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. Eurex EOBI dataset

    Data for Eurex, including all schemas (MBO, MBP, ohlcv, etc.).

    Renan Gemignani

    11

  2. Cboe FX ITCH (forex, foreign exchange)

    All orders plus last look quotes from 35 major banks and non-bank LPs, on one of the largest FX venues.

    Tessa Hollinger

    12

  3. 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

    20

  4. European Energy Exchange (EEX) data

    From EEX CEF Core feed EEX EOBI feed. This will include order-by-order data as well as less granular formats, such daily settlements, definitions, etc.

    Carter Green

    8

  5. Official Java client library

    Make our historical and live APIs easier to integrate from Java.

    Carter Green

    5

  6. Provide implied book on CME Globex MDP 3.0

    Databento's feed is based on CME's MBO feed and we do not overlay implied depth from the MBP feed. This creates the appearance of less liquidity and wider spreads compared to many vendors that are only using the MBP feed. Overlaying MBO and MBP creates several complications; we think using the direct book is better for signal generation and execution, and prefer not overlay implied MBP over MBO to form a composite book. At this time, users who are sensitive to implied orders can impute the implied book themselves. That said, we may expose the implied book for users who find this useful and prefer to compare our data to another reference.

    Tessa Hollinger

    2

  7. Add databento-python to conda-forge

    https://conda-forge.org/ https://anaconda.org/

    Tessa Hollinger

    0

  8. 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

    1

  9. Batch download option

    Hi Databento team, I am a regular user of databento and the batch download feature. Could you consider adding the below features? 1# Currently there are options available to pick from - Last month, last 3 months, Last 6 months, Entire history. Could you add "Most recent day"? This should ideally help me get most recent (1) day worth of data for the data set being downloaded. 2# Recurring batch download - Once I do a batch download for a dataset, I hope to have a recurring option which makes available a file to download everyday (either via UI or API) Thanks in advance Madhavan

    Madhavan G

    0

  10. 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)

    Renan Gemignani

    4

  11. CFE Book Depth

    Full depth of book feed for Cboe Futures Exchange (CFE). CFE contains volatility futures and corporate bond index futures, such as VIX futures (VX, VXM).

    Zach Banks

    5

  12. WebSocket API for live data

    To extend support to browser-based applications.

    Tessa Hollinger

    3

  13. 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

    11

  14. Official C# client library

    This client library makes all our historical and live features easier to integrate in C# on Windows, Linux, and Mac OS. C# is currently already supported through our HTTP API and Raw TCP protocol, which are both language-agnostic.

    Tessa Hollinger

    9

  15. ICE iMpact: ICE US Futures

    For ICE US futures including US softs and financials, such as cocoa, cotton, sugar, frozen orange juice, canola, world cotton, US grains, precious metals, MSCI indices, all currency pairs, and US Dollar Index. This was previously tied to this ticket for ICE Futures Europe and ICE Endex. However, we've decided to release ICE Futures Europe and Endex first separately from ICE US.

    Tessa Hollinger

    10