Apache Marmotta Ratings (September 2025)
This page breaks down Apache Marmotta ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand Apache Marmotta’s overall reputation. This data-driven overview will show you exactly how Apache Marmotta is rated - including how it compares to competitors.
Apache Marmotta's Overall Rating Summary
- Average Rating:5.0/5
- Total Reviews:2 reviews
- Sources:G2
- Last updated:September 1, 2025
Apache Marmotta Ratings by Source
| Platform | Rating | Reviews | Last Update |
|---|---|---|---|
 G2 | 5/5 | 2+ reviews | 01.09.25 |
What is Apache Marmotta?
Apache Marmotta is an open platform for Linked Data, providing an open implementation of a Linked Data Platform that can be easily used, extended, and deployed by organizations. Key features include a Read-Write Linked Data server for the Java EE stack, pluggable RDF triple stores based on Eclipse RDF4J, LDP, SPARQL, and LDPath querying, transparent Linked Data caching, and integrated basic security mechanisms. It supports custom triple stores with transactions, versioning, and rule-based reasoning.
🤔 Apache Marmotta vs Competitors: How Do Ratings Compare?
Check out Apache Marmotta AlternativesFrequently Asked Questions
How trustworthy is Apache Marmotta?
According to G2 review site Apache Marmotta holds rating of 5/5, highlights excellent reputation and user approval as of September 2025.
How many stars is Apache Marmotta rated?
Apache Marmotta has an average star rating of 5.0 out of 5 stars based on average of 2 reviews as of September 2025.
Where does the rating data come from?
The ratings are pulled from Apache Marmotta public reviews pages on platforms: G2. We update these ratings monthly to ensure they reflect the most current customer feedback.
How overall average rating for Apache Marmotta is calculated?
The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.