All About Our Platforms

Our Platforms Solve Real-World, Data Intensive Problems

Abstract Data Engineering

Normalizes structured and unstructured data into common formats and ensures that the data feeding into your systems is of the highest quality and usability. This greatly reduce the time needed to plan and perform analytics, compliance calculations, or machine learning.

Future Proof

Engineered with big data technology to be flexible, secure, and is easy to scalable and was designed to easily interact with your users, analytical/AI/machine learning and BI tools.

Complete Stack, Completely Modular

Divided into stand-alone modules, it gives you and your firm the ability to pick and choose what you deem is necessary and integrate those parts into your infrastructure.

Secure & Built for Capital Markets

Designed to run securely in your infrastructure, and optimized for cloud deployment, our platforms are used to manage both public and private data. Trusted by Exchanges and Banks since 2013.

We're Powered by “Big Data” Technologies

Data Lake

All our platforms are elastic and use autoscaling in order to optimize compute/processing time while minimizing infrastructure costs. They also leverage use object storage in a highly secure configuration and decouple storage from processing. Clients also benefit from our recognized Cloud expertise to find the right balance between cost and performance.

Scalability, volume, velocity and variety

Our platforms are built using the advanced technologies including Spark and Kafka. We have the experience and knowledge to mix-and-match technologies and modules as appropriate, and we continuously advance and evolve our platforms to ensure it remains on the cutting edge.

Our Modular Approach

TickSmith_Product_Diagram
Robust Data Ingestion & Distribution
TickSmith has also recognized the need for robust data ingestion and distribution mechanisms within our products. Whether your firm needs to ingest 3rd party data and distribute it to users internally, sell data to external parties, pool and analyze like-data from multiple sources, or distribute TCA reports to a client, your end user will have a variety of different delivery options.
Data Access Methods
Our products can make the data available via Web Purchasing Store, Web Visualization Portal, File Browser, REST and Python APIs, Virtual SFTP, or S3 to S3 transfer.
Capital Market Analytics
Along with storing an original copy of the source data, our TickVault Analytics Product can create derived datasets from market data sources. Whether your market data is Market By Price or Market By Order, our product can create analytics rollups based on a configurable time interval.