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Actian DataCloud vs Qlik Replicate comparison

 

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Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Actian DataCloud
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
Cloud Data Integration (41st)
Qlik Replicate
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
18
Ranking in other categories
Data Integration (16th)
 

Featured Reviews

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KrishnaBaddam - PeerSpot reviewer
Lightweight tool, ensures that data is replicated across different systems and simplify complex tasks such as defining relationships
Qlik Compose is something that will automate user's overall data modernization. Here data modernization includes data modeling, ETL jobs, etc. But the advantage is users can automate the overall process of data engineering and data modeling through Qlik Compose. I think that's useful when users are able to manage 60% of the workload automated. That will be very useful. That's fantastic. Replicate does not have a great AI capability. AI capabilities are present in Qlik Sense. Qlik Replicate is a very light tool. It is only meant to capture data from the log files, get the data, and transfer it, read that table structure, create the table structure, and transfer the data whenever there is a change. So, it basically integrates with the kernel of the operating system. The way it works is that these replicate tools will integrate with the kernel of the operating system, and they will access the redo log files of the database. The redo log should have access to all the files of the structure of the schema, too. So, using that technique, they redo all the data structures, create a similar structure, and replicate the structure in the target schema, table, and database. After that is done, it will start tracing the instances that are happening. For example, if data is inserted into the table, then an insert is fired on the statement on the table. So, that particular insert is captured. And based on that insert statement, it will pull the SQL query and say, "Okay, there is an insert. I need to get that data." It will get the data from the redo log itself rather than going to a database. Then, it will just pass that transaction into the target system, where it will just insert the data. And this happens instantaneously, within a microsecond. So, if there is an insert, an update, or a delete, everything is transferred immediately. It is picked from the redo log because it comes to the redo log, and then the redo log sends it to Qlik Replicate and Replicate to the target system on which Replicate is installed.
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
19%
Insurance Company
11%
Computer Software Company
10%
Manufacturing Company
9%
 

Company Size

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Large Enterprise
Midsize Enterprise
Small Business
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Questions from the Community

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What do you like most about Qlik Replicate?
The main valuable feature is its real-time change data capture (CDC) capabilities, which process data with minimal latency. There is not much delay. It also performs well with batch-wise data appli...
What needs improvement with Qlik Replicate?
Qlik Replicate could be improved in the next release by incorporating more monitoring options to monitor the logs. Currently, log monitoring is not easily accessible, so there should be improvement...
What is your primary use case for Qlik Replicate?
My customer's main use case for Qlik Replicate is with one of the payment banks in India. We have implemented this Replicate project for their source data migration to cloud solutions. They wanted ...
 

Comparisons

 

Also Known As

DataCloud, Pervasive DataCloud
Replicate, Qlik Replicate
 

Overview

 

Sample Customers

Accanto Systems, Groupe Adeo, Medical Data Vision, SecureAlert, TimoCom, IsCool Entertainment, Oxford University CTSU, Pinnergy, The Rohatyn Group
American Cancer Society, Fanzz, SM Retail, Smart Modular, Tangerine Bank, Wellcare
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860,632 professionals have used our research since 2012.