Industry Specialties: Serves all industries.
Based on 30 reviews:
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BIRT is ranked #6 in the Data Analytics Software product directory based on the latest available data collected by SelectHub. Compare the leaders with our In-Depth Report.
Based on our most recent analysis, BIRT pricing starts at $0 (Open-Source).
BIRT is supported with the following types of training:
The following support services are available for BIRT:
Average customer reviews & user sentiment summary for BIRT:
30 reviews
80%
of users would recommend this product
Based on an aggregate of BIRT reviews taken from the sources above, the following pros & cons have been curated by a SelectHub Market Analyst.
Reviews for BIRT paint a picture of a user-friendly report designer with a loyal following, particularly among those new to report building. Its drag-and-drop interface and pre-built templates are praised for streamlining report creation compared to coding-heavy solutions. This is a major advantage for businesses that need reports up and running quickly, without tasking developers.
BIRT shines in its ability to connect to various data sources, eliminating the need for complex data extraction steps. This is a big win for teams working with data scattered across spreadsheets, databases, and even flat files. While BIRT offers strong core functionality, some reviewers mention a steeper learning curve for advanced features. For instance, users who need to wrangle massive datasets or create highly customized data visualizations might find BIRT limiting compared to more feature-rich (and often pricier) competitors. Similarly, BIRT's mobile capabilities are seen as less robust than some competing products. This can be a dealbreaker for teams that prioritize mobile reporting for field staff or remote workers who need real-time access to reports.
In conclusion, BIRT is a solid choice for businesses seeking a cost-effective and user-friendly solution for generating basic to moderately complex reports. Its strength lies in its ease of use, data source flexibility, and affordability. However, those working with exceptionally large datasets or requiring a highly customized mobile reporting experience might be better served by exploring feature-rich alternatives.
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