

Find out what your peers are saying about Amazon Web Services (AWS), Informatica, Salesforce and others in Cloud Data Integration.
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 2 |
| Large Enterprise | 11 |
Founded by Information Systems experts with decades of implementation and integration experience, IConduct was established to answer a real, everyday need.
After witnessing the decentralization of traditional Information Systems, and the increased complexity of business processes that lean more and more on "expert" applications, we saw the chaos and the need for simple integration, and created a solution that was business-focused and technologically enabled.
The IConduct Self Service Integration platform unifies all entities and attributes of all business applications into a single, web-based dashboard, that can operate as a cloud service, on-premise or hybrid solution. The platform supports all enterprise, legacy and cloud base business applications, and eliminates coding on both the source and target application. With a secured agent, full in-memory data handling, and active transaction monitoring, this integration platform provides best performance, ultimate security, and the confidence that all applications are communicating seamlessly and flawlessly.
StreamSets is a data integration platform that enables organizations to efficiently move and process data across various systems. It offers a user-friendly interface for designing, deploying, and managing data pipelines, allowing users to easily connect to various data sources and destinations. StreamSets also provides real-time monitoring and alerting capabilities, ensuring that data is flowing smoothly and any issues are quickly addressed.
We monitor all Cloud Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.