is your database too confusing to access the data you need? Can you easily add new data sources for analysis? Do you waste time waiting for queries to run?

We organize and transform abstract datasets from multiple data sources into meaningful financial entities and attributes that are easily analyzable in your statistical tool of choice.

Match, Map, and Stitch Securities Through Time in our Entity Manager.

Do you spend time trying to fix security identifier time series breaks? Do you have trouble matching data across data vendors? Do you have a security master but it is designed for the back-office?

Our solution stitches together security identifiers through time and across data vendors allowing you to focus on analyzing the data in a backtest, simulation, optimization, attribution or report.

Expose Big Data in Research Language of your Choice with our Data Access & Manipulation Layer.

Do you spend time writing complex logic to retrieve data as an input into your analytical tool? Do you need to join data on the fly across data sources? Do you have the need for a local sandbox to play with your financial data?

Our Data Access & Manipulation Layer allows financial modelers to manipulate large datasets in their native analytical language of choice including Matlab, SAS, R, and Python.

Create and Manage Proprietary Data within your Data Fabric with our Derived Data Manager.

Can you automatically re-compute your derived data when underlying data is changed? Do you know the version of the data used to compute an alpha score that you traded on? Are you able to capitalize on the smart data and code others have written within your organization?

Our Derived Data Manager allows you to re-use computations, scores, or items across all major analytical packages. Our solution will track your derived data into a searchable library of data items along with providing detailed statistics and the data lineage of each item.