Transform massive data and analytics into usable content and insight
From Weeks to Hours
“Post-trade analysis used to take weeks but since relying on TickVault and AWS, we can look at both current and historical data in just a few hours.”
-Pascal Bergeron, Director of Algorithmic Trading National Bank of Canada
80% More Insights
“TickVault helped DXC Fixnetix leverage analytics and data science capabilities to quickly implement an Azure platform, ingest marketplace data, and develop use case algorithms within.”
-Thomas B. Demchak, Banking & Capital Markets Technologist DXC Technology
Ingest terabytes to petabytes
“Working with TickSmith allows us to deliver data that goes back to the 1970s, cost-effectively. With TickVault, our clients now have a simple way to access the data they need.”
-Craig Mohan, Managing Director of Market Technology CME Group
What can you achieve with TickVault?
The open nature of TickVault makes it easier than ever for users and partners to build and configure solutions for various use cases. Our platform integrates within your existing infrastructure to make shared data the center of your architecture. Take a Big Data approach to managing your data: deploy on premise, on cloud, or both.
Self-serve data management
Future-proof data lake
Secure and manageable workflow
Continuous analytics
Easy-to-use visualizations
A solution for financial institutions
Explore your data in deeper and greater context
Exchanges
Easily store, sell and distribute valuable historical data in a fully customized storefront/online webstore
Data Vendors
Accumulate and manage Terabytes to Petabytes of structured and unstructured data
Hedge Funds
Centralize alternative data and leverage valuable intelligence by facilitating data mining and foreseeing trends
Trading Desks
Automate low-value, high-effort tasks like data preparation in order to focus on in-house, custom, backtesting and predictive analytics
Trading Networks
Centralize your data for better analytics and add a number of value-add services to your offerings
Regulators & SROs
Effectively manage and analyze mountains of financial data for market surveillance, investigation, enforcement, and more
Risk Departments
Accumulate data in a single repository and engineer the data so that strict rules around market risk regulations are easy to meet
Custodian Banks
Normalize portfolio data and positions to provide more comprehensive analytics, strengthen client relationships and provide more features
Compliance Groups
Facilitate market data collection, data quality, and reporting in order to easily meet current and future compliance regulations such as MiFID, FRTB, etc.
Data Scientists
Run machine learning and AI algorithms more efficiently with transformed and engineered data in order to better understand clientele
