Product roadmap

Submit dataset requests and feature ideas here. For bug reports, use our chat support or issues tracker instead.

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  1. Machine-readable news feed (live and historical)

    Historical and live market news.

    Renan Gemignani (Databento)

    1

  2. Real-time and historical index data

    Currently, indices are indirectly supported through tradable index instruments on CME futures, ETFs, etc. and we don't provide the index values (non-tradable) themselves. This may be sourced from a feed like the Cboe Global Indices Feed or NYSE Global Index Feed.

    Tessa Hollinger

    31

  3. Trading calendar information

    This feature would allow the user to request trading calendar information (such as trading session start/end times) via our API. This is especially useful when considering trading sessions that can span multiple UTC dates (and hence the possibility of having multiple trading sessions within a single day). Keywords: Market calendar, trading holidays.

    Renan Gemignani (Databento)

    6

  4. Consolidated US equities data

    Currently, equities is supported via individual prop feeds of each venue. While NASDAQ is sufficient for getting NBBO for most of the time, some users prefer something that will be more in line with actual NBBO from SIPs. This feature request tracks 3 possible modes of consolidation for both historical and live data: Databento server-side consolidation of multiple proprietary feeds Consolidated data from proprietary feed like Nasdaq Basic in lieu of SIP Consolidated data from CTA/UTP SIPs We plan on implementing 1-2 of these three options.

    Tessa Hollinger

    16

  5. Add Polars support to `to_df` method

    Could we add support to make the result of DBNStore.to_df a Polars dataframe as well? Perhaps the function signature could just be overloaded with a to_polars: bool argument. Something like: In Python @overload def to_df(self, to_polars: Literal[False]) -> pd.DataFrame: ... @overload def to_df(self, to_polars: Literal[True]) -> pl.DataFrame: ... Or, maybe to_df is split into two different functions to_pandas and to_polars. Either way, it would be helpful to avoid having to do pl.from_pandas(store.to_df().reset_index(drop=False)). Plus, Polars can convert to pyarrow-Pandas zero-copy, but not the other way around.

    Aidan L

    2

  6. Add dark mode

    Original request from Juan Linares: "Great product but please add dark mode." There are two separate parts to this: Dark mode for the portal and main website (databento.com, databento.com/portal) Dark mode for the docs We can consider this only after Q1 2025 since we're doing a major rebranding of our website which is expected to finish by early April 2025. The new colors will make it easier for us to implement a dark mode.

    Juan L

    3

  7. Example Liquidity Heatmap on MBO Data in Python

    Documentation for how to use the the order book from MBO data for visualizing the evolution of limit order book over time as heatmap. For instance every 10 seconds a snapshoot of the order book of historical 6E futures data is taken. Now a heatmap (exp.: Seaborn) is generated, showing price levels on y axis and timeincrements of 10 seconds on the x axis. The color intensity of the boxes depends on the size of the limitorders. Maybe this idea is an good example for implementing the heatmap with json, d3, ...

    Daniel B

    4

  8. JPX Futures

    It would be great if Japan Exchange Group (Nikkei 225, etc) could be supported. CME Nikkei 225 volume is too low.

    Michael Aaron B

    9

  9. Limited support for L2/L3/MBP-10/MBO on Standard plans

    The legacy live usage-based plans allowed users to access L2/L3 data. However L2/L3 were pulled from the Standard plan. One possibility to increase the value of the Standard plan is to offer limited access to L2/L3, perhaps gated by a quota on symbol subscriptions per account, etc.

    Tessa Hollinger

    5

  10. Australian Stocks with ASX and CBOE trades

    Australian Stocks with ASX and CBOE trades

    Reece P

    7

  11. FINRA TRACE data

    Real-time and historical FINRA TRACE data. Keywords: Real-time bond market transaction data, fixed income, asset-backed (ABS) and mortgage-backed securities (MBS), U.S. Treasury securities, U.S. Treasury notes, corporate bonds.

    Tessa Hollinger

    2

  12. gRPC API for Live Data

    For our live data, Databento plans on supporting two transport layers ("Raw" TCP, WebSocket) and two data encodings (DBN, JSON). This idea is for supporting a gRPC API for consuming live data. This would require both a new transport layer (gRPC-flavored HTTP/2) and a new data encoding option (Protocol Buffers).

    Zach Banks

    1

  13. Backfill Eurex (XEUR.EOBI) with extended history

    The Eurex dataset (XEUR.EOBI) has availability from 2025-03-10. This request is to backfill this dataset with more history. A source of this history has not been identified, we will update this ticket when/if it is accepted with details.

    Nicholas James Macholl

    3

  14. cancel subscription

    I'd like to cancel my subscription.

    Daehwan K

    0

  15. long wait for data

    hey ! im realizing this request is still going fater like over 10 days - am i doing something wrong? OPRA 1 Download details CMBP-1 • DBN • zstd • Direct download 2025-05-19 00:00 2026-05-19 00:00 Request ID OPRA-20260519-N35V6FN4BM Status Processing 9% Expires on Requested on 2026-05-19 05:33 AM

    Mark E

    0