Qlik Replicate Reviews

Qlik Replicate enhances efficiency by automating reporting, saving some teams 40 to 60 hours monthly. Users shift focus to analysis due to faster data availability, leading to quicker decisions. Database usage drops by 30% and data storage by 20% thanks to data capture. Maintenance time and operational costs decrease while ensuring data replication. Compared to AWS Kinesis, Qlik Replicate is more cost-effective. Overall, increased time for other tasks translates to notable resource savings.

Enterprise buyers evaluating Qlik Replicate find its pricing competitive yet potentially high compared to some competitors like GoldenGate. Licensing is core-based and can become costly depending on resource needs and additional features desired. Many users feel pricing is inflexible, based on endpoints rather than actual data consumption. Initial setup costs involve server hardware. It suits large organizations but may be too expensive for small businesses. Estimated pricing can reach $45,000, mostly seen as reasonable by users.

• "Qlik Replicate is mainly suited for large companies. However, it is too costly for small businesses. Its pricing is high."
• "Unlike Azure, where you pay based on consumption, Qlik Replicate seems to charge per endpoint."
• "On a scale from one to ten, where one is cheap, and ten is expensive, I rate Qlik Replicate's pricing a nine out of ten."

Organizations primarily utilize Qlik Replicate for transforming analytics environments and modernizing data pipelines through data replication and migration. It facilitates historical and incremental data loads from legacy systems like SAP HANA to modern platforms such as Snowflake and AWS. Users employ it to replicate source databases for near real-time analytics, data backup, and efficient data transfers, enabling smoother data accessibility across various sources and supporting business intelligence applications without stressing transactional systems.

Qlik Replicate customer service receives mixed evaluations. Some find technical support helpful but note delays and procedural barriers. Many prefer using consultants or third-party support, citing protracted response times and inadequate direct phone connections. There are positive experiences, particularly with dedicated issues and Spanish-speaking support, but responses often involve repeated interactions. While some praise technical insight, experiences vary significantly depending on support channels and specific issues encountered with products like Qlik AutoML.

Many found Qlik Replicate's initial setup easy and straightforward. Implementation often involved specialists or external partners. Some encountered complexities, particularly related to environment-specific configurations and database privileges. Troubleshooting could extend setup time, sometimes taking weeks. Comprehensive guidance and manuals from Qlik's site were appreciated. Organizations typically required a team for deployment and maintenance, though automation minimized ongoing maintenance. Deployment times varied, with some reporting swift completion, while others faced dependencies and configuration challenges.

Qlik Replicate offers good scalability, driven by configuration and resource allocation. Many firms successfully increase use, aided by AWS or similar platforms. Developers, including software and data engineers, primarily manage this. Challenges exist, requiring effort, like enhancing memory to optimize data transfer, minimizing disk reliance. Companies gradually expand use, noting some constraints in scaling processes and transformations. Despite support dependency, many rate scalability positively, adapting systems like Oracle RDBMS for broader integration.

Users consistently find Qlik Replicate stable and reliable, with many rating its stability highly. There are rare occurrences of latency under heavy loads, but overall performance is praised. The tool effectively manages large transactions and maintains data accuracy even in challenging environments. Stability ratings frequently range from eight to ten out of ten, underscoring its effectiveness in maintaining seamless operations and adapting to various conditions without significant issues.