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Continuent vs. IBM Data Replication

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Continuent
Score 0.0 out of 10
N/A
Continuent Ltd. is a provider of database clustering and replication, enabling enterprises to run business-critical applications on cost-effective open source software.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
ContinuentIBM Data Replication
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
ContinuentIBM Data Replication
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsContact vendor for pricing information.—
More Pricing Information
User Ratings
ContinuentIBM Data Replication
Likelihood to Recommend
-
(0 ratings)
10.0
(1 ratings)
User Testimonials
ContinuentIBM Data Replication
Likelihood to Recommend
Continuent
No answers on this topic
IBM
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.
Fernando Roque | TrustRadius Reviewer
Fernando Roque
Statistical Analyst
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Pros
Continuent
No answers on this topic
IBM
  • 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
Fernando Roque | TrustRadius Reviewer
Fernando Roque
Statistical Analyst
Read full review
Cons
Continuent
No answers on this topic
IBM
  • 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.
Fernando Roque | TrustRadius Reviewer
Fernando Roque
Statistical Analyst
Read full review
Return on Investment
Continuent
No answers on this topic
IBM
  • 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.
Fernando Roque | TrustRadius Reviewer
Fernando Roque
Statistical Analyst
Read full review
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