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Qlik Replicate

Qlik Replicate

Overview

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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Pricing

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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.

Entry-level set up fee?

  • Setup fee required

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Product Details

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 Screenshots

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Qlik Replicate Video

Move data with minimal operational impact.

Qlik Replicate Integrations

Qlik Replicate Technical Details

Deployment TypesOn-premise
Operating SystemsWindows, Linux
Mobile ApplicationNo
Supported CountriesGlobal
Supported LanguagesEnglish

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.

Informatica RulePoint, Oracle GoldenGate, and HVR are common alternatives for Qlik Replicate.

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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Comparisons

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Reviews From Top Reviewers

(1-5 of 35)

Data Replication easily with a few clicks

Rating: 10 out of 10
April 14, 2023
Qlik Replicate is used to data integration allows organization to replicate, synchronize, and integrate data across multiple databases, data warehouses, and other data storage systems.

The main use case for Qlik Replicate is to ensure that data is accurate and up-to-date across my organization's various data storage systems. This is particularly important for organizations that rely on real-time data analysis to inform business decisions, as Qlik Replicate ensures that all relevant data is available for analysis in a timely manner. Some common ways that Qlik Replicate is used include:Data Warehousing: Qlik Replicate can be used to replicate data from operational databases to data warehouses for analysis.Disaster Recovery: Qlik Replicate can be used to replicate data in real-time to a secondary location for disaster recovery purposes.Cloud Migration: Qlik Replicate can be used to move data from on-premises systems to cloud-based systems.Analytics: Qlik Replicate can be used to move data from various sources into a single location for analysis.Overall, Qlik Replicate is a versatile tool that can be used to ensure that data is accurate and up-to-date across an organization's various data storage systems.
  • Data Warehousing: Qlik Replicate can be used to replicate data from operational databases to data warehouses for analysis.
  • Disaster Recovery: Qlik Replicate can be used to replicate data in real-time to a secondary location for disaster recovery purposes.
  • Cloud Migration: Qlik Replicate can be used to move data from on-premises systems to cloud-based systems.
  • Analytics: Qlik Replicate can be used to move data from various sources into a single location for analysis.
Cons
  • More detailed documentation with errors that occurred in the tool.
  • More agile and efficient support.
  • It works best if you also use other Qlik products.
  • Few APi integrations are not compatible
Qlik Replicate works very well with relational data platforms, both on premise and in the cloud, for example Oracle, SQL Server, PostgreSQL, MySQL and others, it also works very well with DB2.
If the data source is MongoDB, it is more complicated and currently there is no possibility of sending data to MongoDB.

Qlik Replicate is a fantastic tool for replicating data between databases.

Rating: 10 out of 10
April 20, 2023
I have been studying the tool together with my company's pre-sales team. It is a fantastic tool for implementation in customers of different segments and sizes.
  • Full load of transactional databases
  • Very fast CDC incremental loads
  • Replication from one source to multiple targets
  • Database synchronization
Cons
  • I have not identified any new needs in my uses
Qlik Replicate is a fantastic tool for replicating data between databases. Its use in analytical environments is essential to ensure speed in data delivery between transactional and analytical bases, keeping these bases updated and reducing the waiting time of complex and costly loads that greatly impact data environments.

Easy data streaming with Qlik Replicate

Rating: 8 out of 10
April 19, 2023
Vetted Review
Verified User
Qlik Replicate
1 year of experience
In my previous company, we used Qlik Replicate as the primary tool for near-real-time data integration. The flexibility it provides allows you to perform simple ETL tasks directly within the software. This was crucial for our retail company with an ecommerce platform, as we needed to fulfill orders quickly and align stock information almost immediately.
  • Real time integration
  • User experience
  • Performance
Cons
  • Data mapping
  • Integration with external custom code
As a retail company, it is crucial to have consistent and accurate stock information across all systems. Qlik Replicate is a useful tool for achieving this goal, as it efficiently replicates data in near-real-time. However, it may not be the best option for data that requires pre-aggregation before replication. In such cases, using another tool or Qlik View/Sense script may be more appropriate and avoid the need for replicate.

Replication Master.

Rating: 9 out of 10
November 21, 2022
NS
Vetted Review
Verified User
Our essential data integration procedures, including data replication, transformation, and ingestion, have been reduced and are now more efficient and cost-effective than before. Our data integration process was simplified, and both its ease of use and the manner in which it transfers data from one place to another had a good influence on our performance.
  • It is really easy to scale up the big data integrated projects which helps a lot financially.
  • Sometimes for data replication it's really handy.
  • It can take and capture a large data.
Cons
  • It requires a stable and proper internet connection.
  • Sometimes it's harder to duplicate the environments.
  • Some more documentation could be provided.
All sizes of businesses may benefit from integrating data from various sources for analytics and business operations thanks to Qlik Replicate. Data architects and administrators may quickly and effectively set up, manage, and monitor bulk loads utilizing agentless setups due to its global visibility capabilities and centralized management of data transmission across distributed, hybrid settings.

Data Engineer and Application Developer Review

Rating: 10 out of 10
November 09, 2022
Most of business case data pipelines are implemented and used with this application.
Previously, we had lots issue regarding replication of our realtime stream of business sales data and e-commerce data. Using this data warehousing is made easier and helpful. Even batch processing the streaming data is more convenient using this software.
  • Datawarehousing
  • Data Encoding
  • Batch Processing streaming data
  • Handle transactional Metadata
  • Bigdata complications are solved
Cons
  • Few local databases are not compatible
  • Spark processing to be needed
  • Few APi integrations are not compatible
Handling streaming data where it good at. Replication of database services are awesome. It works wide range of dbs, ware houses and Hadoop clusters with seamless cloud data replication. Big data ingestion and data pipeline creation is much easier using this software. As it partnered with azure, most of our services with azure can be used here as well.
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