With unified AQL, I write one single declarative block to filter JSON log payloads by timestamp and match specific error strings, making the process faster and simpler.
Senior Infrastructure Engineer at Publicis Sapient
Jul 28, 2026
ArangoGraph has positively impacted my organization by enabling discovery sessions that we can close within two weeks instead of keeping them open for a month, reducing delays by nearly 50 percent.
Member of Technical Staff II, Research & Development at a tech vendor with 10,001+ employees
Oct 31, 2026
ArangoGraph provides options to scale as data grows, which helps me plan for increasing data volumes and more complex graph queries, and from the backend perspective, users can explore these relationships smoothly without major changes to the application architecture.
ArangoGraph has positively impacted my organization by helping me establish supply chain visibility in a comparatively financially viable way, as other providers are more expensive compared to that.
Data Architect at a tech vendor with 10,001+ employees
Nov 1, 2026
AQL can be used for traversal both inbound and outbound, for multi-hop relationship analysis, finding the shortest path between graphs, and is widely used for anti-money laundering detection patterns and financial frauds.
Senior Developer at a tech vendor with 1,001-5,000 employees
Oct 31, 2026
For some queries that took one minute with traditional databases, I was able to complete them within four seconds in ArangoGraph when testing with certain cases.
I believe ArangoGraph could be improved with better graph-based analytics, and the data science module could be enhanced for graph analytics by including a detailed variety of graph algorithms such as PageRank, clustering, and path finding.
I give it an eight because I am really happy with how it works and how it performs, but I am missing the two points because the enterprise version is a bit too expensive for new startups.
