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Qlik Replicate has been widely used by organizations to simplify and streamline their data integration procedures. Users have reported …
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What is Qlik Replicate?
Qlik Replicate enables organizations to accelerate data real-time replication, ingestion and streaming via change data capture, across a wide range of heterogeneous databases, data warehouses and data lake platforms.
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What is Qlik Replicate?
Qlik Replicate enables organizations to accelerate data real-time replication, ingestion and streaming via change data capture, across a wide range of heterogeneous databases, data warehouses and data lake platforms.
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What is Qlik Replicate?
Qlik Replicate (formerly Attunity Replicate) enables organizations to accelerate data replication, ingestion and streaming across a variety of heterogeneous databases, data warehouses, and big data platforms. Boasting hundreds of enterprise users worldwide, Qlik Replicate is designed to move data securely and efficiently, with minimal operational impact.
Qlik Replicate provides automated, real-time, and universal data integration across all major source endpoints such as databases, systems like SAP, mainframes and Salesforce and delivers data to streaming systems, data warehouses, and data lakes. On-premises and in the cloud.
Qlik Replicate is Enterprise-Ready. It moves data at high speed from source to target and offers a single pane of glass monitoring of data pipelines across the enterprise, all managed through a graphical interface that automates end-to-end replication. With agentless configuration, administrators and data architects can set up, control, and monitor bulk loads and real-time updates with automated change data capture (CDC) at scale.
Qlik Replicate is Enterprise-Ready. It moves data at high speed from source to target and offers a single pane of glass monitoring of data pipelines across the enterprise, all managed through a graphical interface that automates end-to-end replication. With agentless configuration, administrators and data architects can set up, control, and monitor bulk loads and real-time updates with automated change data capture (CDC) at scale.
Qlik Replicate Screenshots
Qlik Replicate Video
Move data with minimal operational impact.
Qlik Replicate Integrations
- Qlik Catalog
- Qlik Compose
- Qlik Enterprise Manager
Qlik Replicate Competitors
Qlik Replicate Technical Details
| Deployment Types | On-premise |
|---|---|
| Operating Systems | Windows, Linux |
| Mobile Application | No |
| Supported Countries | Global |
| Supported Languages | English |
Frequently Asked Questions
Qlik Replicate enables organizations to accelerate data real-time replication, ingestion and streaming via change data capture, across a wide range of heterogeneous databases, data warehouses and data lake platforms.
Reviewers rate Qlik Replicate Productivity 4.7.21 highest, with a score of 8.7.
The most common users of Qlik Replicate are from Enterprises (1,001+ employees).
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Community Insights
TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
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Qlik Replicate has been widely used by organizations to simplify and streamline their data integration procedures. Users have reported that this tool effectively transfers data from one place to another, improving overall performance and efficiency in the data integration process. One of the primary use cases for Qlik Replicate is ensuring the accuracy and timeliness of data across various storage systems, which is crucial for organizations relying on real-time data analysis for making informed business decisions. Customers have found value in using Qlik Replicate for data warehousing, disaster recovery, cloud migration, and analytics purposes. This powerful tool allows for data replication, synchronization, and integration across multiple databases and storage systems. Users have successfully replicated operational application data from various sources such as Oracle ERP and Salesforce to Microsoft SQL Server BI systems, enhancing business case data pipelines and supporting reporting and dashboards. Additionally, Qlik Replicate has simplified the process of data warehousing and batch processing of streaming data, making it more convenient for users. Organizations have utilized Qlik Replicate to replicate data from brick-and-mortar source system databases to cloud databases, allowing for direct data querying and supporting various reporting needs. Users have also praised Qlik Replicate for its reliability, intuitive user interface, and support for a variety of sources and targets, making it a preferred choice for replicating on-premises data into the cloud. Overall, customers from different segments and sizes have found Qlik Replicate to be a fantastic tool for achieving seamless data replication with ease of configuration, scalability, and customization options.
Stability and reliability: Users have consistently praised Replicate for its stability and reliability, with minimal alerts, failures, or troubleshooting required. Several reviewers have mentioned this as a key benefit of using the software.
Ease of scalability: Many users have found Replicate to be highly scalable in big data integrated projects, which has had a positive financial impact for them. The ability to easily add new source tables to tasks and ensure synchronization with the latest data has been particularly appreciated by users.
Efficiency in handling large amounts of data: Replicate's ability to efficiently handle and capture large amounts of data has been highlighted by multiple reviewers. This makes it a valuable tool for data replication, warehousing, disaster recovery, cloud migration, and analytics tasks.
Latency Issues: Some users have experienced latency in certain tasks and are unsure of the cause. This issue has been mentioned by multiple reviewers, indicating a recurring problem that affects the overall performance and efficiency of the tool.
Limited Documentation and Error Reporting: Several reviewers have expressed the need for more comprehensive documentation and detailed error reporting in the tool. The lack of sufficient documentation makes it difficult for users to troubleshoot issues effectively, leading to frustration and wasted time trying to find solutions.
Challenging Support Experience: Users have voiced their desire for more agile and efficient support. They find the current support experience lacking in responsiveness and quality, highlighting areas that require improvement such as faster response times, better communication, and more knowledgeable support staff.
Users have made several recommendations based on their experiences with Qlik Replicate. Firstly, they suggest trying Qlik Replicate for change data capture (CDC) needs and conducting a proof of concept (POC) to see the benefits and suitability of the software.
Secondly, it is advised to check the hardware requirements, install recommended resources, and test the software in a representative environment with volume. Users also recommend considering any pre-requests, security requirements, and logging setup.
Lastly, many users find Qlik Replicate worth the cost and believe it is an excellent tool for reducing stress during data replication or loading. They suggest getting a demo of the software to better understand its capabilities and determine if it suits the company's needs.
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Reviews
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November 02, 2022
Qlik Replicate
Qlik Replicate is used in IT to replicate on-prem data to off-prem Cloud solutions.
- Replicates data across disparate platforms.
- Pretty easy to maintain and update
- Troubleshooting issues can be difficult as errors are not very clear.
- Logging is minimal and not terribly helpful by default unless you increase the logging levels.
- Qlik Replicate has allowed us to leverage better-suited, cloud-based BI OLAP solutions by replicating data from less suitable, on-prem OLTP platforms.
We have not evaluated any other products in the last 3 years.
10
Mostly Business Intelligence and Development.
10
- Experience in the respective database platforms (Oracle, SQL Server, PostgreSQL, etc.)
- Experience in Linux administration
- Experience in Windows Server administration if you also use the Qlik Enterprise Manager option
- Experience in Networking and Firewalls depending on your setup
- Distribution of data to disparate platforms
- Replicating in a timely fashion
- Reliable performance
- None, we use it purely for data replication
- None, we use it purely for data replication
No
- Product Features
- Product Usability
We required a product that could replicate across disparate database platforms like Oracle Database, PostgreSQL, Google Big Query, and Google Storage.
I don't think we would change anything. Our needs for replicating across disparate environments results in a limited number of available products. Qlik Replicate works and has been reasonably reliable so far, so it would be difficult to find another product that does this.
- Implemented in-house
No
Change management was minimal
- When replicating to/from Google Cloud, Qlik is very specific about the supported versions of the GCP SDK and Big Query Simba drivers. Maintaining this can be a bit of a hassle and making sure that neither is accidentally upgraded is very important.
No
No
Qlik Support is currently working to evaluate what I believe is a typo in their documentation regarding a very specific part of the upgrade process. They responded to my note about the typo in a timely fashion, took it seriously, and are evaluating if my thoughts are correct and the documentation needs to be updated. I appreciate the fact that Qlik Support was attentive and NOT dismissive of my discovery.
- Overall maintenance and upgrades are pretty easy, especially in Linux
- Creating and maintaining replication tasks
- Stopping a replication task can take a very long time
- The logging of errors is not always helpful. By default, logging is set to a minimum so it is not always clear what the issue might be.
November 05, 2021
Qlik Replicate for Data Analytics
It is used as a replication service(tool) to copy data from one source to another(Target) and make use of the data instead of hitting the main source and that is used for all the data analytics. This solved the problem of the cross-platform join for the end-users who want to view the data.
- Replication
- Synchronization
- Distribution
- Support
- Cost
- Learning curve
- Less time consuming analyzing data
- Less ETL process
- More filtering options
Simple to do one-to-one copy and very reliable, as other tools a little complex in setting up the pipelines and scheduling parts. Very simple to connect to the SFTP locations and easy to download them as well.
20
Replicate and automatically catches the structural changes on the source side
Database Admin, ETL engineer, Data Architect.
- Replicate
- Cross database querying
- Staging
No
- Price
- Product Features
- Product Usability
- Implemented in-house
N/A
- No delay
- no Structure changes
- easy to use
June 10, 2021
Utilize Qlik Replicate to Streamline Your Data Into Your Data Warehouse and Build Your BI Platform Faster!
We use Qlik Replicate in one specific vertical within our larger organization. We are using it to copy transactional tables from our CRM database into a data warehouse so that we can build a business intelligence suite on top of that data in an OLAP database. Qlik Replicate allows us to easily copy that data without our having to build our own custom, real-time ETL processes.
- Replicate is extremely stable and does not generate a lot of alerts/failures/issues that take up time to troubleshoot.
- It is very easy to add new source tables to a Replicate task so that we're always in sync with new data available from the CRM.
- It's nice that Qlik Replicate also allows you to create a job to stop and then restart your tasks during maintenance windows that occur on both the source and target systems.
- I wish there was a way to give the user the option to decide if changing a particular task setting actually requires a reload of the target table. Too many changes or modifications within the task settings require you to reload a table and if the target database and source database do not have the same data retention policies then you risk losing data and you have to account for that when changing task settings.
- From time to time a particular task begins to build up latency where it becomes 2,3 or 4 hours behind the source system. It's never really clear why that is occurring and it may be impossible to know exactly but I wish there was a way to know that it was due to activity happening at the source or the target.
- It has improved our time to market to be able to get at source data faster and in an OLAP vs OLTP database.
- It frees up database analysts time to be focused on the operational intelligence rather than the building/maintaining of complex ETL processes.
Qlik Replicate's power is in its simple 1:1 copying of database tables and architecture and maintaining a near real-time copy of that database. Talend and SSIS are different tools and more for custom ETL's that require various steps to connect to SFTP or download files. They're not really similar in how I've used them but I wouldn't want to re-create the easy replication that Qlik Replicate does in either platform.
1
Data Analysts
1
These are data analysts with SQL knowledge and an understanding database architecture but also people that understand how to visualize data in order to tell an effective story.
- Copy data from transactional system to data warehouse
- Allow business users to be the power users of the Replicate tool
- Get data into a data warehouse without IT intervention
- We haven't really been that innovative with Replicate
- Taking advantage of the transformation tools
No
- Price
- Product Features
- Product Usability
Find more products that are similar to Qlik Replicate and not traditional ETL interfaces.
- Implemented in-house
- TIBCO professional services
No
Change management was minimal
- Making sure that we had target tables built properly (with primary keys) so that bulk load/update processes were being processed one by one.
I believe we have premium support but I am unsure (which speaks to some of the issues since Qlik bought out Attunity).
No
I do not have such an example with Qlik. I used to have great interactions when it was Attunity Replicate and Dan Cleary from the support team always knew how to help resolve our issues with the DB2, AS/400 source.
- Setting up data connections
- Creating new Tasks
- Setting up Tasks with tables, filters and transformations
- Upgrading software versions
- Working with Qlik Support
No
Yes
We had a more involved upgrade process because we were still using an old, unsupported version of Replicate because we didn't know we needed to upgrade previously. This caused the upgrade process to be a lot more involved and much more difficult.
- Getting on a supported version
- Getting rid of old software like the Attunity Server that was harder to use
- Being able to set up ODBC connections rather than having an agent installed on the source
- Even more stability
No
No