The user-friendly interface in Qlik Replicate simplifies configuration and management of replication tasks because it is based on GUI, and users don't have to write any scripts. It is entirely drag and drop functionality. Even with zero knowledge of scripting, users can effectively use Qlik Replicate.

The most valuable feature of Qlik Replicate is their change data capture feature. As soon as data is entered into the source, it gets captured at target locations. This occurs in near real-time, with replication happening within seconds at the target location. Additionally, whatever operations are performed at the source, whether adding data, deleting data, or updating anything, it gets replicated at target locations. It functions as data injection from source to target, ensuring all operations performed on the source system are replicated on target systems.

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.

The system is basically user-driven, mostly operating as a local platform. Certain configurations and prerequisites are needed. Collaborative work with the system network and the database administrator to a large extent is necessary to make the most of this tool. 

It supports multiple endpoints. Data retrieved from the system can be pushed to multiple places, supporting various divisions such as marketing, loans, and others. There's no additional cost, and this helps in calculating the ROI of marketing campaigns.

Qlik Replicate's ability to correctly map and replicate data, especially when converting complex fields like packed decimal fields into integers, stands out. Its unparalleled capability to handle replication with DB2 is a key feature. Additionally, its change data capture capability and ability to recover data when not available enhances the data integration process.

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 applications.

Our client is a global industrial company and needs real-time insights. With CDC, Qlik Replicate can capture changes as they happen. This allows us to process data for our platforms, where data scientists and analysts folks can generate valuable insights for management. This helps us grow the business and identify areas for improvement in real time.

It's user-friendly and has a very beautiful UI. Anyone can learn to use this tool quickly.

We use Qlik Replicate to change data capture of databases in production environments.

The most valuable features of Qlik Replicate are its CDC performance and trigger functions. CDC feature is important to the financial industry. 

Its capability to replicate the data without impacting the source databases performance-wise is the most useful aspect. In terms of the databases, what they do is they don't actually connect to the database and capture the data, and so they go with the logs. They, handle logs and capture the changes from there, and push those changes in real-time. The delay is in milliseconds. Within milliseconds' time, I can move the data to other databases. It's almost real-time for handling my real-time analytics. 

The solution is stable.

Support has been great.

The CDC and the flexibility to use QVD as a source are the most valuable features of Qlik Replicate.

Qlik Replicate stands out with its cutting-edge technology and its ability to handle diverse data management tasks. This powerful tool allows us to efficiently and swiftly load data into various data stores or destinations, while also enabling easy distribution across different endpoints. A notable feature is its capability to reload data from multiple sources by creating multiple tasks within a brief timeframe of fifteen to twenty minutes. This eliminates the need for manual intervention and ensures quick data loading from different tables.

Furthermore, Qlik Replicate functions as a twenty-four-hour messaging tool, operating as a streaming process. It constantly captures and updates changes within a twenty-four-hour window, allowing for real-time data tracking. The tool utilizes Change Data Capture to capture and store data changes, be it in the source data or metadata. While it may not always apply these changes to the target, it primarily focuses on change processing.

Mostly the databases which we used were able to find the connectors for. So, I would say that a pretty good series of connectors is one of the best features of Qlik Replicate.

The most important feature is around replicating and updating records. We previously had to employ a programmer to replicate the difference between target and source and we no longer need to do that. 

What we like best about Qlik Sense is its ability to get to data and bring it together in a cohesive way.

I also like that the on-premises and cloud versions of this product are more cohesive, which means they can integrate well.

It's very user-friendly when it comes to settings and configuration. It also offers very detailed logging about warnings and errors.

The most useful functions of Qlik Replicate are data manipulation and transformations.

A valuable feature of Qlik Replicate is that you do not need ETL. It's easy to use—you choose two systems and it automatically replicates them. Even if there is no CDC available, if you insert it and update it, and there is nothing to find out, then you can use Qlik Replicate. It's a good product. 

It enables us to transform data at the latest stage rather than in ETL loads, so it's more ELT which is one of the advantages. It is also in near real-time, which brings significant advantage for our embedded analytics approach.

From a technical perspective, this is an excellent product.