AWS Data Pipeline vs. IBM InfoSphere Optim

AWS Data Pipeline is a web service that helps you reliably process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals. With AWS Data Pipeline, you can regularly access your data where it’s stored, transform and process it at scale, and efficiently transfer the results to AWS services such as Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR.

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

• Helps you easily create complex data processing workloads
• Fault tolerant
• Highly available

Incentivized

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

Incentivized

• Pipeline Stuck in Pending Status
• Pipeline Component Stuck in Waiting for Runner Status
• EMR Cluster Fails With Error

Incentivized

• Poor UI
• Complex architecture

Incentivized

AWS data pipelines are easy to use over data factory for data engineers

Incentivized

• Easy to use
• Data engineers are able to create the data pipelines quickly and effectively
• Scalable and Fault tolerant

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