Overview: Qlikview and Skyvia Platform as Business Intelligence Category solutions.
Choosing between Qlikview and Skyvia Platform depends on your specific business intelligence needs. Qlikview excels in comprehensive analytics and custom reporting, supporting large-scale operations with robust vendor support. Skyvia Platform, on the other hand, caters to smaller operations focusing on improved customer relationships and streamlined integration capabilities. Both products cater to distinct user segments, with Qlikview aimed at larger enterprises and diverse industries, while Skyvia serves more niche markets like computer software and education.
Qlikview: QlikView has been replaced with Qlik Cloud Analytics for a cloud-based SaaS deployment. Qlik Sense serves as the on-premises solution.
Skyvia Platform: Skyvia platform enables no-code cloud data integration, backup, and management. Data access is provided via SQL and OData interfaces.
Qlikview and Skyvia Platform: Best Use cases based on the customer satisfaction data
Key Capabilities Supported
Qlikview offers social media analytics, competitive intelligence, and communication management among its many capabilities, making it well-suited for complex data analysis and decision-making. read more →
Skyvia Platform supports workflow and helpdesk management, suitable for businesses seeking to streamline operations and enhance efficiency. read more →
Business Goals
Qlikview helps businesses scale best practices, improve ROI, and increase sales, addressing the needs of companies looking to enhance financial performance. read more →
Skyvia Platform focuses on enhancing customer relationships and acquiring new customers, aligning with businesses aiming to improve client interactions. read more →
Core Features
Qlikview's standout features include extensive custom reports, high-level analytics, and seamless data integration, catering to the needs of data-heavy enterprises. read more →
Skyvia Platform offers integration and migration ease, valuable for users needing efficient data handling and merging capabilities. read more →
Vendor Support
Qlikview provides 24/7, chat, phone, and email support, appealing to enterprises that require reliable, round-the-clock assistance. read more →
Skyvia Platform covers essential support through email, chat, and phone, along with 24/7 availability, matching less complex operations requiring accessible help. read more →
Segments and Industries
Qlikview is used by small to large enterprises across IT, transportation, and financial sectors, reflecting its adaptability and broad application range. read more →
Skyvia Platform finds its primary users in large enterprises and the computer software industry, suitable for niche markets. read more →
Operational Alignment
Qlikview fits well into complex operational workflows, ideal for large organizations needing intricate data processes and analytics insights. read more →
Skyvia Platform is tailored for smaller-scale operations focused on straightforward integration and customer relationship management. read more →
Applying your context and needs changes the comparison
Failure Risk Guidance?
Compliance Risk
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Security & Privacy Risk
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Integration Risk
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Migration Risk
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IT and Other Capabilities
- Low
- Medium
- High
Data
Support
Others
Qlikview in Action: Unique Use Cases
How can Qlikview enhance your Competitive Intelligence process?
How does Qlikview facilitate Communication Management?
How can Qlikview enhance your Customer Feedback Management process?
What makes Qlikview ideal for Funnel Analysis?
Skyvia Platform in Action: Unique Use Cases
What benefits does Skyvia Platform offer for Workflow Management?
News
Latest Qlikview News
Qlik Open Lakehouse Now Generally Available, Giving Enterprises Rapid, AI-Ready Data ...
Qlik Open Lakehouse Now Generally Available, Giving Enterprises Rapid, AI-Ready Data ...
Latest Skyvia Platform News
Major DAC Update: Expanded Database Support, Enhanced Security, and AI-Powered Features - Devart Blog
Devart has released a major update to its Data Access Components (DAC) product line, enhancing database support, security, and AI capabilities. The update includes integration with RAD Studio 13 Florence and Lazarus 4.2, improved HTTP tunneling, and smarter connection handling. Notable improvements include support for the Vector data type in MySQL and MariaDB, facilitating AI-driven applications like semantic search and image recognition.
