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Setup ApertureDB

Like a typical database, ApertureDB needs a server and a client for creating an application.

ApertureDB is offered as a public docker image or as SasS in form of a demo.

ApertureDB Server

Demo trial

You can do a quick trial of ApertureDB using one of our demo examples.

We currently offer a choice of pre-loaded datasets which lend themselves to specific use-cases. These use-cases are also provided as a collection of notebooks in jupyterlab environment.

This requires no setup, and is the quickest way to get interacting with ApertureDB

ApertureDB Client

Our Python client package is available to install via pip with source code in our repository. It comes with a command line utility called adb that's very useful when setting up.

To start using the database, regardless of how the server was setup, we need to establish a connection profile and validate that the SDK is able to connect to your DB.

pip install aperturedb

adb config create local

adb utils execute summary

ApertureDB server supports a JSON-based query language described in this documentation.

We have clients to talk to the ApertureDB server in both Python and C++. Both clients allow you to send JSON queries to the server and receive JSON responses.

Hello World Example

Try this quick start example with just images and some metadata, to test out the ApertureDB server.

Deploying Your Own Application

Once ApertureDB server and client are ready and you are ready to define your application:

  1. You can define your application schema,
  2. Ingest data, and
  3. Start querying and visualizing data.

Check out the adb command line tool for various ETL and query options.