TigerGraph serves as a graph database to model accounts and transactions as edges for our company. In our organization, we implement TigerGraph in an application called Hi HQ. We deal with a large amount of interconnected data, such as customer, transaction, and product relations, so we needed to implement a solution that can effectively analyze highly connected data. We modeled entities like customers, products, and transactions as nodes, and their interactions as edges. Using this, we built graph analytics workflows to traverse the relationships quickly and identify patterns such as suspicious activity and customer behavior trends.
TigerGraph Cloud Classic
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Graph analytics have transformed fraud detection and real-time insights for transaction data
What is our primary use case?
How has it helped my organization?
TigerGraph has positively impacted our organization as we needed to deal with a large volume of datasets like customer transactions and product interactions. The goal was to implement a system that can easily and efficiently provide complex relationships in the data and facilitate faster insights. We implemented TigerGraph to model our data as nodes and relations using its analytic capabilities and parallel processing architecture. We built queries that could traverse multiple connections and analyze patterns much faster than before, significantly improving our ability to analyze connected data, reducing query processing time, and enabling faster decision-making. It helps our team uncover hidden relationships in data, improving our operational efficiency and analytical capabilities.
Since we needed to reduce the query execution time in our application, it has reduced it by up to 60%. Data relationship analysis that used to take minutes is now reduced to seconds, and we can process multiple millions of relationships in real-time, which provides significant value.
We have seen a return on investment since query processing has improved to under 30 seconds, and our analytic team's productivity has improved by 30%. The infrastructure cost has reduced as fewer complex queries are now required. Previously, if three people were needed for an analysis, it can now be handled by one member, and the business team receives insights much faster, improving the speed of decision-making.
What is most valuable?
The best feature of TigerGraph is the interconnectivity, which is very good for our needs as we were looking for highly connected data such as customer transactions. We needed our database to provide solutions for complex relationship queries quickly, and we can scale it with a large dataset. We adopted TigerGraph because it has massively parallel processing, real-time graph analytics, and deep link multi-hop queries.
I find the GSQL query feature to be the most reliable because it is a powerful SQL-like query language designed for graph analytics and complex pattern matching, which is the best aspect of TigerGraph.
Scalability is one of the key factors why we chose TigerGraph, as it provides fast analytics when the dataset increases and meets our needs very well.
What needs improvement?
TigerGraph can improve on certain factors, particularly the simple query language, as the learning curve can be very hard for new users or beginners. The visualization tools could also be improved.
For new developers, especially those who are freshers, the learning curve for the simple query language should be made easier because it is relatively harder for them to learn without much experience in any tech stack. I have a few team members who are freshers, and it is relatively harder for them to learn this kind of solution.
For how long have I used the solution?
I have been using TigerGraph for the past 1.5 years.
What do I think about the stability of the solution?
TigerGraph is very stable.
What do I think about the scalability of the solution?
Scalability is one of the key factors why we chose TigerGraph, as it provides fast analytics when the dataset increases and meets our needs very well.
How are customer service and support?
I have not needed customer support for any tasks, but I think it is good.
Which solution did I use previously and why did I switch?
We did not use any different solution prior.
How was the initial setup?
TigerGraph is deployed in our organization in a public cloud environment with TigerGraph servers set up in our organization's cloud environment. The deployment involves setting up TigerGraph servers in our organization's cloud environment.
What about the implementation team?
We are just a buyer and do not have any other business relationship with this vendor.
What was our ROI?
Since we needed to reduce the query execution time in our application, it has reduced it by up to 60%. Data relationship analysis that used to take minutes is now reduced to seconds, and we can process multiple millions of relationships in real-time, which provides significant value.
We have seen a return on investment since query processing has improved to under 30 seconds, and our analytic team's productivity has improved by 30%. The infrastructure cost has reduced as fewer complex queries are now required. Previously, if three people were needed for an analysis, it can now be handled by one member, and the business team receives insights much faster, improving the speed of decision-making.
What's my experience with pricing, setup cost, and licensing?
I do not know much about the setup cost and pricing, as I did not set it up. The initial setup is a little costlier compared to traditional databases, but it is justified for our organization's needs.
Which other solutions did I evaluate?
Before choosing TigerGraph, we evaluated Amazon Neptune, which is a fully managed graph database service available on AWS that supports both property graph and RDF model.
What other advice do I have?
If your application or company needs a platform that will grow and handle datasets growing into millions in the near future, and if your company has the budget for TigerGraph, then you should go for it. It may be a little costly, but it ultimately provides very fast analytical capabilities of datasets, which is great. I would rate this product a 9 out of 10.
Exploring the Power of Graph with Tigergraph
What do you like best about the product?
Tigergraph is a powerful graph database excels at handling large datasets enabling quick queries and real-time analytics even with complex data.It also has built-in ML capability hence hence making it ideal tool for fraud detection and customer 360 toolkit.There is also built-in visualization tool within Tigergraph called Insights.
What do you dislike about the product?
Tigergraph is still in development so its bit challenging also it has steep learning curve . Insights also doesnt have much customization options. Cost comparetively high so its difficult to get apated by smaller organizations.
What problems is the product solving and how is that benefiting you?
One of the major issue Tigergraph is solving is uncovering hidden patterns and insights with vast datasets which can be difficult in traditional databases.It allows business's to perform deep-link analysis and multi-hop queries hence making it able to detect fraud ,optimize supply chains etc.
TigerGraph used for CPG domain solution
What do you like best about the product?
The ease of creating the graph using queries and inhouse graph db platform
What do you dislike about the product?
Complex visualisation of graphs on the platform
What problems is the product solving and how is that benefiting you?
It helped us understand and connect our client's supply chain life cycle and provide based on this graph
Great platform on machine learning and analytics
What do you like best about the product?
Better and faster than others also having a good query performance. Using tegergraph is easy.
What do you dislike about the product?
Just one thing, SQL is is bit difficult fo some of us.
What problems is the product solving and how is that benefiting you?
We mostly use SQL database so it is useful for us to work with tigergraph as it is good in SQL database.
The Ultimate Solution for Unmatched Scalability and Analytical Power in Graph Databases
What do you like best about the product?
After conducting extensive evaluations of numerous graph databases available on the market, TigerGraph has emerged as the only solution that truly scales to meet our ever-growing needs. Its exceptional performance and scalability have solidified its position as our top choice for a graph database.
A key factor that influenced our decision to choose TigerGraph is its SQL-like, feature-rich language. This intuitive language not only supports our production graph use cases but also enables our data scientists and analysts to perform in-depth graph analytics and uncover valuable insights. With its powerful Accumulator functions, TigerGraph has allowed us to harness the true potential of graph analytics like never before, enabling us to tackle complex data challenges that would have been impossible with other technologies.
TigerGraph's unparalleled scalability and comprehensive language capabilities have opened up new possibilities for our team, revolutionizing the way we approach data analysis and decision-making. By leveraging the power of graph analytics with TigerGraph, we are now able to uncover insights and drive data-driven decisions more effectively than ever before.
A key factor that influenced our decision to choose TigerGraph is its SQL-like, feature-rich language. This intuitive language not only supports our production graph use cases but also enables our data scientists and analysts to perform in-depth graph analytics and uncover valuable insights. With its powerful Accumulator functions, TigerGraph has allowed us to harness the true potential of graph analytics like never before, enabling us to tackle complex data challenges that would have been impossible with other technologies.
TigerGraph's unparalleled scalability and comprehensive language capabilities have opened up new possibilities for our team, revolutionizing the way we approach data analysis and decision-making. By leveraging the power of graph analytics with TigerGraph, we are now able to uncover insights and drive data-driven decisions more effectively than ever before.
What do you dislike about the product?
One aspect that could be considered a minor drawback in TigerGraph is the initial learning curve associated with its unique query language, GSQL. However, this concern is effectively mitigated by the fact that GSQL is designed to be similar to SQL, making it easier for users with SQL experience to quickly adapt and become proficient in using it. Furthermore, TigerGraph offers extensive documentation and support resources, which greatly facilitate the learning process and help users overcome this initial challenge. With the advent of GPT-4, most queries can now be AI-generated, effectively resolving this barrier.
In the grand scheme of things, the benefits of TigerGraph's powerful features, scalability, and performance far outweigh this minor inconvenience, making it an excellent choice for organizations seeking a robust graph database solution.
In the grand scheme of things, the benefits of TigerGraph's powerful features, scalability, and performance far outweigh this minor inconvenience, making it an excellent choice for organizations seeking a robust graph database solution.
What problems is the product solving and how is that benefiting you?
Graph Analytics, Friend recommendations, Item recommendations, Community/Influencer detection and Fraud detection.
A Powerful Platform That Gets You Transitioned Into The Graph World
What do you like best about the product?
TigerGraph Cloud is a very powerful platform that gives newcomers into the graph world a lot of ability to deliver right off the bat with its GraphStudio UI.
What do you dislike about the product?
No downside. Just a bit of learning curve in general to adopted to the graph database world.
What problems is the product solving and how is that benefiting you?
Complex manufacturing analytics and internal process improvement efforts.
Great experience so far!
What do you like best about the product?
One of the most beneficial aspects of TigerGraph is its powerful graph database technology. We like its Fast query performance, Flexibility and Advanced analytics.
What do you dislike about the product?
Cost: It is costly, and not all companies can afford it. Additionally, it can be quite complex for beginners. Documentation and community support are not good.
What problems is the product solving and how is that benefiting you?
We use it for Real-time insights, enabling data connectivity, Developer productivity using GSQL query language, and API data over APIs. Overall business performance has increased
Tigergraph Analysis
What do you like best about the product?
Connecting data through Artificial Intelligence for analytics purpose
What do you dislike about the product?
Some times it becomes bit slow at times.
What problems is the product solving and how is that benefiting you?
analytics solution for a finance survey
Recommendations to others considering the product:
Must have software
Tigergraph review
What do you like best about the product?
Tigergraph was extremely useful for connecting data through machine learning. It help drive our data points to make better business decisions.
What do you dislike about the product?
At times it does freeze while using bur very rarely and it could quite possibly be our servers.
What problems is the product solving and how is that benefiting you?
Trying to integrate the use of data sets through financial services go further make business and trading decisions
Only Graphical Database powered by AI for best Data Presention and Analysis
What do you like best about the product?
We use Tigergraph to trace customer footprint in our website. Like how customers relate with our products, their purchases etc. And with Tigergraph it's really easy to understand user behaviour analysis data and take action accordingly.
What do you dislike about the product?
Nothing as of now and with Graph 3.0 it's really cool.
What problems is the product solving and how is that benefiting you?
We have find out the reason of decrease of customers in our website and with Tigergraph it's more easy to understand customer behaviour and using the data we are working on coustomer retention rate and it's growing rapidly. Thanks to Tigergraph Analytics.
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