Memgraph
neo4j
TigerGraph DB
FalkorDB
Azure Cosmos DB
Redis
Serverless Headless CMS by Webiny
TerminusDB
Webiny
Ionic Creator V2
Payload CMS
Strapi
Serverless
Kodular
Webflow
Contentful
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.
Open-source serverless enterprise CMS platform. Includes a headless CMS, page builder, form builder, and file manager. Easy to customize and expand. Deploys to AWS.
Memgraph WebinyThe 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 Webiny. 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.
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
Even Strapi needs to be hosted somewhere, and that usually involves a recurring fee. I've had great success over the past 2 years building blogs using http://webiny.com, and because they get low traffic, I've only ever had 1 bill from AWS that was around 80 cents US. Source: about 4 years ago
Strapi is awesome, I've been a fan of the project since its early days. However, I've been closely watching Webiny too. It's easier to host because you don't have to worry about running Docker containers or installing MongoDB on your local machine. Instead you put it on your AWS account (can be done with a few clicks), define your content models once it's there and you then only pay for usage. http://webiny.com. Source: over 4 years ago
Yeah I hear you, SAAS CMS platforms can get prohibitively expensive really quickly after the initial free tier expires. I've found hosting Strapi (or similar) on Heroku has saved me the cost of keeping a server instance running, which usually would cost $5-10 per month. However, the most cost effective for me so far has been Webiny. It's serverless so you install it on AWS and typically don't pay as much (if... Source: over 4 years ago
Otherwise if you want a framework to build on, there's Redwood (which works particularly well on Netlify and Vercel) or Webiny (for AWS, Azure and others). - Source: dev.to / about 5 years ago
neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.
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TigerGraph DB - Application and Data, Data Stores, and Graph Database as a Service
Payload CMS - Headless CMS and Application Framework built with Node.js, React and MongoDB
FalkorDB - Build Fast and Accurate GenAI Apps with GraphRAG at Scale
Strapi - Manage any content. Anywhere. The leading open-source headless CMS. 100% JavaScript / TypeScript and fully customizable.
