Fortra Robot HA vs. IBM Data Replication

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Fortra Robot HA
Score 8.0 out of 10
N/A
Robot HA from Fortra (formerly HelpSystems) is High Availability Software for IBM i, presented by the vendor as a simple, scalable business continuity solution available in the cloud and on-premises, allowing users to use a secondary system to perform nightly backups, queries, and planned maintenance activities without impacting a production system.N/A
IBM Data Replication
Score 8.8 out of 10
N/A
The IBM Data Replication portfolio provides log based change data capture with transactional integrity to support big data integration and consolidation, warehousing and analytics initiatives at scale.N/A
Pricing
Fortra Robot HAIBM Data Replication
Editions & Modules
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Offerings
Pricing Offerings
Fortra Robot HAIBM Data Replication
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
User Ratings
Fortra Robot HAIBM Data Replication
Likelihood to Recommend
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10.0
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User Testimonials
Fortra Robot HAIBM Data Replication
Likelihood to Recommend
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IBM InfoSphere Data Replication replication allows work on the daily operation and analyzes the replicated data in real-time with no downgrade of performance. This happens thanks to the incremental data load using the log files instead of querying the database for any changes. It serves as an online backup of the database uploading the data to the cloud in real-time.
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Pros
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  • Performance to detect changes using Incremental Data Delivery with logs.
  • Update data in the cloud in real time.
  • Saves data in clusters using Apache Hadoop
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Cons
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  • Better documentation and examples of Console and API.
  • Integration with machine learning to analyze the data.
  • Examples of how to replicate data from multiple sources and databases to one data lake.
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Return on Investment
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  • Analize the daily data in real time using data lakes and Machine Learning.
  • Performance of the replication without affecting the relational database of the applications.
  • Use of Apache Hadoop for data clustering improving performance.
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