gathr.ai

Before working with gathr.ai, we had every kind of data issue—drift, late events. gathr.ai made our pipelines resilient without overengineering. Easy to create data engineering pipelines. gathr.ai has reduced manual efforts of creating Data pipelines. Using multiple data sources, we are able to process and ingest data to the respective emitters.

1. For ingesting multiple data sources to multiple data emitters.
2. Creating ETL pipelines in easier manner.
3. Easier to collaborate with multiple products.
4. No manual efforts, as it provides drag and drop feature for creating and maintaining data pipelines.
5. Easy to play with structured and unstructured data and schemas.

We use Gathr.ai primarily for data integration across a variety of source systems— internal databases, SaaS applications, marketing tools, etc. The goal is to bring all this data together in one place to power multiple downstream use cases. The platform’s comprehensive library of connectors has saved our engineers a lot of time and supported our pipeline development efforts.

It works particularly well for ingesting both batch and real-time data. We've used it in scenarios where rapid integration was critical — and it held up well. It's also adept at handling a mix of structured and unstructured data.