Azure Event Hubs vs. IBM InfoSphere Optim

Large IoT data ingestion which needs to be processed as batches or data which requires certain time to process in such scenario Azure Event Hubs is working very effective.

Incentivized

Optim is especially recommended for those companies that have their own or third-party development teams that must be provided with a complete data environment to test the applications. Optim is not recommended for use as an ETL or Data Integration tool.

Incentivized

• message queuing
• data processing for notification.
• Handling large volumes of data from multiple sources.

Incentivized

• Easily extract data from production environments with no-coding
• Intelligent filtering capabilities using physical or logical relationships.
• Advanced data masking funtions

Incentivized

• pricing should be less
• integration with the services should be enhanced.
• Deduplication functionality should be there in Azure Event Hubs

Incentivized

• Poor UI
• Complex architecture

Incentivized

All platforms are good, costing wise it is effective, scalable is being managed by Azure Event Hubs only so only configuration is being required to do, also provides the encrypted, reliable and secure solution .

Incentivized

• reducing the cost as you don't need to create a solution which is scalable
• increasing the productivity of the solution.
• customer satisfaction can be increased by integrating it as a solution.

Incentivized

• Optim can save companies a lot of money by protecting the sensitive data found in their databases, thus avoiding the theft of real customer information with the economic and media impact that this has.
• Accelerate the generation of non-productive environments saving time from human resources.

Incentivized