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Retention arithmetic for a 2 TB per day feed at three compression ratios (illustrative inputs)

Answered against 22 years of US equities and 12 years of US options data and published with the query that produced it. This result is stored as of 2026-09-17, from How to Store Market Data PCAPs: Split, Compress.

as of series 3×4read in context →
Retention arithmetic for a 2 TB per day feed at three compression ratios (illustrative inputs) — 3 rows by 4 columns, computed from US exchange, SIP and OPRA data.
scenariogb_per_daytb_per_yeartb_two_years
ratio 3667166.7333.3
ratio 5400100200
ratio 825062.5125
Rows × columns
3 × 4
Computed
Completeness
No missing values
Source
US exchange, SIP and OPRA market data
Licence
Strasmore terms · free, no signup
Formats
JSON · CSV · the SQL below

What each column holds

Column definitions for Retention arithmetic for a 2 TB per day feed at three compression ratios (illustrative inputs), derived from the stored result.
ColumnTypeRangeNotes
scenario text 3 distinct values (ratio 3, ratio 5, ratio 8)
gb_per_day number 250 to 667
tb_per_year number 62.5 to 166.7
tb_two_years number 125 to 333.3

Computed from Strasmore's warehouse of US exchange, SIP and OPRA market data. Equity prices are delayed; options greeks and implied volatility are end-of-day. This result is stored, not recomputed on load — it is exactly the numbers that were returned on , and the query below is what returned them.

Run it yourself

This is the exact query behind the result above. Change a ticker, a date or a column and run it against the warehouse — no account, no key. The no-signup tier is smaller than the one this page was computed on; a query that reaches past it comes back saying which plan runs it.

SELECT
    concat('ratio ', toString(ratio)) AS scenario,
    round(raw_tb_per_day * 1000 / ratio) AS gb_per_day,
    round(raw_tb_per_day * sessions / ratio, 1) AS tb_per_year,
    round(raw_tb_per_day * sessions * 2 / ratio, 1) AS tb_two_years
FROM
(
    SELECT
        2 AS raw_tb_per_day,
        250 AS sessions,
        arrayJoin([3, 5, 8]) AS ratio
)
ORDER BY ratio
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