Stardog Enterprise Knowledge Graph Platform Reviews

My main use case for Stardog Enterprise Knowledge Graph Platform was to keep our data in graph format in my previous organization, wherein the entire data model which I used in Power BI included Stardog as one of the data sources. While creating the data model, I was using Stardog Studio to modify or retrieve the actual data that I wanted in my Power BI model. I used to fire SPARQL queries in Stardog so that I could get my result.

A quick, specific example of how I used Stardog Enterprise Knowledge Graph Platform in one of my Power BI projects is that Stardog is considered a very robust platform, a graph platform, which was used in my organization to store graph format data. I used it, and while connecting it with Power BI, I was using an ODBC connector, such as the BI connector that is given with Stardog. That was the method of how I used it.

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.

I don't know what can be improved in Stardog Enterprise Knowledge Graph Platform since I was not working as a main developer in the Stardog team. For me, it was all acceptable when I used Stardog.

Maybe support for Stardog Enterprise Knowledge Graph Platform can be better, but there is nothing else I would mention.

I have been using Stardog Enterprise Knowledge Graph Platform for around two years ago and had been using it till six months ago. That was in my previous role.

In my experience, Stardog Enterprise Knowledge Graph Platform can be stable.

Stardog Enterprise Knowledge Graph Platform handles increasing data volumes well.

There was a difficult scenario when I was first connecting Stardog Enterprise Knowledge Graph Platform with Power BI through ODBC connector, because at that time there was an issue where the actual connector port was not enabled from my client's side. When we asked this particular query to Stardog support team, they were not able to resolve it for months. Around three to four months they were not able to resolve this query, so it was a very difficult task to connect Power BI with Stardog ODBC.

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. It is considered weak support.

I would rate Stardog Enterprise Knowledge Graph Platform around seven out of ten.

I chose seven out of ten because I have heard from my colleagues who were working on Stardog development that there were some features missing or it could be a bit better. The type of problem that I faced in the support has taken out three points. My overall review rating for Stardog Enterprise Knowledge Graph Platform is seven out of ten.

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 different appliances. We store all the home comfort data in Stardog Enterprise Knowledge Graph Platform.

One of the features is the LLM-based voice box, which allows you to talk to your database using natural language. This LLM-based feature means you do not need to write all the SPARQL queries, those large queries. When you tell the LLM in natural language what fields and data you need from the triples, you can retrieve it using natural language without writing thousands of lines of query.

I would add information about ontology. In Stardog Enterprise Knowledge Graph Platform, you can create the ontology and the model. The model can now be created with the help of LLM as well. If you want to create a model, you can share the use case, stating the different data such as product, product customers, and sales count. You can give the data in a CSV file and provide the LLM with the use case, and it will create an ontology for you.

Stardog Enterprise Knowledge Graph Platform is highly secure because the answers are not hallucinated. The data comes from your database only, not from the LLM trained data. I am confident that the LLM-based capability of Stardog Enterprise Knowledge Graph Platform is excellent. They have beautifully built these AI capabilities, and they work very well.

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 software called Neo4j provides some more features compared to Stardog Enterprise Knowledge Graph Platform. That is the reason I have given a lower rating to Stardog Enterprise Knowledge Graph Platform. We have lost a few customers, but now Stardog Enterprise Knowledge Graph Platform has also started offering the ability to scrape entities and relationships from unstructured data, such as PDF and DOC files. This feature was not available earlier, but now they are providing it.

I have been using Stardog Enterprise Knowledge Graph Platform for more than four years.

Stardog Enterprise Knowledge Graph Platform is very stable.

It is very highly scalable. You can store a large amount of data.

The customer service is very good. The only drawback is that they are located in the US right now. Recently, they have opened an office in India during IST hours. They provide very good support.

We have used another graph database platform called Anzo. We had security issues and features issues with Anzo. The main reason was the security, and we had a lot of trouble with it. That led us to move from Anzo. Anzo is from the Cambridge Semantics stack. We moved from Anzo to Stardog Enterprise Knowledge Graph Platform.

The initial setup is very good and cheap. The setup required very little.

We do save money from Stardog Enterprise Knowledge Graph Platform. We have compared between different graph databases, and we found that you can get Stardog Enterprise Knowledge Graph Platform Enterprise license compared to other graph databases for a much lower price.

The pricing is very less compared to other graph databases. For setup cost, all you need is a VM. If you have a VM, you can set up Stardog Enterprise Knowledge Graph Platform easily.

We have evaluated Ontotext GraphDB.

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 review an 8 overall.