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Memgraph is a high-performance, in-memory graph database that powers real-time AI context and graph analytics at scale.
Vector search finds what's similar. Graph reasoning finds what's connected โ following relationships, dependencies, and hierarchies that similarity alone can't capture. Modern AI systems need both, and Memgraph is the graph layer - surfacing precise structural context with full audit trails in sub-millisecond time.
It serves as the graph engine for GraphRAG pipelines, AI memory systems, and agentic workflows โ a single high-performance layer for any system that needs structured, connected context. The same in-memory architecture drives real-time graph analytics for fraud detection, network analysis, infrastructure monitoring, and other operational workloads where milliseconds matter.
NASA uses Memgraph to connect people, skills, and projects across the agency into a queryable knowledge graph that powers real-time expert discovery and workforce planning. Cedars-Sinai uses it to link genes, drugs, and clinical pathways in an Alzheimer's knowledge graph spanning over 230,000 entities that drives drug repurposing research and multi-hop biomedical reasoning. Organizations across cybersecurity, finance, retail, and other knowledge-intensive domains rely on Memgraph for the same reason: sub-millisecond graph traversals for the structured context and real-time insight that modern systems demand.
Digger MemgraphThe product is very robust and easy to use. I highly recommend it to anyone who needs to analyze streaming data in real-time.
Based on our record, Memgraph should be more popular than Digger. It has been mentiond 24 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Hey HN - I am working on a terraform automation tool [1] and have been observing that a lot of our users are now using coding agents in their workflows, even for infra tasks. Obviously, this means a lot of terraform is being generated by coding agents, and while this is great for greenfield setups, most teams already have conventions in place. My colleague was speaking to a friend earlier today, who mentioned that... - Source: Hacker News / 9 months ago
None of these are a replacement of Terraform Cloud (recently rebranded to HCP Terraform). For example, when you create a PR, it could affect multiple workspaces. The new experimental version of TFC/TFE (I refuse to call it HCP!) implements Stacks, which is something like a workflow, and links one workspace output to other workspace inputs. None of the open-source solutions, including the paid Digger [0], support... - Source: Hacker News / over 2 years ago
I'm part of the founding team at Digger, an Open Source Terraform Enterprise alternative. For the past few days, I have been wanting to talk about why the usual metrics in Commercial Open Source just don't cut it anymore. Source: about 3 years ago
Depending on the organisation, it is not always a good idea to make assumptions on what another team will be doing to use your module. Don't get me wrong, there are attempts at making cross-platform workflows like digger.dev, or RedHat who have recently released an ansible playbook that runs terraform (so in theory you'd only need ansible then) but at the very minimum, be aware if you tightly integrate your... Source: over 3 years ago
We are building an open source terraform cloud alternative (https://digger.dev/) and are looking to start a bounty program. Source: over 3 years ago
Auto-remediating into a worse state. The classic failure is auto-scaling a service to handle elevated error rates that are themselves caused by a downstream dependency. The service scales, hammers the dependency harder, and the dependency collapses. Fix: never auto-remediate without dependency-graph awareness. Aurora uses Memgraph for this; HolmesGPT uses its toolset structure; pure-L1 stacks should require manual... - Source: dev.to / 4 months ago
Suggestion: check out Memgraph for graph db storage - https://memgraph.com/. I work at Memgraph as DX Engineer so feel free to ping me in case you have questions about it: https://memgraph.com/office-hours Your solution looks interesting and I would love to hear more about it. I haven't seen that many PageRank-based graph exploration tools. - Source: Hacker News / almost 2 years ago
MemgraphโโโReal-time graph database for streaming data. - Source: dev.to / about 2 years ago
Memgraph | Staff C++ Database Engineer | REMOTE (Central/Western Europe, LatAm, or North America) https://memgraph.com/ Memgraph is a Seed stage, open source graph database vendor. Graph DBs are a great solution for GenAI, logistics, cybersecurity and fintech so we are looking to grow aggressively this year. We're looking for a staff-level engineer to set technical direction, mentor junior team members, and solve... - Source: Hacker News / over 2 years ago
Relational databases have a much longer history of development, and much more engineering time has went into designing RDBMS. It is not a surprise that they are mature on more levels. By looking at the age of a product, you can get a sense of how mature RDBMS systems are compared to most GraphDB projects. Horizontal scaling is hard in GraphDBs due to the nature of how the graph is structured and how you interact... - Source: Hacker News / over 2 years ago
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