tracardi 0.6.9

Tracardi Customer Data Platform backend

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Tracardi Open-source Customer Data Platform

Tracardi is a open-source Customer Data Platform.

TRACARDI is an API-first solution, low-code / no-code platform aimed at any e-commerce business that wants to start using user data for marketing purposes. If you own a brand new e-commerce platform or a legacy system you can integrate TRACARDI easily. Use TRACARDI for:

• Customer Data Integration - You can ingest, aggregate and store customer data from multiple sources in real time at any scale and speed due to elastic search backend.

• Customer Data Modelling - You can manage data. Define rules that will model data delivered from your page and copy it into user profile. You can segment customers into custom segments.

• User Experience Personalization - You can personalize user experience with real-time customer segmentation and targeting.

• Profile Unification - You can merge customer data from various sources to single profile. Auto de-duplicate customer records. Blend customers in one account.

• Automation - TRACARDI is a great framework for creating marketing automation apps. You can send your data to other systems easily

Screenshots

Read-map

Version 0.5.1

Feature freeze. Fixes and testing.

• Review todos
• Performance tests
• Scaling test
• Unit tests
• Integration tests
• Full profile, event, and sessions details page
• Project management: Feature list for contributors
• UX: Simplify selecting event for debugging
• Console log
• Search

Version 0.6.0

Use cases

• Proof of concept for dynamic front-end loading

Features:

• Workflow profiling

• Every time segments raises error log that error to tracardi-console-log index - so we can see that this segment is not right.

• Standard Error Reporting, showing console-log ang logging to stdout

• Tracardi user profile domain object

• Setting user and password from interface (user profile), use keycloak

• Forgot password functionality

• Workflow parameters – Workflow has its own parameters that can be copied to action parameters. This allows for making workflow as a closed solution with own configuration. With this feature a ready to use workflows could be defined.

• Reading data from external sources – use source configuration to fetch data

• If Action – Should use plain/text editor not application/json

• GraphQL Endpoint for profile fetching. ???

• Profiler as part of debugger

• Refactor menu to take less space

• Finish manual

• Error log - console log for developers

• text/plain - editor in config

• Editable name for node in flow

• Scheduler

Installation

The easiest way to run Tracardi is to run it as a docker container.

In order to do that you must have docker installed on your local machine. Please refer to docker installation manual to see how to install docker.

Dependencies

Tracardi need elasticsearch as its backend. Please pull and run elasticsearch single node docker before you start Tracardi.

You can do it with this command.

docker run -p 9200:9200 -p 9300:9300 -e "discovery.type=single-node" docker.elastic.co/elasticsearch/elasticsearch:7.13.2

Start Tracardi API

Now pull and run Tracardi backend.

docker run -p 8686:80 -e ELASTIC_HOST=http://<your-laptop-ip>:9200 tracardi/tracardi-api:0.6.0

Tracardi must connect to elastic. To do that you have to set ELASTIC_HOST variable to reference your laptop's IP.

Start Tracardi GUI

Now pull and run Tracardi Graphical User Interface.

docker run -p 8787:80 -e API_URL=http://127.0.0.1:8686 tracardi/tracardi-gui:0.6.0

Log-in

Visit http://127.0.0.1:8787 and login to Tracardi GUI with default username: admin and password: admin.

Running Tracardi with docker compose

docker-compose up

This will build and install Tracardi and all required dependencies such as elastic search on your computer. Hence that this type of setup is for demonstration purpose only.

Tracardi GUI

Open browser and go to http://127.0.0.1:8787 Login with default user admin and password admin.

Scaling Tracardi for heavy load.

TRACARDI was developed with scalability in mind. Scaling is as easy as scaling a docker container. No additional configuration is needed.

Development tracking

TRACARDI is #buildinpublic that means that you can track and influence its development.

Take a look at YouTube channel and see what Tracardi can do for you.

Call for contributors

We are looking for contributors. Would you like to help with Tracardi development fork Tracardi or contact us at [e-mail] or any social platform.

Support us

If you would like to support us please follow us on Facebook or Twitter, tag us and leave your comments. Subscribe to our Youtube channel to see development process and new upcoming features.

Spread the news about TRACARDI so anyone interested get to know TRACARDI.

We appreciate any help that helps make TRACARDI popular.

Donate

You can support us on BOUNTY-SOURCE

License

Tracardi is available under MIT with Common Clause license.