Future-proof
OneTick is time-series database that is tolerant of schema changes meaning there is no need to update the historical schema to adapt to a later change.
From real-time collection to elastic storage and compute, to sophisticated queries and query-building tools, to streaming analytics, to visual dashboard design tools, to advanced visualizations (e.g. dynamic grids, zoomable charts, and order-book heat maps), to finished MAR and MiFID II regulatory solutions.
OneTick comes with pre-defined data models for common financial data objects such as order book changes and levels. OneTick comes with a general storage model that is easily able to represent all stages in an order's life cycle, including, for example, unexecuted orders and order amends.
OneTick is able to represent and store complex financial records of all types, and has the flexibility to handle changes to record formats over time without the need to re-normalize data.
OneTick records can include unstructured data such as text and binary data strings.
OneTick supports a rich modeling language and tools for data model design.
Databases can be searched using a highly flexible query language based on a graph paradigm that is much more powerful than the relational database model
Efficient for high volumes of data. It can process millions of records per second in a highly parallel manner, potentially load-balanced across multiple cores and database hosts
Covers the investment life cycle, including customizable pre-trade decision support, real-time monitoring for ‘held’ and ‘not held’ order flows, and historic analysis
Flexible Timestamps - OneTick databases support millisecond, microsecond, and nanosecond timestamp precision, and multiple timestamps per record
Query language makes it easy to manage and join data collected in multiple timezones with differing timestamp precisions
OneTick is time-series database that is tolerant of schema changes meaning there is no need to update the historical schema to adapt to a later change.
We use OneTick databases to provide customers with access to global normalized market data, including full depth of book data, for some markets going back 25 years.
Featuring a massively scalable, fault-tolerant architecture. It also integrates with Hadoop and Apache Sparc and can be used in the Amazon AWS environment
OneTick is already being used for regulatory records retention by a number of sophisticated clients, including an options exchange and the London office of a global bank which is using it now for MAR records retention
MiFID II requires the use of 'compliance' storage, i.e. write once, read many or WORM storage