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Matterport vs Stardog Enterprise Knowledge Graph Platform comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Matterport
Ranking in AWS Marketplace
20th
Average Rating
8.0
Number of Reviews
6
Ranking in other categories
No ranking in other categories
Stardog Enterprise Knowledg...
Ranking in AWS Marketplace
10th
Average Rating
7.6
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2026, in the AWS Marketplace category, the mindshare of Matterport is 0.2%, up from 0.1% compared to the previous year. The mindshare of Stardog Enterprise Knowledge Graph Platform is 0.4%, down from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AWS Marketplace Mindshare Distribution
ProductMindshare (%)
Stardog Enterprise Knowledge Graph Platform0.4%
Matterport0.2%
Other99.4%
AWS Marketplace
 

Featured Reviews

CA
Resource Technology Senior Vdc Engineer at reiSource
Detailed 360° site capture has transformed project documentation and now streamlines insurance claims
Matterport needs to find a way to do what they are doing with SLAM instead of terrestrial. The biggest drawback to Matterport these days, and why other tools are being used, is that you only have a certain amount of time to capture data, and unfortunately, terrestrial devices do not really allow for that. Second, you have not made it permanent for manually aligning captures in the Matterport app. Every now and then it allows me to do a manual align, but that needs to be a standard feature. Instead of saying, 'I cannot find any alignment, please scan again,' it should give me the option of just moving the alignment myself. I understand that Matterport is built for you to need to do things in a certain sequence, but the reality is that sometimes I have to go back to rooms later on. Sometimes there are rooms that are symmetrical, and in those cases, it can really help if you have some user input. It saves a lot of time and it saves a lot of capture time. On top of all of that, the actual application itself is very unstable. You reach a certain amount of captures and the device does not work anymore. But then that messes up the entire workflow. If the project is too big to work on the app and I have to build another one, I need to create two projects and then wait for those to merge. And then I have to take both projects individually and align them to each other and let that merge again. So now I am talking about waiting a day for the thing to automatically align, and then I have to merge it manually, and then wait a day for those results. So instead of getting results in one day, I have to do it in two days, and it is all because of the reliability of the application. I think that Matterport is overpriced. At this point, there should be some SLAM integration with maybe terrestrial as an anchor if needed. And if they want to push all of these products such as CAD and point clouds from their data sets, then they should truly work on making sure that that data is accurate enough for what it needs to do. The market is oversaturated with people with Matterport devices trying to do Lidar jobs, but the accuracy is not good enough. Getting a CAD plan exported, but it is not a vector, and it is a locked-down PDF essentially makes it useless. If you want to keep things locked down and not able to be vectorized, then that seems to say a lot about the accuracy, in which case point clouds and vector CAD should not be available at all. I think that there is much to be improved. There should never be a situation where Matterport cannot find data to match and it asks me to rescan. At the end of the day, if it was using photogrammetry and something such as lighting was the reason why it cannot find any alignment points, that would be one thing, but you have Lidar included. So if you have Lidar, that means there are overlapping points, and if there are overlapping points, there should always be a match. If you cannot find a match, that means that your algorithm is not mature enough or your Lidar data is not actually accurate enough. The scalability is pretty low, considering the fact that the price to scale up sites is already immensely high, and there is no benefit to having multiple devices at a time. You can capture a site faster, but as I said, it ends up taking the same amount of time by the time it auto-processes it, I manually merge, and then have to wait for that merger to process. Somebody can go and get half of it done in one day, half of it done in another, and it will take the same amount of time. Matterport needs to find a way in its apps to allow me to merge prior to doing the full processing, so that way I do not lose that same time twice. Pricing is pretty straightforward, but it is overpriced. That is the reason I found a solution to take my Matterport spaces down and put them on a local desktop so that way it can be embedded, shared, or kept locally. The first reason is for security purposes. The second reason is because the price is entirely too high, but I understand that once you are in this ecosystem, it is hard to leave. There is only a tool, I think Doxel, which will allow me to transfer over Matterport projects into their ecosystem so that at least on their site, I can access the scans done for Matterport as well as from their own software. But there is no solution to actually take your data from Matterport and move it somewhere else. So once you join, you are basically locked in. And the unfortunate thing is that it is really set up for real estate tours as far as the pricing is concerned. So if you are using it for anything other than that, you are definitely overpaying.
Bhaumik Ganatra - PeerSpot reviewer
Senior Power BI consultant at a financial services firm with 1,001-5,000 employees
Rich graph queries have streamlined reporting but support still needs improvement
In my experience with Stardog Enterprise Knowledge Graph Platform, many graph platforms do not have a very user-friendly client experience. What I found was that Stardog Studio had a very rich client experience in which we were able to fire queries and do many things through drag-and-drop functionality. That was one of the best features I found in Stardog. The rich client experience and drag-and-drop functionality in Stardog Studio made my work easier because my main use case to use Stardog was to retrieve the data which I needed in my Power BI data model. I was using it to fire SPARQL queries and get the exact data that I wanted. One of the best features that I liked was whenever I fire a query, the query runs quicker because I am only getting the top 100 or top 1000 records for my result. If I wanted the full data in my result, I just needed to tweak it a bit and then I would get my full result. The other feature was being able to export that data in any format that I need. Stardog Enterprise Knowledge Graph Platform has positively impacted my organization since it has been used for more than four to five years, and everyone has been positively affected by the use of it. It was a tool that was used to store our very complex data in the form of data structure, and it was efficiently managed by Stardog.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Matterport positively impacts my organization because what you see is what you get, capturing the authenticity of the spaces, thereby cutting down potential client issues since the representation is true to the actual space."
"Matterport has given me an option to document site progress without having to use cameras and rely on subcontractors who often miss out on imagery."
"Matterport is basically an international standard that allows, in and of itself, to make contact with customers, create new customers and retain them, and offer cutting-edge technology."
"I estimate that we save about 60% of the time that would be spent going back to the site to keep re-measuring and confirming."
"Matterport has impacted my organization positively because we don't have to all go to the construction sites."
"Matterport is a very handy software; it is very user-friendly, and I love using it while working."
"Stardog Enterprise Knowledge Graph Platform has positively impacted my organization since it has been used for more than four to five years, and everyone has been positively affected by the use of it."
"They have beautifully built these AI capabilities, and they work very well."
 

Cons

"I personally use the Pro2 version of Matterport, which uses infrared detectors, but I find scanning outdoors frustrating because its accuracy is affected by sunlight."
"I think Matterport could be improved with better integration with CAD systems."
"Regarding accuracy, Matterport's accuracy is basically good, but not the very best because, as I mentioned earlier, it shows the ducts and everything; it does not show the proper imagery system or the accurate output in results."
"One way Matterport can be improved is that capturing using the Matterport camera tends to be quite bulky and slow."
"Regarding Matterport's scalability, I find it very difficult to assess because it is very expensive."
"The scalability is pretty low, considering the fact that the price to scale up sites is already immensely high, and there is no benefit to having multiple devices at a time."
"My experience with customer support for Stardog Enterprise Knowledge Graph Platform was a bit weak because the problem that we told Stardog support was very basic, and they were not able to get an answer to that for months."
"Another software called Neo4j provides some more features compared to Stardog Enterprise Knowledge Graph Platform."
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Top Industries

By visitors reading reviews
Construction Company
43%
Outsourcing Company
7%
Manufacturing Company
7%
Insurance Company
5%
Insurance Company
22%
Construction Company
21%
Outsourcing Company
11%
Comms Service Provider
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Matterport?
The recurring costs for Matterport are reasonable, with the costs of acquiring the device, especially the latest one, the Matterport Pro2, being more than €5,000. Obviously, one always hopes that t...
What needs improvement with Matterport?
I think Matterport could be improved with better integration with CAD systems. The quality of the output files of Matterport could have higher quality and better integration with platforms used by ...
What is your primary use case for Matterport?
My main use case for Matterport is with real estate agencies on the Andalusian coast, primarily to create virtual tours for remote sales or at least remote lead generation for foreign clients.In a ...
What needs improvement with Stardog Enterprise Knowledge Graph Platform?
I found that some of the documents are not up to date. Sometimes they update the software, but they do not update the documentation on time. This is one of the drawbacks I have seen. Another softwa...
What is your primary use case for Stardog Enterprise Knowledge Graph Platform?
Stardog Enterprise Knowledge Graph Platform is a knowledge graph platform where we store triples, which are RDF compliant data in the database. In the project, we have a home comfort domain with di...
What advice do you have for others considering Stardog Enterprise Knowledge Graph Platform?
I recommend using the AI capabilities more, as that will help you develop faster and more accurately. Using AI in Stardog Enterprise Knowledge Graph Platform is very useful. I would rate this revie...
 

Overview

Find out what your peers are saying about Matterport vs. Stardog Enterprise Knowledge Graph Platform and other solutions. Updated: July 2026.
909,725 professionals have used our research since 2012.