Are you looking for a way to build professional reports with data from a SQL Server that is better than SQL Reporting Services? InetSoft's cloud-flexible solution can query Microsoft SSAS cubes through MDX and mash up data with other enterprise data sources wherever they are hosted.

With an easy to use report building application analysts and developers can build the reports they need while providing flexible design and layout options, including a scripting option for very specific needs.

InetSoft's solution provides a shallow learning curve for business users of the web-based interactive reports. They can even create basic reports with only Excel-level skills.

About InetSoft

Since 1996 InetSoft has delivered easy, agile, and robust business intelligence software that enables organizations and solution providers of all sizes to deploy or embed full-featured BI solutions. Highlights include visually compelling interactive dashboards plus pixel-perfect report generation, scheduling, and bursting.

InetSoft's patent-pending Data Block technology enables reuse of queries and end-user defined data mashup. Combined with efficient information access, this allows maximum self-service for business users, IT administrators, and developers. InetSoft solutions have been deployed at thousands of organizations worldwide across many industries.

Read the top 10 reasons for selecting InetSoft as your BI partner.

10 InetSoft Articles About SQL

• Data Mashup Engine

  Explains how InetSoft connects directly to SQL databases and uses a data-mashup engine to combine relational data with cloud and non-relational sources for dashboards and reports. The article highlights the platform’s flexibility — empowering both skilled query designers and self-service users with point-and-click tools. It emphasizes quick visualization and interactive delivery of SQL-driven results within the same web app. :contentReference[oaicite:0]{index=0}

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• Cloud-Flexible SQL Server

  Describes InetSoft’s SQL Server report builder as a cloud-flexible solution that can be deployed on-premise or in public/private clouds close to critical data. It focuses on delivering pixel-perfect reports and interactive dashboards while remaining friendly for information consumers who need quick access to relational data. The write-up stresses deployment flexibility and the speed with which users can build reports from SQL sources. :contentReference[oaicite:1]{index=1}

• Drag-and-Drop Query Design

  Introduces InetSoft’s web-based, drag-and-drop query design tools for creating SQL reports without hand-coding SQL for every report. The article covers how designers can build reports from nearly any database and accelerate delivery with mentoring and example libraries. It argues that visual query design reduces dependence on SQL experts for many common reporting tasks. :contentReference[oaicite:2]{index=2}

• Control An SQL Dashboard

  Walks through controlling SQL-driven dashboard queries inside the Style Intelligence environment, including how to view and inspect executed SQL plans. The page is practical: it shows example dialogs and tips for examining the SQL statements a table will run, which helps debug and optimize dashboards. It positions transparency into query execution as a core capability for developers and power users. :contentReference[oaicite:3]{index=3}

• SQL Predicates And Expressions

  Covers simple expressions and SQL predicate usage supported by InetSoft’s BI software to create advanced logic and dataset filters. The article lists supported expression syntaxes and demonstrates how predicates can be applied at the data model and mashup layers to shape SQL-derived datasets. It’s a hands-on resource for builders who need to apply conditional logic without changing source SQL. :contentReference[oaicite:4]{index=4}

• SQL Reporting Services Uses

  Explains different use cases for SQL reporting services (SSRS) and contrasts typical SSRS scenarios with InetSoft’s approach to user adoption and self-service. The page highlights operational reporting, scheduled distribution, and how a more self-service-friendly tool can raise user adoption. It positions InetSoft as an alternative that aims for broader end-user uptake while still supporting classic SSRS tasks. :contentReference[oaicite:5]{index=5}

• Cloud-Flexible Reporting Software

  Describes InetSoft’s reporting software capabilities for accessing SQL Server and other relational databases, emphasizing easy deployment and enterprise features. The piece lists benefits such as real-time access, library examples, and production-ready reporting features that lower the barrier for SQL-based reporting projects. It frames the product as both developer-friendly and approachable for operational report distribution. :contentReference[oaicite:6]{index=6}

• Connectivity And Data Access

  Outlines the history and positioning of InetSoft as a provider of SQL reporting tools, focusing on extensive data access (JDBC, OLAP, flat files) and data mashup across multiple sources. The article emphasizes features like security controls, ERWin import, and custom adapters that make SQL data integration easier for enterprises. It presents InetSoft as a mature option for teams needing broad connectivity and mashup-driven reporting. :contentReference[oaicite:7]{index=7}

• StyleBI For SQL Server

  Surveys the role of dashboard software for SQL Server environments and highlights StyleBI as an option for building interactive SQL Server dashboards with drag-and-drop design and data mashup capabilities. The article compares StyleBI’s strengths—real-time updates and multi-source integration—with other popular dashboard tools. It’s useful for teams evaluating dashboard solutions specifically for SQL Server-hosted data. :contentReference[oaicite:8]{index=8}

• Building A Dashboard For SQL Server

  Provides practical guidance for building dashboards that source data from SQL Server, explaining design patterns and deployment considerations for SQL-driven visualizations. The write-up stresses quick development, self-service publishing, and examples that demonstrate how to present KPI-driven visuals from relational sources. It reads like a how-to primer for teams moving SQL Server metrics into interactive dashboards. :contentReference[oaicite:9]{index=9}

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