Compare/Massive vs Databento
Updated October 2026

Massive vs Databento

Massive covers stocks, options, indices, futures, forex, and crypto on one key, with flat monthly plans, unlimited calls, and US stock trades back to 2003. If you only need L2 or L3 order book data, or CME futures depth back to 2010, Databento specializes in that.

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Massive leads on

  • Price
  • Stock history
  • Forex and crypto
  • Fundamentals
  • AI agents
  • Commercial use

Databento leads on

  • Order book depth
  • Futures history
  • Options history

What is Massive

Massive is a market data API for US stocks, options, indices, and futures, plus forex and crypto. It delivers data over REST, WebSockets, S3 flat files, and an MCP server.

What is Databento

Databento is a market data provider that sells normalized data from direct exchange feeds, priced per GB for history or on monthly plans.

Choose Massive if

  • You backtest on US stock data from before 2018.
  • You want a flat monthly bill, not per-GB or per-message charges.
  • You need forex, crypto, fundamentals, or news next to your market data.
  • You want commercial use without an annual contract.

Choose Databento if

  • You need L3 (market by order) or L2 (MBP-10) order book data.
  • You research futures microstructure and need CME depth back to 2010.
  • You want to pay per GB for a one-time historical pull.
  • You need a cross-connect or cloud interconnect.

Feature by feature

Massive vs Databento, feature by feature
FeatureMassiveDatabento
PriceMassive leads: $29, $79, or $199/mo per market, with unlimited API calls on every paid planUsage-based (per GB for history), or Standard at $199/mo. Plus (from $1,750/mo) and Unlimited (from $4,500/mo) are annual contracts through sales[1]
Free planFree plan per market: end-of-day data, 2 years of history, 5 calls/min$125 in historical data credits that expire after 6 months[1]
Stock historyMassive leads: 20+ years, with trades and quotes back to 2003Since 2018[2]
Order book depthTrades, NBBO quotes, and aggregates. No L2 or L3 order bookDatabento leads: L3 (market by order) and L2 (MBP-10) from proprietary exchange feeds[3][6]
Futures historyCME, CBOT, NYMEX, and COMEX. Real-time on Futures Advanced, $199/mo, with 7+ years of historyDatabento leads: CME Globex (CME, CBOT, NYMEX, COMEX) since 2010, plus ICE, CFE, and Eurex futures[5][7]
Options history5+ years on Options AdvancedDatabento leads: OPRA since 2013. Standard includes 1 year of L1 history, and usage-based or Unlimited covers the full history[4]
Forex and cryptoMassive leads: Forex and crypto, real-time from $49/moNo spot forex or crypto. CME FX futures only[6]
FundamentalsMassive leads: Financials and ratios on Stocks Advanced or a $29/mo add-on. SEC filings, insider trades, 13-F holdings, short interest, and economic data on every Stocks plan, including the free one. Analyst estimates, Benzinga news ($99/mo), and ETF holdings as add-onsNo fundamentals or news. Corporate actions and a security master[6]
Data deliveryREST, WebSockets, and S3 flat filesHistorical HTTP API, live streaming API, batch downloads, and cross-connects[6]
SDKsPython, JavaScript, Go, and Kotlin/JVM, which also works from JavaPython, C++, and Rust[6]
AI agentsMassive leads: Official MCP server at mcp.massive.comNo official MCP server listed[6]
Commercial useMassive leads: Self-serve Business plans: Currencies $999/mo, Options $1,999/mo, Stocks $2,499/moStandard is personal use on up to 2 devices. Commercial use is on Plus or Unlimited[1]

Where they differ

Market breadth vs order book depth

Most apps that chart prices, run backtests, or answer an agent need trades, quotes, and bars. Massive has every US trade and NBBO quote across stocks and options, plus futures, indices, forex, and crypto. It does not sell L2 or L3. Databento does: history from Nasdaq, NYSE, Cboe, and CME, and real-time US equities depth from Nasdaq TotalView. Queue-position strategies belong on Databento.

How the bill works

Databento charges per GB for history, and Plus and Unlimited are annual contracts. That is cheap for one big pull. A Massive plan costs the same whether your app calls the API ten times a day or ten thousand.

Stock history

Databento lists US equities from 2018. Massive goes back to 2003, so your backtests can include the 2008 financial crisis.

Futures history

Databento may be the better choice here: CME Globex data back to June 2010, against 7+ years on Massive futures plans.

Pricing

Prices in USD per month, from each vendor's public pricing pages on October 23, 2026. Check Databento's site before you buy.

Price examples, Massive vs Databento
What you needMassiveDatabento
Real-time US stocks, personal use$199/mo (Stocks Advanced), unlimited calls$199/mo (Standard), with 1 year of L1 history and 1 month of L2 and L3[1]
US stock trades from 2010Included in Stocks Advanced, $199/moNot available. Equities history starts in 2018[2]
Commercial use in your productStocks Business $2,499/mo or Options Business $1,999/mo, monthlyPlus from $1,750/mo or Unlimited from $4,500/mo, annual contract through sales[1]

Moving from Databento

Example: daily AAPL bars for January 2024

Databento[8][9]Python
import databento as db

client = db.Historical("YOUR_API_KEY")
df = client.timeseries.get_range(
    dataset="EQUS.SUMMARY",
    schema="ohlcv-1d",
    symbols=["AAPL"],
    start="2024-01-02",
    end="2024-02-01",
).to_df()
MassivePython
from massive import RESTClient

client = RESTClient("YOUR_API_KEY")
bars = list(client.list_aggs("AAPL", 1, "day", "2024-01-02", "2024-01-31"))

Bar fields

Daily bar fields, Databento and Massive
FieldDatabentoMassive
Timestampts_event (Unix nanoseconds, bar start, UTC date)t (Unix milliseconds, bar start)
Openopen (fixed-point, 1 unit = 1e-9)o
Highhighh
Lowlowl
Closeclosec
Volumevolumev
VWAPNone. Build it from tradesvw
Trade countNone. Build it from tradesn
  • Databento end dates are exclusive, so January ends at 2024-02-01. Massive end dates are inclusive.
  • Databento EQUS.SUMMARY bars are unadjusted. Massive bars are split-adjusted unless you set adjusted=false, so set it to false when you compare the two.
  • You do not need to move everything. Keep Databento for order book work and use Massive for history, options, and the other asset classes.

Switch with an agent

Paste this into Claude Code, Cursor, Codex, or any coding agent. It finds your Databento calls and ports them to Massive.

Find every place my project calls Databento. Switch those calls to the Massive REST API. Read https://massive.com/docs/llms.txt for endpoints and auth, and read the API key from the MASSIVE_API_KEY environment variable. Keep my function signatures and data shapes the same, and list anything Massive does not cover.

The ported code calls the REST API directly. The Massive MCP server is optional, for checking real responses while the agent works. Massive also publishes skills and plugins for coding agents.

Questions

Is Massive or Databento better for historical US stock data?
For depth of time, Massive: trades and quotes back to 2003, against 2018 for Databento. For depth of book, Databento.
How does Databento pricing work?
Per GB for history, starting with $125 in credits, or $199/mo for Standard. Plus starts at $1,750/mo and Unlimited at $4,500/mo, both annual contracts through sales.
Why do daily bars differ between Massive and Databento?
Different defaults. Databento EQUS.SUMMARY bars are unadjusted, with UTC dates. Massive daily bars are split-adjusted unless you pass adjusted=false. Match the setting before you compare.
Does Massive have Level 2 or Level 3 order book data?
No. Trades, NBBO quotes, and aggregates. For L2 or L3, Databento may be a better fit.

Sources

Databento details come from Databento's own public pages, checked on October 23, 2026, and may have changed since. Massive details come from the Massive plans API on October 22, 2026. "Not listed" means we did not find it on Databento's site. Massive wrote this page. If something is wrong, tell us and we will fix it. Databento is a trademark of its owner, and Massive is not affiliated with Databento.

  1. Databento pricing
  2. Databento US equities
  3. Databento US equities catalog
  4. Databento OPRA.PILLAR dataset
  5. Databento CME Globex MDP3 dataset
  6. Databento documentation
  7. Databento datasets
  8. Databento timeseries.get_range
  9. Databento OHLCV schema
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