Databento Alternative for Fundamentals Data: Why the Comparison Doesn't Quite Work

If you landed here searching "Databento alternative fundamentals data," the honest answer is short: Databento isn't a fundamentals vendor, so there's no direct swap to make. This page exists to orient you, not to manufacture a versus-battle that doesn't reflect what either product actually does.

What Databento actually sells

Databento is a market-data infrastructure company. Its business is tick data, order book (L1/L2/L3), OHLCV bars, and normalized historical/live feeds across exchanges and asset classes, delivered through APIs built for low-latency and research-grade market microstructure work. Pricing is usage-based (data volume, venue, subscription tier) — we're not going to quote a number here because we'd get it wrong the moment they change it. See their pricing page for current terms: https://databento.com/pricing.

That's a genuinely hard, valuable problem: normalizing exchange feeds, handling symbology changes, giving you clean historical order-book reconstruction. If you need trade-and-quote data, book depth, or bar aggregates across venues, Databento is a credible, well-regarded option. Nothing here is meant to undercut that.

What it doesn't do: fundamentals

Databento's catalog is built around market data — prices, volumes, order flow. It is not built to answer questions like "what did the company report as diluted EPS in its original 10-K filing, and when did that number become public?" That's a fundamentals data problem, and it's a different data pipeline entirely: SEC filings, XBRL tags, restatement tracking, fiscal-period alignment — none of which overlaps meaningfully with tick or bar data infrastructure.

So if you searched for a "Databento alternative" specifically because you need income statement, balance sheet, or cash flow figures for backtesting or screening, you're not looking for a competitor to Databento — you're looking for a fundamentals vendor, full stop. That's a different shopping list.

Where Tradevo Data fits

Tradevo Data is a narrow, honest-budget-tier fundamentals product. It is not a market-data vendor and does not compete with Databento on ticks, bars, or order books — we don't carry that data and won't pretend to.

What we do carry:

• Point-in-time US equity fundamentals sourced from SEC EDGAR (public domain).
• 5,189 US companies, 312,751 point-in-time rows, 7 core concepts (Revenue, NetIncome, Assets, StockholdersEquity, OperatingCashFlow, EPSDiluted, DilutedShares).
• Up to 12 years of fiscal history, annual only (10-K + 10-K/A) — no quarterly yet, that's on the roadmap.
• Every row carries first_filed (the date the value became public), original_value (first-reported, point-in-time-safe), latest_value (current revision), a restated flag, and qa_status. 18,723 restatements are labeled in the dataset.
• One JSON endpoint (/v1/fundamentals?ticker&as_of[&concept]) with server-side as_of filtering (first_filed <= as_of, same-day inclusive) — this is what makes it safe for backtests, since you query exactly what was known on a given date, not what's known today.
• Full bulk access included in the price: /v1/download (the whole gzipped CSV) and /v1/snapshot?as_of (a whole-universe cross-section for any date). Parquet output is roadmap, not shipped yet.
• $49/mo, 5,000 requests/day, instant key after Stripe checkout, cancel anytime.

On the 40-company free sample, measured lookahead is a mean of 43.4 days (max 61) on the reliable-filing rows. That number is scoped to the sample only — we haven't measured (and don't claim) an equivalent figure across the full 5,189-company dataset.

If you want the mechanics of why this matters for backtests, we wrote it up here: /blog/lookahead-bias-fundamental-backtests and /blog/point-in-time-fundamentals-data.

Fair comparison table

Because the products solve different problems, a head-to-head score isn't meaningful. Here's what a fair side-by-side actually looks like:

When Databento (or a similar market-data vendor) is the better choice

If your actual problem is order flow, execution quality, intraday price/volume reconstruction, or anything requiring tick or book-level granularity, you should be evaluating Databento, Polygon, or similar — not us. We don't carry any of that data, and buying fundamentals to solve a market-data problem would be a wasted subscription. Similarly, if you need fundamentals with quarterly granularity, non-US coverage, or Parquet delivery today rather than on a roadmap, Sharadar, Tiingo, or QuantConnect's datasets are credible options worth comparing — see their respective pricing pages for current terms. We're not claiming to be the only affordable point-in-time option, just an honest one within our current scope.

When to just build it yourself

If you only need a handful of tickers, a few concepts, and you're comfortable parsing XBRL from EDGAR directly, building your own point-in-time extraction pipeline is entirely feasible — EDGAR is free and public. The tradeoff is time: handling amendments, restatement logic, fiscal-period alignment, and edge cases (early filers, non-calendar fiscal years) takes real engineering effort to get point-in-time-safe. If that tradeoff is worth it for your use case, do it — we'd rather you know the option exists than pay us to avoid a weekend of parsing.

Try before you subscribe

You can inspect real point-in-time rows and the full methodology for free: github.com/christianpichichero-max/pit-fundamentals — 40 companies, 3,280 rows, no signup required. If it fits what you need, the full dataset and API are at https://tradevodata.com/?utm_content=alt-databento, $49/mo, cancel anytime.

Not investment advice. Verify any competitor's current pricing directly on their site before deciding — we deliberately don't quote it here.