Query the Data Delivery Network

Query the DDN

The easiest way to query any data on Splitgraph is via the "Data Delivery Network" (DDN). The DDN is a single endpoint that speaks the PostgreSQL wire procotol. Any Splitgraph user can connect to it at and query any version of over 40,000 datasets that are hosted or proxied by Splitgraph.

For example, you can query the maryland_real_property_assessments_fields table in this repository, by referencing it like:


or in a full query, like:

    ":id", -- Socrata column ID
    "data_type", -- Text, Number, Percentage, Money, URL, or Location
    "field_order", -- This is the order in which fields (columns) are shown in the Real Property dataset.
    "mdp_field_name", -- For fields which the Maryland Department of Planning (MDP) includes in its Real Property products, MDP's field names are listed here.
    "sdat_field_number", -- The primary source for the Real Property dataset is the State Department of Assessments and Taxation (SDAT). Most fields in the Real Property dataset correspond to an SDAT field number. Additional fields created by MDP and the Department of Information Technology (DoIT) do not have SDAT field numbers.
    "field_name", -- Each field listed below corresponds to a column in the Real Property dataset. There are currently 222 public fields and 9 private fields, 231 fields total. The 9 private fields show property owner information. If you wish to access this information please contact
    "api_field_name" -- All fields in the Real Property have an automatically generated API field name. This information is also available in the Developer documentation for the Real Property dataset (
LIMIT 100;

Connecting to the DDN is easy. All you need is an existing SQL client that can connect to Postgres. As long as you have a SQL client ready, you'll be able to query opendata-maryland-gov/maryland-real-property-assessments-fields-w8th-47fz with SQL in under 60 seconds.

This repository is an "external" repository. That means it's hosted elsewhere, in this case at When you queryopendata-maryland-gov/maryland-real-property-assessments-fields-w8th-47fz:latest on the DDN, we "mount" the repository using the socrata mount handler. The mount handler proxies your SQL query to the upstream data source, translating it from SQL to the relevant language (in this case SoQL).

We also cache query responses on the DDN, but we run the DDN on multiple nodes so a CACHE_HIT is only guaranteed for subsequent queries that land on the same node.

Query Your Local Engine

Install Splitgraph Locally
bash -c "$(curl -sL"

Splitgraph Cloud is built around Splitgraph Core (GitHub), which includes a local Splitgraph Engine packaged as a Docker image. Splitgraph Cloud is basically a scaled-up version of that local Engine. When you query the Data Delivery Network or the REST API, we mount the relevant datasets in an Engine on our servers and execute your query on it.

It's possible to run this engine locally. You'll need a Mac, Windows or Linux system to install sgr, and a Docker installation to run the engine. You don't need to know how to actually use Docker; sgrcan manage the image, container and volume for you.

There are a few ways to ingest data into the local engine.

For external repositories (like this repository), the Splitgraph Engine can "mount" upstream data sources by using sgr mount. This feature is built around Postgres Foreign Data Wrappers (FDW). You can write custom "mount handlers" for any upstream data source. For an example, we blogged about making a custom mount handler for HackerNews stories.

For hosted datasets, where the author has pushed Splitgraph Images to the repository, you can "clone" and/or "checkout" the data using sgr cloneand sgr checkout.

Mounting Data

This repository is an external repository. It's not hosted by Splitgraph. It is hosted by, and Splitgraph indexes it. This means it is not an actual Splitgraph image, so you cannot use sgr clone to get the data. Instead, you can use the socrata adapter with the sgr mount command. Then, if you want, you can import the data and turn it into a Splitgraph image that others can clone.

First, install Splitgraph if you haven't already.

Mount the table with sgr mount

sgr mount socrata \
  "opendata-maryland-gov/maryland-real-property-assessments-fields-w8th-47fz" \
  --handler-options '{
    "domain": "",
    "tables": {
        "maryland_real_property_assessments_fields": "w8th-47fz"

That's it! Now you can query the data in the mounted table like any other Postgres table.

Query the data with your existing tools

Once you've loaded the data into your local Splitgraph engine, you can query it with any of your existing tools. As far as they're concerned, opendata-maryland-gov/maryland-real-property-assessments-fields-w8th-47fz is just another Postgres schema.

Related Documentation: