How to choose the best Data Pipeline Tool

What is a Data Pipeline?

A data pipeline is a set of processes and tools used to transfer data from various sources, transform it into a usable format, and then store it in a destination location for further analysis or processing. It typically involves the use of software tools to automate the flow of data between different systems or stages of processing.

1. Connector library

The quality of a reverse ETL tool's connectors is only as good as the tool itself. Examine the connector library as well as the depth of the critical connectors.
Learn more about Crosser Connectors here →

2. Event-Driven Integrations

Event-driven architecture allows you to create powerful real-time integrations. Instead of waiting for a scheduled sync, your pipelines should be updated instantly across all your applications.

3. Intelligent and Rule based

Intelligent and condition based pipelines allow you to update the specific data that should be updated. This will speed up your updates and make your business applications smarter and faster.

4. Hybrid Integration

A hybrid platform increases your flexibility and enables your company to integrate to systems wherever they are located. Connect to cloud-based or on-premise applications behind fire-walls.

5. Reliability and Speed

Your reverse ETL tool's arguably most important feature is its synchronization reliability and speed. For various use cases, you probably have multiple syncs pulling from the same connector.

6. Easy-to-Use

You must be able to use the tool, regardless of its theoretical superiority. Crosser offers a low-code drag-and-drop environment, for anyone to master.
Read more about the Crosser Flow Studio here →

7. Security

Your customers expect you to safeguard their sensitive information and your reverse ETL tool must uphold the required security standards.

8. Cost of the Platform

Transparent pricing and the ability to calculate costs as the business grows is important to most business managers.
Contact us for Pricing →

9. Support

Equally crucial is the presence and expertise of the support team. You need a partner who will assist you in making the most of the upscaling of your data strategy.