---
title: "OPRA data capture and storage"
description: "One of the industry's most demanding time-series workloads: 500GB+ captured per trading day, available within 90 minutes of session close."
canonical_url: https://sumantic.ai/work/opra-data-capture-and-storage/
last_updated: 2026-06-17
---

# OPRA data capture and storage

Options market data - Delivered. One of the industry's most demanding time-series workloads: 500GB+ captured per trading day, available within 90 minutes of session close.

- **500GB+** -- captured per trading day
- **20+** -- concurrent data endpoints
- **90 min** -- from session close to availability

**Challenge**

Capture, process, and monetize one of the highest-velocity datasets in capital markets -- the OPRA options feed -- without ballooning infrastructure cost.

**Solution**

A kdb+ realtime and historical store with hot/cold zoning by access frequency, pre-session processing, and advance index creation. The design supports on-the-fly statistics and dynamic inputs while holding total cost of ownership down. A flexible migration API and knowledge transfer throughout kept the client's team in control.

**Outcome**

Delivered in 18 months with the first users migrated at six. Analytics that were previously impossible are now routine, and the platform is future-proofed against continued data-volume growth.

Stack: C/C++, kdb+, CUDA, Custom multi-channel feed handler.

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Canonical HTML: https://sumantic.ai/work/opra-data-capture-and-storage/