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.
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