Webinar Description:

In this webinar, OneTick product owner Peter Simpson presents the technical features and performance benchmarks of the OneTick 1.27 major release.

A central theme of the update is the transition toward partitioned Parquet as the primary database storage format, which provides significantly faster query performance and reduced storage footprints compared to traditional proprietary archives.

Simpson details various technical enhancements, including vector processing for faster row block handling, new special symbols for efficient table scans, and expanded SQL and Python API capabilities.

The presentation also covers the Model Context Protocol (MCP) server for natural language querying, improved real-time data collection for FIX and Kafka, and new tiered storage functionality.

The session concludes with a Q&A addressing topics such as data conversion tools, GDPR compliance settings, and integration with KDB environments.

Topics Include:

• Partitioned Parquet as Our Primary DB Storage Format

• Benchmark Testing Results - Performance

• Benchmark Testing Results - Storage

• Documentation Access

• MCP

• Vector (Block) Processing

• Table Scans

• Tiered Storage

• Distributed Loading.

• API Access

• SQL Syntax

• Python Syntax

• Book Analytics

• Corporate Actions

• Iceberg

• Real Time Collection

• Entitlement

• Dashboard Enhancements

• Kdb Integration

• Decimals

• Compatibility

Watch the Recording:

More About Our Speaker:

Peter Simpson | OneTick Product Owner

Peter is an experienced Analytics Product Manager, with a history of working in and with the world’s biggest banks, brokers, fund managers and exchanges in London & New York. He provides tick database analytics consulting to financial customers including Exchange Surveillance Order Book Analysis and Market Participant Quality Statistics, Broker Surveillance Order Book Analysis, Tick Database Analytics Training, and Data Quality Analysis.