Struggling to choose between SQL Server Reporting Services and LogiXML? Both products offer unique advantages, making it a tough decision.
SQL Server Reporting Services is a Business & Commerce solution with tags like reporting, analytics, dashboards, data-visualization.
It boasts features such as Interactive reporting, Scheduling, Report subscriptions, Report parts, KPIs, Pixel-perfect reports, Variety of data sources and pros including Tight integration with SQL Server and other Microsoft technologies, Wide range of report types and visualizations, Scalable and enterprise-ready, Flexible deployment options (on-premises or cloud), Robust security and permissions management.
On the other hand, LogiXML is a Business & Commerce product tagged with dashboards, reports, data-visualization, etl.
Its standout features include Drag-and-drop interface for building dashboards, Pre-built widgets and visualizations, Self-service analytics, Embedded analytics, Data connectivity to various sources, Scheduling and distribution of reports, Mobile app for accessing analytics, Collaboration tools, and it shines with pros like Intuitive interface for business users, Good performance with large datasets, Broad data connectivity, Can be embedded into apps, Scales to large deployments.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
SQL Server Reporting Services (SSRS) is a server-based reporting platform from Microsoft that allows users to create and deliver pixel-perfect reports from a variety of data sources. Key features include interactive reporting, scheduling, report subscriptions, report parts, and KPIs.
LogiXML is a business intelligence and analytics platform that allows organizations to create dashboards, reports, and data visualizations. It provides tools for extracting, transforming, and loading data from various sources.