Home > Big Data Analytics Tools > QlikView > QlikView vs Azure Synapse Analytics

QlikView vs Azure Synapse Analytics

Last Updated: November 18th, 2024

Our analysts compared QlikView vs Azure Synapse Analytics based on data from our 400+ point analysis of Big Data Analytics Tools, user reviews and our own crowdsourced data from our free software selection platform.

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Product Basics

QlikView is a data discovery and customer insight platform from Qlik, a leader in the insight and intelligence space. However, it is not available for purchase any longer. Qlik Sense, Qlik’s next-generation offering, is available for new customers. It offers self-service data that can help drive decisions and generate significant ROI for technical skill level users.

It’s built from the ground up to be affordable, scalable and adaptable. It can ingest data from diverse sources like big data streams, file-based data, and on-premise or cloud data. It is well-known for its data associations and relationship functionality, keeping data in context automatically. It delivers results quickly via its patented in-memory data processing module, processing data down to as little as 10% of its original size.

Pros

Intuitive interface
Fast data visualization
Easy data exploration
User-friendly for non-technical users
Strong community and support

Cons

Limited data modeling capabilities
Licensing costs can be high
Customization can be challenging
Version control can be a concern
Performance can slow with large datasets

Microsoft Azure Synapse Analytics is a comprehensive cloud-based analytics service designed to empower organizations with robust data warehousing and data analytics capabilities. It seamlessly integrates data warehousing and big data analytics, enabling users to ingest, prepare, manage, and serve data for immediate business insights. Key features include scalable resources, real-time analytics, machine learning integration, and a collaborative workspace for data professionals. Azure Synapse Analytics offers benefits such as improved scalability, enhanced data security, and simplified data integration. It's particularly valuable for organizations looking to harness the power of data to make informed decisions and gain a competitive edge in today's data-driven landscape.

$2,500/User, Annual

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$1.25/Hour, Usage-Based

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Product Insights

Optimize Connections: Spot connections in data even when working with large data sets. Take a granular look at data through drill-down and view high-level trends in customer/employee behavior.
Increase Data Security and Control: Ensure total control over sensitive data. Prevent unauthorized access to crucial data sets through user-control, filtered views and permissions. AES-256 GCM provides data integrity and keeps information secured. Grant access to view data using user-specific access.
Enhance Functionality: Build the product in alignment with user needs and specifications. Extend functionality with QlikView Workbench to customize the app with custom scripting.
Increase Insight: Gain unparalleled insights into business operations, as well as the market at large. Track KPIs like sales, budgets, employee performance, and hundreds of other pre-built or custom data points.
Flexible Deployment: Choose from a cloud analytics solution, an on-premise installation, or a combined solution to get desired scalability and flexibility.
Intuitive Interface: Obtain data results via the self-service and code-free visual tool. Its accessible interface provides updated information instantly.
Empower Company Culture: Foster a data-driven culture by empowering employees to share data and insights directly or outside the platform.
Increase Competition: Monitor and track employee performance using KPI dashboards across organizations. Analyze changes in empirical data and make decisions to capitalize the profits.
Automated Recommendation: Receive and recommend automated context-aware suggestions using machine learning (ML). Prioritize recommendations on visualization type for easy access.
Accelerate Business Growth: Scale the businesses by deploying self-service and predictable BI. Test business performance using free tools available on the webpage.
Enhance Accessibility: Access all features from anywhere and on any device using an HTML5 client. Provides mobile push notifications to ensure unrestricted and consistent access.
Worldwide Support: Support fifteen languages and native currency conversions while detecting which language to use according to the browser or operating system.
Optimize Deployment and Configuration: Deploy quickly and allow for even quicker configuration because data is not required to be stored in any silos or cubes.

Scalability: Azure Synapse Analytics offers scalable data warehousing, allowing organizations to easily adjust resources to meet their specific needs. This scalability ensures optimal performance and cost-efficiency.
Unified Analytics: With Azure Synapse Analytics, users can seamlessly integrate data analytics and data warehousing. This unified approach simplifies data management, analytics, and reporting, leading to faster insights and smarter decision-making.
Advanced Security: Security is a top priority in Azure Synapse Analytics. It provides robust security features, including data encryption, authentication, and role-based access control, ensuring that sensitive data remains protected.
Data Integration: This platform offers powerful data integration capabilities, allowing users to easily ingest, transform, and load data from various sources. It supports a wide range of data formats and connectors, facilitating seamless data integration workflows.
Optimized Performance: Azure Synapse Analytics leverages intelligent caching and query optimization to deliver exceptional query performance. Users can run complex queries on large datasets quickly and efficiently.
Real-time Analytics: Organizations can harness real-time data analytics with Azure Synapse Analytics. It supports streaming data, enabling businesses to gain insights from live data streams and make timely decisions.
Cost Management: With cost controls and optimization features, Azure Synapse Analytics helps organizations manage their data warehouse expenses effectively. Users can pause and resume resources as needed to control costs.
Integration with Azure Ecosystem: Azure Synapse Analytics seamlessly integrates with other Azure services, such as Azure Data Lake Storage and Azure Machine Learning. This integration enables organizations to build end-to-end data solutions within the Azure ecosystem.
AI and Machine Learning: Leveraging Azure's AI and machine learning capabilities, Synapse Analytics allows users to build and deploy advanced analytics models, unlocking valuable insights from their data.
Global Reach: Azure Synapse Analytics is available in multiple Azure regions worldwide, providing global accessibility and low-latency data processing for organizations with international operations.

Direct Data Source Connection: Connect to almost any data source, including cloud, big data, file-based and on-premise data. Pull information from many services (Salesforce, Hive, Teradata) and combine intel seamlessly into unique and intuitive dashboards.
Intelligent Visualization: Offer interactive displays and represent data in multiple ways for better data analysis. Flexible visualizations allow users to change and adjust graphics according to screen size.
Enterprise Collaboration: Facilitate collaboration for users to share the same dashboard, look at the same view or track one another as they navigate the application.
Strong Associations: Leverage the strength of the platform’s built-in association engine to conduct direct and indirect searches across data or within a single field. Identify data that is related and not associated.
Self-Service App Building: Build apps and files via the drag-and-drop function. Create individual lists with their visualization while managing and sharing across organizations.
Associative Indexing: Combine, transform and ingest data from multiple sources. Gathers data and indexes it to find logical associations. Explore and search big data repositories freely while keeping data intact.
Interactive Dashboards: Provide visualization capabilities and improve interaction using tooltip, lasso selection, filtering and drill-down functions. Encourage viewers to explore data by creating smart dashboards and distributing them using interactive elements.
In-Memory Application: House the software in memory, so conversions, queries and searches happen quicker and more efficiently. Eliminate problems that traditionally plague slow, on-disk applications. Locate all data in RAM.
Web Connectors: Extract data from multiple social networking sites and web-based sources using web APIs. Built-in connectors easily connect to any URL and fetch data.
Robust Data Controls: Enable meaningful data manipulation within the application by leveraging unique dashboards, reports and filter views.
Data Alerts: Spot anomalies and outliers by requesting context-aware alerts. Monitor and manage data without limitations.

Data Warehousing: Azure Synapse Analytics offers a robust data warehousing solution, allowing organizations to store and manage large volumes of structured and unstructured data efficiently.
Analytics Workspace: It provides an integrated analytics workspace for data engineers, data scientists, and analysts to collaborate, explore data, and build advanced analytics models.
On-Demand Query Processing: Users can run on-demand queries to extract insights from their data in real-time, without the need for predefined structures or complex ETL processes.
Data Integration: Synapse Analytics supports data integration from a variety of sources, enabling users to ingest, transform, and load data with ease.
Auto-scaling: The platform offers auto-scaling capabilities, automatically adjusting resources to handle varying workloads, ensuring optimal performance and cost-effectiveness.
Security and Compliance: Azure Synapse Analytics includes robust security features, such as encryption, authentication, and access control, to protect sensitive data and maintain compliance with industry regulations.
Intelligent Caching: It employs intelligent caching to speed up query performance, reducing latency and enhancing overall data processing efficiency.
Real-time Analytics: Users can analyze streaming data in real-time, enabling timely insights and the ability to respond to changing conditions swiftly.
Machine Learning Integration: Synapse Analytics seamlessly integrates with Azure Machine Learning, allowing organizations to build, train, and deploy machine learning models for advanced predictive analytics.
Collaborative Workspace: It provides a collaborative workspace for teams to collaborate on data projects, facilitating efficient data exploration and analysis.
Serverless SQL Pools: Azure Synapse Analytics offers serverless SQL pools, enabling users to query data stored in data lakes without the need for provisioning dedicated resources.

Product Ranking

#32

among all
Big Data Analytics Tools

#40

among all
Big Data Analytics Tools

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Analyst Rating Summary

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User Sentiment Summary

82%

of users recommend this product

QlikView has a 'great' User Satisfaction Rating of 82% when considering 1859 user reviews from 4 recognized software review sites.

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Synopsis of User Ratings and Reviews

Data Visualization: Approximately 80% of users who review its data visualization capabilities are satisfied with its intuitive drag-and-drop feature, rich libraries and its range of aesthetically appealing data representation options.

Data Preparation: Of users who mention data processing, 83% appreciate the platform’s seemingly limitless data transformation capabilities that help them deep-dive into all possible data relationships to glean actionable insights.

Functionality: Among users who share their views on this platform, around 68% say that they are satisfied with the power of its associative query engine that enables faster on-the-fly calculations and analytics aggregation at the speed of thought.

Sharing and Collaboration: About 83% of users who comment on sharing capabilities appreciate its multi-tier permissions capabilities and easy sharing of reports with clients via external sharing options.

Setup: Around 66% of users who mention ease of setup say that QlikView has a fast implementation cycle.

Scalability: Azure Synapse Analytics is praised for its ability to seamlessly scale resources to handle growing data volumes and complex workloads.

Integration: Users appreciate the tight integration with other Azure services, making it easy to build end-to-end data solutions within the Azure ecosystem.

Real-time Insights: The platform's support for real-time data analytics enables users to gain timely insights from streaming data sources, improving decision-making.

Data Security: Azure Synapse Analytics is lauded for its robust security features, including encryption and access controls, ensuring data privacy and compliance.

Data Integration: Users find it user-friendly for integrating data from various sources, simplifying data preparation and analysis.

Performance Optimization: The platform's query optimization and caching mechanisms enhance query performance, even with complex analytical workloads.

Collaboration: Its collaborative workspace fosters teamwork among data professionals, improving productivity and knowledge sharing.

Machine Learning Capabilities: Users appreciate the integration with Azure Machine Learning, allowing them to leverage AI and machine learning for advanced analytics.

Cost Management: Azure Synapse Analytics offers cost-control features that help users manage their data analytics expenses effectively, ensuring cost-efficiency.

Global Reach: Its availability in multiple Azure regions ensures global accessibility and low-latency data processing for organizations with international operations.

Cost: Pricing plans are inflexible and can be cost-prohibitive for small organizations and startups, though large organizations may find that it offers high value, as stated by 93% of users who mention its cost.

Performance: Approximately 42% of users say that performance-wise, this platform is resource-hungry and liable to slow down when crunching large amounts of data on local machines.

User Interface and Graphics: Of users who mention user interface, around 44% say that it needs improvement in deep-dive capabilities, as well as its quality of graphics.

Reporting: Of users who mention reporting, approximately 46% say that it lacks ad-hoc reporting and built-in reporting capabilities, requiring paid plugins to enhance the graphics quality of reports.

Cost Complexity: Some users find managing costs in Azure Synapse Analytics complex, as resource scaling and query optimization may require careful monitoring to avoid unexpected expenses.

Learning Curve: There's a learning curve associated with the platform, especially for users new to Azure services, which can slow down initial adoption and implementation.

Data Volume Challenges: Handling extremely large data volumes can be challenging and may require additional resources, impacting overall cost-effectiveness.

Integration Complexity: While Azure Synapse Analytics integrates well with Azure services, some users have reported challenges when integrating with external systems, which may require custom solutions.

Resource Scaling Time: Scaling resources up or down can take time, affecting immediate query performance during resource adjustments.

Storage Costs: Users have noted that storing data in Azure Data Lake Storage, a common practice, can add to overall costs that need to be carefully managed.

Complex Queries: Executing complex queries may lead to longer processing times and higher resource consumption, impacting query performance and costs.

Resource Provisioning: Some users have experienced challenges when provisioning resources, requiring careful planning and allocation.

Offline Work Limitations: Certain features may require an active internet connection, limiting offline work capabilities, which could be a drawback in specific scenarios.

Support: A few users have reported concerns about the level of support provided, particularly for resolving complex technical issues.

QlikView is one of the foremost BI solutions in the market today, mainly due to the power of its associative query engine to link data from multiple sources that drives its visually impressive dashboards. With its strong data visualization capabilities, users can perform search and filter through data on-the-fly and conduct deep-dives to glean insights that matter to them. With a fast setup, users can have their first data model up and running in very little time. The software resides in-memory and houses data in RAM for quicker retrieval. With multi-tier access permissions for in-organization users, it enables users to view executive summaries at a glance, while allowing them to drill-down into data to find out more. Sadly, Qlik is now scaling back on improvements and updates for QlikView and focusing on promoting QlikSense instead, a possible reason why its filter and search functions, ad-hoc reporting and graphics are lagging in terms of quality, as mentioned in many user reviews. Also, this platform can prove to be resource-heavy for databases housed on local machines, especially when performing batch update jobs. In addition to inflexible pricing plans and the cost of licensing, quite a few necessary add-ons are paid. In summary, QlikView is one of the leading in-memory BI tools available in the market today and rates excellently with users in terms of data aggregation and visualization capabilities; however, buyers should factor in its pricing plans and other limitations when searching for the perfect BI solution for their enterprise.

User reviews for Microsoft Azure Synapse Analytics generally highlight its strengths in scalability, integration, and real-time analytics. Many users appreciate its ability to seamlessly scale resources and integrate with other Azure services, simplifying end-to-end data solutions. The support for real-time data analytics also receives positive feedback for enabling timely decision-making. However, some users note challenges associated with cost management, citing complexity in monitoring and controlling expenses. There's a learning curve for newcomers, which can slow down initial implementation. Handling large data volumes and complex queries may require extra resources and careful optimization. Integration with external systems can be complex, and resource scaling may impact query performance temporarily. In comparison to similar products, users find Azure Synapse Analytics competitive due to its tight integration within the Azure ecosystem and its machine learning capabilities. Despite some limitations, it is viewed favorably for its potential to deliver scalable, real-time insights and drive data-driven decision-making within organizations.

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FAQ

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