Continuent vs. IBM Data Replication

Continuent

IBM Data Replication

9 Reviews and Ratings

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
Continuent	N/A	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	Score8.8 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

Continuent

IBM Data Replication

No answers on this topic

No answers on this topic

Pricing Offerings
Continuent	IBM Data Replication
Free Trial
No	No
Free/Freemium Version
No	No
Premium Consulting/Integration Services
No	No

No setup fee

No setup fee

Contact vendor for pricing information.

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	Continuent	IBM Data Replication
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All Alternatives	View all alternatives	View all alternatives

User Ratings
	Continuent	IBM Data Replication
Likelihood to Recommend	- (0 ratings)	10.0 (1 ratings)

User Testimonials
	Continuent	IBM 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. Incentivized Fernando Roque Statistical Analyst Read full review
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 Incentivized 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. Incentivized 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. Incentivized Fernando Roque Statistical Analyst Read full review
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