Qlik Replicate vs InfoSphere Information Server

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Our analysts compared Qlik Replicate vs InfoSphere Information Server based on data from our 400+ point analysis of ETL Tools, user reviews and our own crowdsourced data from our free software selection platform.

Product Basics

Qlik Replicate is a data replication solution that enables real-time data integration between various data sources and target systems. It's ideal for organizations seeking to consolidate data from disparate sources, ensuring data consistency and availability for analytics and reporting purposes.

Key benefits include: real-time data replication, ensuring data accuracy and eliminating data latency; support for a wide range of data sources and target systems, providing flexibility in data integration; and robust data transformation capabilities, allowing for data cleansing, filtering, and enrichment before replication.

Qlik Replicate stands out with its user-friendly interface, intuitive drag-and-drop functionality, and comprehensive data monitoring and management tools. It offers flexible pricing options based on the number of data sources and target systems, making it cost-effective for organizations of all sizes.

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InfoSphere Information Server is a data integration powerhouse designed to unify information across complex, diverse systems. It excels at extracting, transforming, and loading data (ETL/ELT) for tasks like building data warehouses, powering analytics, and driving business insights. Best suited for large enterprises with demanding data needs and dedicated IT resources, InfoSphere boasts robust features like comprehensive data source/target connectors, powerful transformation tools, and advanced governance capabilities. User feedback highlights its scalability, security, and job automation as key benefits. However, its complexity and steep learning curve can be daunting for smaller setups. Additionally, the high licensing costs and resource-intensive nature might dissuade budget-conscious organizations. Compared to other data integration tools, InfoSphere leans towards high-volume, mission-critical scenarios, while alternative options might offer simpler setups or cater to broader use cases. Choosing the right fit depends on individual needs and priorities. Ultimately, InfoSphere Information Server shines when organizations need a robust, feature-rich platform to conquer complex data challenges, even at the cost of increased upfront investment and initial learning hurdles.

Pros
  • Powerful ETL & ELT capabilities
  • Wide range of data sources & targets
  • Job scheduling & monitoring
  • Data quality & transformation tools
  • Scalable & secure architecture
Cons
  • Steep learning curve & complexity
  • High licensing costs
  • Limited out-of-the-box connectors
  • Performance bottlenecks with large datasets
  • Resource-intensive for deployment & maintenance
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$1,000 Monthly
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$20,000 Annually
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Product Insights

  • Accelerated Data Delivery: Qlik Replicate's high-speed data replication engine ensures near-real-time data delivery, minimizing latency and enabling faster decision-making.
  • Enhanced Data Integrity: The solution's robust data validation and error handling capabilities guarantee data accuracy and consistency, ensuring reliable insights.
  • Simplified Data Management: Qlik Replicate's intuitive interface and automated processes streamline data replication tasks, reducing operational complexity and freeing up IT resources.
  • Improved Data Security: Advanced encryption and access controls protect sensitive data throughout the replication process, ensuring compliance and mitigating security risks.
  • Scalable and Flexible: Qlik Replicate's scalable architecture supports growing data volumes and diverse data sources, providing flexibility to meet evolving business needs.
  • Reduced Downtime: The solution's continuous replication and failover capabilities minimize downtime during system maintenance or outages, ensuring uninterrupted data availability.
  • Cost Optimization: Qlik Replicate's efficient data replication processes reduce storage and bandwidth requirements, optimizing infrastructure costs and improving ROI.
  • Improved Data Governance: Centralized data management and lineage tracking capabilities enhance data governance practices, ensuring data quality and compliance.
  • Enhanced Analytics and Reporting: Near-real-time data availability empowers businesses with up-to-date insights, enabling more accurate and timely decision-making.
  • Increased Business Agility: Qlik Replicate's rapid data delivery and simplified management empower businesses to respond quickly to changing market conditions and customer demands.
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  • Unified Data Landscape: Break down data silos and seamlessly integrate information from diverse sources, including databases, applications, and cloud platforms, providing a holistic view for improved decision-making.
  • Enhanced Data Quality: Ensure data accuracy and consistency through powerful cleansing, standardization, and transformation tools, minimizing errors and boosting trust in your data assets.
  • Streamlined Data Movement: Automate and orchestrate data movement using flexible ETL/ELT workflows, speeding up data delivery and reducing manual effort for critical business processes.
  • Powerful Data Transformation: Manipulate and enrich data to meet specific needs through a comprehensive set of transformation functions, unlocking its full potential for analytics and reporting.
  • Scalable and Secure Architecture: Handle large data volumes and complex integrations with confidence thanks to a robust and secure architecture, ensuring uninterrupted data flow and safeguarding sensitive information.
  • Improved Operational Efficiency: Automate routine data tasks, reduce IT workload, and optimize resource utilization, freeing up staff and resources for higher-value activities.
  • Enhanced Data Governance: Implement data governance policies and ensure compliance with regulations through features like lineage tracking and access controls, fostering data transparency and responsible usage.
  • Greater Business Agility: Respond rapidly to changing data needs and support new initiatives with agile data integration capabilities, empowering faster time-to-market and increased business flexibility.
  • Improved Collaboration and Decision-Making: Foster greater collaboration across teams by providing everyone with access to reliable and consistent data, leading to better informed decisions and data-driven strategies.
  • Reduced Integration Costs: Streamline data management processes, eliminate data redundancies, and optimize infrastructure usage by consolidating data integration needs into a single platform, potentially leading to cost savings.
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  • Real-time data replication: Replicate data changes as they occur, ensuring that your target systems are always up-to-date.
  • High availability and disaster recovery: Protect your data from downtime and data loss with automatic failover and recovery mechanisms.
  • Flexible data transformation: Easily transform and cleanse data during replication to meet the specific requirements of your target systems.
  • Scalable architecture: Handle large volumes of data and support multiple concurrent replication tasks with ease.
  • Comprehensive data security: Protect sensitive data during replication with encryption, authentication, and authorization mechanisms.
  • Intuitive user interface: Manage and monitor replication tasks effortlessly through a user-friendly web-based interface.
  • Extensive connectivity options: Connect to a wide range of source and target databases, including relational, NoSQL, and cloud-based systems.
  • Change data capture (CDC): Capture only the changes made to your source data, reducing replication overhead and improving performance.
  • Data lineage tracking: Track the flow of data from source to target, ensuring data integrity and compliance.
  • Support for complex data types: Replicate complex data types, such as JSON, XML, and LOBs, without data loss or corruption.
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  • Data Integration: Collect, transform and share large amounts of complex data assets across the organization. Reduce development time, and scale flexibly by leveraging built-in data transformation functions. Deliver data in real time to business applications in bulk, virtually or through change data capture (CDC). 
  • Data Quality: Cleanse and validate data — in batches and real time — then load it into analytical views for consistent monitoring. Establish data quality metrics across the organization by reusing these data views. Ensure consistent information organization-wide by linking related records across systems. 
    • Business Glossary: Create a single source of truth – consolidate disparate data into unique, reliable records and load into repositories and master data applications. Share insights with confidence powered by complete access to proof of lineage and data quality. A centralized hub maintains data governance rules. 
  • Information Governance Catalog: Empower data scientists and analysts to explore and analyze business data in compliance with enterprise governance standards. Create, manage and share a common business language, design and apply rules and track data lineage. Extend on-premise governance investment to the cloud by integrating with IBM Watson Knowledge Catalog. 
  • Metadata Repository: Share imported metadata and other assets in any server component across. the organization. Stores project configurations, reports and results for all the server’s components in one unified repository 
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Product Ranking

#27

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#32

among all
ETL Tools

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Analyst Rating Summary

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Analyst Ratings for Functional Requirements Customize This Data Customize This Data

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Data Delivery Data Quality Data Sources And Targets Connectivity Data Transformation Metadata Management Platform Capabilities Workflow Management 100 99 94 95 100 0 100 0 25 50 75 100
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Analyst Ratings for Technical Requirements Customize This Data Customize This Data

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User Sentiment Summary

Excellent User Sentiment 2 reviews
Good User Sentiment 80 reviews
100%
of users recommend this product

Qlik Replicate has a 'excellent' User Satisfaction Rating of 100% when considering 2 user reviews from 1 recognized software review sites.

77%
of users recommend this product

InfoSphere Information Server has a 'good' User Satisfaction Rating of 77% when considering 80 user reviews from 3 recognized software review sites.

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4.0 (21)
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4.6 (27)
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3.1 (32)

Awards

Qlik Replicate stands above the rest by achieving an ‘Excellent’ rating as a User Favorite.

User Favorite Award

SelectHub research analysts have evaluated InfoSphere Information Server and concluded it earns best-in-class honors for Workflow Management.

Workflow Management Award

Synopsis of User Ratings and Reviews

Real-time Data Replication: Qlik Replicate enables near-instantaneous data replication, ensuring that your data is always up-to-date and accessible for critical business processes.
High Availability and Disaster Recovery: Qlik Replicate provides robust data protection by replicating data to multiple locations, ensuring business continuity in the event of hardware failures or natural disasters.
Scalability and Performance: Qlik Replicate is designed to handle large data volumes and high transaction rates, ensuring optimal performance even in demanding environments.
Flexible Data Transformation: Qlik Replicate offers powerful data transformation capabilities, allowing you to cleanse, filter, and enrich data before replication, ensuring data quality and consistency.
Simplified Management: Qlik Replicate's intuitive user interface and centralized management console make it easy to configure, monitor, and manage replication tasks, reducing administrative overhead.
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Powerful Data Handling: Handles complex ETL/ELT processes and diverse data sources (relational, flat files, cloud platforms) with ease, streamlining data movement and integration.
Enhanced Data Quality: Ensures data accuracy and consistency through robust cleansing, validation, and transformation tools, boosting trust and reliability in data insights.
Scalability and Security: Supports large data volumes and complex integrations with confidence, safeguarding sensitive information through granular access controls and encryption.
Job Automation and Monitoring: Automates data pipelines and workflows, reducing manual effort and simplifying task management with comprehensive monitoring capabilities.
Improved Operational Efficiency: Centralizes data integration processes, eliminates data silos, and frees up IT resources for higher-value tasks, leading to cost savings and increased productivity.
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Limited Data Source Support: Qlik Replicate may not support all the data sources that you need to replicate, which can limit its usefulness in certain scenarios.
Complex Configuration: Setting up and configuring Qlik Replicate can be complex, especially for users who are not familiar with data replication technologies.
Performance Issues: Some users have reported performance issues with Qlik Replicate, particularly when replicating large volumes of data.
Limited Error Handling: Qlik Replicate may not handle errors gracefully, which can lead to data loss or corruption.
Lack of Real-Time Replication: Qlik Replicate does not offer real-time replication, which can be a limitation for applications that require up-to-date data.
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Steep Learning Curve: Complex interface and feature-rich platform require significant training and expertise, even for experienced data professionals.
High Cost of Ownership: Licensing fees, maintenance, and potential hardware/infrastructure upgrades can make it a costly solution for smaller organizations or simpler data needs.
Limited Out-of-the-Box Connectors: May require custom development or third-party tools for integration with certain data sources or applications, increasing implementation complexity and costs.
Performance Bottlenecks: Can experience slowdowns or scalability issues with very large datasets or intricate ETL/ELT processes, demanding careful optimization and resource allocation.
Limited Cloud-Native Functionality: Core features are primarily designed for on-premises deployments, with cloud options requiring additional setup and configuration, potentially hindering agility and flexibility.
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Qlik Replicate is a data replication solution that has received positive user reviews in the past year. Users appreciate its ease of use, reliability, and scalability. They also find it to be a cost-effective solution compared to similar products. One of the key strengths of Qlik Replicate is its ability to replicate data in real-time, which is essential for businesses that need to make decisions based on the most up-to-date information. Additionally, Qlik Replicate offers a variety of features that make it easy to manage and monitor replication tasks, such as a graphical user interface and a command-line interface. While Qlik Replicate is a powerful data replication solution, it does have some weaknesses. Some users have reported that it can be difficult to configure and that it can be slow to replicate large amounts of data. Additionally, Qlik Replicate does not offer some of the features that are available in more expensive data replication solutions, such as support for multiple data sources and the ability to replicate data over long distances. However, for businesses that need a reliable and cost-effective data replication solution, Qlik Replicate is a good option. Overall, Qlik Replicate is a good choice for businesses that need to replicate data in real-time. It is easy to use, reliable, and scalable. Additionally, it is a cost-effective solution compared to similar products. However, businesses that need to replicate large amounts of data or that need support for multiple data sources may want to consider a more expensive data replication solution.

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User reviews of InfoSphere Information Server paint a picture of a powerful data integration tool, capable of handling complex tasks and diverse data sources. Admiration for its robust ETL/ELT capabilities, data quality tools, and secure architecture echoes frequently, with users citing improved data accuracy and streamlined data movement as major benefits. Automation features and job monitoring are also praised for boosting operational efficiency and freeing up resources. However, the praise comes with caveats. The steep learning curve and demanding resource requirements are consistent gripes, making InfoSphere a better fit for larger organizations with dedicated IT expertise and infrastructure. The high cost of ownership, including licensing, maintenance, and potential hardware upgrades, further strengthens this point. Additionally, the limited out-of-the-box connectors and potential performance bottlenecks with massive datasets are concerns for some users. Compared to competitors, InfoSphere shines in its scalability and security, catering to high-volume, mission-critical scenarios. However, users also acknowledge the presence of simpler, more user-friendly options that might be better suited for smaller setups or less complex data needs. Ultimately, the choice boils down to individual priorities. If data volume, security, and advanced features are paramount, InfoSphere stands out, despite its demanding nature. But for those seeking a smoother learning curve or broader use cases, other solutions might offer a better fit. In essence, user reviews reveal InfoSphere Information Server as a powerful tool for complex data challenges, but its strengths come with a price tag and learning curve. Carefully evaluating data needs and priorities is crucial before choosing this data integration powerhouse.

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