One data problem, three tools and glue code
Moving data usually takes several tools, each solving one slice of the problem, and someone maintaining the code in between.
- Automation tools are good at triggers and thin on shaping data.
- Managed ETL moves data one way.
- Reverse ETL moves data back out, and stops there.
- Glue code is the scripts in between that someone has to maintain.
Connect, activate, run
Partic takes you from a system to a live pipeline in three steps.
- Connect. Pick a system, or describe it to AI, and the connector is generated for you. Start with tools like HubSpot, Postgres, MySQL, MongoDB and Snowflake, and generate the rest.
- Activate. Add transformations and triggers, including change data capture.
- Run. Deploy, and the pipeline runs as a live API with monitoring and rollback.
Every system is both a source and a destination, so data moves in both directions.
AI Nexus: a chat that builds and fixes pipelines
AI Nexus is a chat inside Partic. Describe a system and it generates the connector. Ask for a pipeline in plain language and it builds it. When something breaks, it helps you find and fix the issue.
In an illustrative example, you type "Sync new Stripe customers to HubSpot." The connector is generated and the pipeline goes live as an API.
One platform, six jobs
Teams use Partic for ETL and ELT, system integration (iPaaS), reverse ETL, real-time streaming, ML and AI feature pipelines, and data acquisition.
The numbers Partic gives on its page: 5 minutes to the first live pipeline, 10× pipelines per environment and 100% of pipelines running as live APIs.
Partic was built by 10x Factory in 16 weeks, and it is part of the 10X Value practice.