Icon for Socrata external plugin

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 protocol. 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 contract_awards_in_investment_project_financing table in this repository, by referencing it like:


or in a full query, like:

    ":id", -- Socrata column ID
    "supplier_country", -- The nationality of awarded firms is based on place of registration, which may or may not be the same as the country of origin.   For the country where the work is being performed, or the goods are being delivered, use Borrower Country.
    "supplier", -- The name of the contractor, supplier or consultant who submitted the winning bid or proposal. The name of the manufacturer, Joint Venture partners, sub-contractor, and/or sub-consultants may not appear.
    "borrower_contract_reference_number", -- Contract reference number used by Borrower.
    "wb_contract_number", -- Internal World Bank Contract number.
    "procurement_method", -- The method used for selecting a contractor, supplier or consultant.  The method used depends upon the Procurement Category. 
    "project_id", -- A Bank project is referenced by a project ID (Pxxxxxxx).  More than one loan, credit, or grant may be associated with one Project ID. 
    "supplier_contract_amount_usd", -- All contract values reflect committed (not disbursed) amounts, and are in US dollars, based on the US Treasury's rate of exchange at the time of the Bank's no objection to the contract award.  
    "project_name", -- Short descriptive project name.
    "fiscal_year", -- The fiscal year begins on July 1st of the previous year and runs through June 30th of the designated year.
    "borrower_country_code", -- Country Code according to the World Bank country list. Might be different from the ISO country code.
    "borrower_country", -- Country to which loan or credit has been issued. Loans to the IFC are included under the country “World”.
    "contract_description", -- Contract description as it appears in the signed agreement.
    "supplier_country_code", -- Supplier Country Code according to the World Bank country list. Might be different from the ISO country code.The nationality of awarded firms is based on place of registration, which may or may not be the same as the country of origin.  
    "contract_signing_date", -- Date when the contract was signed.
    "region", -- Country lending is grouped into regions based on the current World Bank administrative (rather than geographic) region where project implementation takes place. The Other Region is used for loans to the IFC.
    "procurement_category", -- Describes procurement category.
    "rvw_type", -- The Bank reviews whether the Borrower’s procurement process complies with the legal agreement and the Procurement Regulations for Borrowers either prior to or post procurement.
    "as_of_date", -- Represents the date when this snapshot was taken.
    "major_sector" -- Indicates major sector for specific contract.
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 finances-worldbank/contract-awards-in-investment-project-financing-kdui-wcs3 with SQL in under 60 seconds.

This repository is an "external" repository. That means it's hosted elsewhere, in this case at When you queryfinances-worldbank/contract-awards-in-investment-project-financing-kdui-wcs3: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"

Read the installation docs.

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 \
  "finances-worldbank/contract-awards-in-investment-project-financing-kdui-wcs3" \
  --handler-options '{
    "domain": "",
    "tables": {
        "contract_awards_in_investment_project_financing": "kdui-wcs3"

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, finances-worldbank/contract-awards-in-investment-project-financing-kdui-wcs3 is just another Postgres schema.