Exploring Syncfusion's Big Data Platform for Supporting Hybrid AI Data Demands

[Willie Connor]

Hi everyone,

I’m currently researching the capabilities of Syncfusion’s Big Data Platform and its alignment with the requirements of Hybrid AI systems. Specifically, I would like to know how well Syncfusion’s Big Data Platform can manage the large-scale data processing necessary for Hybrid AI applications.

Are there any performance benchmarks or case studies available that demonstrate its effectiveness in handling complex data workflows? Additionally, I’m curious about the specific features or functionalities of the platform that make it particularly suitable for integrating with Hybrid AI applications.

Any insights, experiences, or resources you can share would be greatly appreciated!

Thank you!

[Edwin Vivek N]

Hi Willie Connor,

Thank you for your interest in Syncfusion’s Big Data Platform! It’s important to note that as of September 2017, Syncfusion’s Big Data Platform is no longer under active development. Currently, it is available only as a benefit through the Visual Studio Dev Essentials subscription, and we have ceased providing support for technical queries, bug fixes, new features, and improvements.

However, I can provide some information on the platform's capabilities and its potential alignment with Hybrid AI systems based on the resources available. The platform was designed to handle large-scale data processing, which is essential for Hybrid AI applications. You can find an overview of its capabilities on this page: Syncfusion Big Data Platform Overview. For more detailed information, the documentation is available here: Syncfusion Big Data Documentation.

Additionally, here are a few whitepapers that describe some use cases and performance scenarios of the Syncfusion Big Data Platform:

1. Using Business Dashboards to Summarize a Billion Records in Seconds
2. Store Limitless Amount of Time-Series Data
3. Achieve Agile Analytics at Scale with Syncfusion and Azure

These resources should give you some insights into the platform’s effectiveness in handling complex data workflows and the features that could support Hybrid AI applications.

Please be aware that since the platform is no longer actively developed or supported, you might encounter limitations or challenges that would require alternative solutions or newer platforms for ongoing projects.

Best regards,

Edwin