Memgraph
neo4j
TigerGraph DB
FalkorDB
Azure Cosmos DB
Redis
Serverless Headless CMS by Webiny
TerminusDB
KeystoneJS
Strapi
Directus
Ghost
WordPress
Drupal
Payload CMS
Amplication
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.
Memgraph KeystoneJSThe product is very robust and easy to use. I highly recommend it to anyone who needs to analyze streaming data in real-time.
KeystoneJS might be a bit more popular than Memgraph. We know about 33 links to it since March 2021 and only 24 links to Memgraph. 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.
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
Yes, itโs built on the shoulders of giants, Next.js[0] and lesser-known Keystone.js[1]. Next is a full stack framework and Keystone is a CMS built on top of Prisma and GraphQL. Keystone was created by this Australian company called Thinkmill. They have used it to help businesses build custom backend systems for more than a decade. But it needed to be deployed separately from Next and they were using emotion css... - Source: Hacker News / about 2 months ago
Also, there are lots of exciting web frameworks that use Prisma as their default ORM layer (like RedwoodJS which is built by the founder of GitHub, Amplication which recently raised $6.6M in seed funding, Wasp (YC W21) or KeystoneJS) which should give you some more validation that Prisma is being used in a lot production applications :). Source: about 3 years ago
Https://keystonejs.com/ is a nice smaller alternative. Source: over 3 years ago
Keystone.js is a content management system and framework for creating server-side applications that interact with a database. It is based on the Express platform for Node.js and uses MongoDB for data storage. It is an alternative to CMS for web developers who want to create a data-driven website, but do not want to move to the PHP platform or too large systems such as WordPress. - Source: dev.to / over 3 years ago
I have a working graphql server written in Keystone CMS and hosted on Heroku. Source: almost 4 years ago
neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.
Strapi - Manage any content. Anywhere. The leading open-source headless CMS. 100% JavaScript / TypeScript and fully customizable.
TigerGraph DB - Application and Data, Data Stores, and Graph Database as a Service
Directus - Free and Open-Source Headless CMS
FalkorDB - Build Fast and Accurate GenAI Apps with GraphRAG at Scale
Ghost - Ghost is a fully open source, adaptable platform for building and running a modern online publication. We power blogs, magazines and journalists from Zappos to Sky News.
