Tardis.dev is the best-known specialist for tick-level historical crypto data, with deep multi-year history and a replay-focused API. CryptoHFTData offers the same families of high-frequency data — L2 order books, trades, liquidations, open interest, and funding — for free, with a simpler download model.
Competitor details reflect what Tardis.dev publicly described as of July 2025. Always verify current products, coverage, and pricing with the vendor before purchasing.
Tardis.dev publicly describes 6+ years of tick-level history across a long list of venues, which CryptoHFTData cannot match yet: our history starts in mid-2025.
Feature
CryptoHFTData
Tardis.dev
L2 order book data
Free, full L2 order book updates (snapshots + deltas)
Paid; tick-level L2 (and L3 on some venues)
Trades, liquidations, derivatives metrics
Free tick trades, liquidations, open interest, funding/mark price
You want L2 order book, trade, liquidation, open interest, or funding data without paying for it.
Your research targets mid-2025 onward, so deep history is not a blocker.
You prefer simple hourly Parquet files you can pull with Python, curl, or an S3 client.
Choose Tardis.dev when
You need tick history going back many years (pre-2025).
You need a venue or product CryptoHFTData does not cover yet.
You need raw exchange messages rather than a normalized schema.
FAQ
Frequently asked questions
Is CryptoHFTData really free where Tardis.dev is paid?
Yes. CryptoHFTData currently offers institutional-grade L2 order book, trade, liquidation, open interest, and mark price/funding data at no cost. Tardis.dev publicly lists paid plans for its historical datasets. Always check both vendors' current terms before committing.
When is Tardis.dev the better choice?
When you need deep history. Tardis.dev describes 6+ years of tick-level data; CryptoHFTData's history starts in mid-2025 and grows hourly from there.
Can I use both?
Many quant teams do: deep backtests on a paid archive, ongoing research and live-adjacent work on CryptoHFTData's free hourly files. The normalized Parquet schema makes it straightforward to maintain both pipelines.
Next
Evaluate the data yourself
The fastest way to compare vendors is to pull a real file: grab an API key, download an hour of L2 data, and replay it.