Integrate.io

Integrate.io is built to handle the full data journey, from data pipeline unification and orchestration to data security and compliance. It's got a low-code interface to automate data processes that otherwise would require a lot of manual labor, and an interface for designing, managing and transforming data with ETL, ELT, CDC, Reverse ETL and API integration.

Some of its features include:

• Low-Code ETL Data Pipelines: Drag-and-drop interface to create and manage data pipelines.
• Bi-Directional Connectors: Sophisticated connectors to connect to major data sources like Salesforce and REST APIs.
• 60-Second CDC Database Replication: High-speed, high-availability replication for data products.
• 220+ Data Transformations: Transform data in the way you need it.
• Scheduling and Monitoring: Schedule jobs to run at specific times and get notifications by email, Slack or PagerDuty.
• Scalability: Handle massive data volumes, from hundreds of rows to tens of billions.
• Security and Compliance: Focuses on data security, with support for GDPR, HIPAA and SOC 2 compliance.

Integrate.io is geared for anyone who wants to automate data processes without having to write a lot of code. That's particularly useful for data teams that need to automate manual processes, link multiple data sources and build data-driven applications. It can be used for a variety of operational and analytical use cases, including automated file data preparation, REST API ingestion and database replication.

Pricing is based on a credit system, with the Starter plan offering 500 credits for $2.99 per credit, the Professional plan offering 4,800 credits for $0.62 per credit, and the Expert plan offering 6,000 credits for $0.83 per credit. The different plans offer different levels of support, onboarding and features, including dedicated solutions engineers, sandbox clusters and custom burst data loads.

Using Integrate.io, customers can streamline their data operations, improve data quality and make better decisions. The company's features and infrastructure scale to meet the needs of businesses that want to get the most out of their data workflows.

Published on July 17, 2024