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Azure Cosmos DB
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TerminusDB
Memgraph is the graph engine that powers AI context.

Which is more popular?
Based on our record, Memgraph seems to be more popular. It has been mentioned 24 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | memgraph.com | tryprofound.com |
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| Platforms | — | |
| Company | 2017 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


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 — following relationships, dependencies, and hierarchies that similarity alone can't capture. Modern...
No description of Profound yet.
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


No analysis of Memgraph yet.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
What is Memgraph? | Office Hours #1
More videos
Profound Tutorial & Review For Beginners 2026
More videos
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Memgraph and Profound. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


The product is very robust and easy to use. I highly recommend it to anyone who needs to analyze streaming data in real-time.
Profound offers a free 7-day trial with 50 daily prompts on ChatGPT, Gemini and AI Overviews. After that it's Enterprise only, priced on a demo call, with up to 9 engines.
Say they read the public interface: Miraqo, SE Ranking, Otterly.AI, Peec AI (logged out; its add-on models run through APIs) and Profound. Semrush says its answers are "captured from real requests and not via any APIs...
Profound gives a useful way to understand how brands appear across AI search and generative platforms. The platform helps surface visibility patterns, competitor presence, and broader shifts in how AI systems...
Recommendations tracked on public social media and blogs since March 2021.


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... - Source: dev.to / 5 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... - Source: Hacker News / almost 2 years ago
Memgraph — Real-time graph database for streaming data. - Source: dev.to / over 2 years ago
Tracking Profound since Feb 2026.
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