Choosing InetSoft StyleBI Over Avora

When deciding which Business Intelligence (BI) software is best, the choice may be rather difficult, especially with so many options. In addition to experts and thought leaders in the field, reading reviews written by everyday users of a particular BI platform is a great way to help narrow the decision. When recently placed head to head in ratings by research firm G2 Crowd, InetSoft outranked BI provider Avora in a majority of categories. This page will provide a breakdown of the various categories in which InetSoft outranked Avora.

A good BI platform will provide business users with an intuitive, easy-to-read, easy-to-use tool for monitoring their activities. When visual analytics are created properly the users are treated to highly balanced visualizations and data to enable the objectives of the organization. The Rating section of the G2 Crowd endorses just that, where InetSoft won over Avora in Meets Requirements, Ease of Use, Ease of Setup, Ease of Admin, Quality of Support.

The overall majority of the Ratings were dominated by InetSoft, which comes as no surprise as InetSoft's core objective is to implement BI software in an effortless and trouble-free way.

Read how InetSoft saves money and resources with deployment flexibility.

An Avora Alternative with Better Self-Service

To maximize competitiveness, enterprises have to adopt ways in which business users can quickly and easily get the required information. This can be made possible only when business users can get rich, right, and real information as easily as they get information from a Google search. The G2 crowd reviews rated InetSoft StyleBI higher than Avora as it helps enterprises achieve their goals with a maximum Self-Service mission. In the category of Self Service, InetSoft won over Avora in Calculated Fields, Data Column Filtering, Data Discovery, and Search. InetSoft's BI product eliminates inordinate delay in decision-making and extra dependencies on IT. This has reduced the overall cost of business intelligence resulting in lower operating costs, increased productivity, higher customer satisfaction, and most importantly a better climate among employees of an organization - both in IT and in the business.

The unique data mashup feature of StyleBI makes it possible to combine any type of data into one visualization. Users create data mashups through InetSoft's data block, enabling fields from different data sources to be joined together in a Lego-like block fashion, with a few clicks of a mouse. Advantages like these are what brought InetSoft winning ratings in Data Transformation, WYSIWYG Report Design and Integration API's.

List of Parameters where InetSoft was Evaluated Higher than Avora

The detailed list of categories & parameters where InetSoft StyleBI scored over Avora is presented below. Please click here or the G2 logo to go over the individual reviews.

Ratings
  • Meets Requirements
  • Ease of Use
  • Ease of Setup
  • Ease of Admin
  • Quality of Support
Platform
  • Sandbox/Test Environments
  • User, Role, and Access Management
Self Service
  • Calculated Fields
  • Data Column Filtering
  • Data Discovery
  • Search
  • Collaboration/Workflow
Building Reports
  • Data Transformation
  • WYSIWYG Report Design
  • Integration APIs
Reports & Advanced Analytics
  • Data Visualization
  • Big Data Services

InetSoft Strengthens Information Delivery and Analysis of an Enterprise

InetSoft was also found to be better in the Reports Interface, Steps to Answer parameter, in the Report category, in Big Data Services and in the Advanced Analytics category. These real G2 crowd ratings showcase InetSoft's strength for delivering information and analysis. StyleBI software uses a visual approach to build reports and visualizations, allowing complex views to be built with a simple drag and drop user interface. Once IT has completed the initial steps of defining data sources, business users can create their own worksheets, which contain combined fields from multiple data sources.

InetSoft's software can run on Windows, Mac, Linux, and can also be accessed remotely from any workplace. InetSoft exceeded Avora in Sandbox/Test Environments, and User, Role and Access Management which were measured under the Platform category.

InetSoft helps Automate Business Monitoring and Management

As an enterprise grows, so does its need for report making software that will automate business monitoring and management. Better sales numbers, more salespeople, more clients and accounts to manage also means more products to ship and track, more employee information to file, and more daily variables to react to.

InetSoft designed StyleBI is a responsive, effortless, report making BI platform that helps an enterprise build informative reports immediately. Its dashboard systems user interface allows for the production of intricate affiliation and performance metrics in a simple to understand and easy process. This greatly reduces the learning curve for all those involved while still providing an effective means of expressing important data. InetSoft offers the most efficient tool to help business users reach that end and meet the needs of companies of any size and industry.

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

Advantages of InetSoft over Avora

A focused comparison between InetSoft Style Intelligence and Avora highlights several areas where InetSoft commonly provides advantages for organizations prioritizing flexible integration, lightweight deployment, and broad self-service capabilities. InetSoft’s product emphasizes a patented data mashup engine, a 100% web-based designer that targets both developers and business users, and a small-footprint architecture designed for rapid deployment and efficient resource use. These strengths translate into faster time-to-insight for mixed technical audiences and simpler operational overhead for IT teams.

Advantage What it means Practical impact
Data mashup engine Real-time virtual data modeling and the ability to combine disparate sources on the fly without building heavy ETL pipelines. Faster prototyping and fewer upstream data engineering bottlenecks: dashboards and reports can join live data from databases, web services, spreadsheets and OLAP sources without waiting for centralized warehouse changes.
100% web-based designer and strong self-service A single web application for designers, power users, and casual business users that supports ad-hoc exploration, calculated fields and column filtering in the UI. Reduces reliance on IT for routine dashboard changes; business teams iterate and tailor visualizations directly, improving decision cadence and reducing ticket backlog.
Small footprint, cloud-first architecture Optimized memory and CPU usage with a design that scales horizontally without a heavy infrastructure footprint. Lower infrastructure cost and simpler operations for cloud or on-prem deployments. Enables deployment in constrained environments or as a lightweight tenant in multi-tenant setups.
High-performance caching and incremental updates Administrative control over caching strategies, scheduled or on-demand incremental cache refreshes, and an emphasis on performance tuning for large datasets. Better dashboard responsiveness for complex datasets and predictable SLAs for end-users; operational teams can balance freshness vs. performance to meet business needs.
Flexible connectivity and broad data source support Designed to connect to JDBC sources, cloud services, multidimensional stores, spreadsheets and common enterprise systems with reusable data blocks. Reduces the need for data reshaping before analysis and accelerates multi-source analytics projects by minimizing integration gaps.
Rich reporting and embedded paginated reports Interactive dashboards plus traditional paginated reporting capabilities within the same platform. Enables operational reporting and executive visual analytics from one product, reducing the number of point tools and simplifying governance.
Deployment flexibility and multi-tenancy Options for cloud, on-premises, and multi-tenant configurations with administrative controls aimed at enterprise use. Supports varied enterprise architectures—from single-team deployments to embedded analytics in SaaS offerings—without wholesale reengineering.
Demonstrated comparative strengths in self-service Evaluations and feature analyses highlight stronger capabilities in calculated fields, discovery, and in-UI data manipulation. Organizations that prioritize exploratory analytics and end-user autonomy typically see faster adoption and fewer IT-managed report requests.
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