
MongoDB
ArangoDB
Apache Cassandra
CouchBase
memcached
OrientDB
neo4j
Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

Coassemble
Trainn.co
Build courses by API, drop them into your product with one iframe, and get told who finished. No portal, no learner accounts, priced per course view.
Which is more popular?
Based on our record, Redis seems to be more popular. It has been mentioned 239 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | redis.io | underlayerhq.com |
| Pricing | ||
| Company | — | Startup from the United Arab Emirates · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache and message broker. It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes with radius queries and streams. Redis...
Underlayer is headless, API-first training for SaaS products. Instead of sending your users to a separate LMS portal, you generate a course, embed it where they already work, and get every completion sent back to your own systems. How it works Create a course. Generate one from a doc or a prompt...
What each product offers, as listed by its team.


Possible disadvantages
No features have been listed yet.
Walkthroughs and reviews on video.
What is Redis? | Why and When to use Redis? | Tech Primers
More videos
Underlayer demo
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Redis and Underlayer.
Underlayer's answer:
it's pre-launching
Underlayer's answer:
Underlayer is training with no portal. You build a course by API, by MCP, or in the visual builder, and add it to your product with one iframe. Then signed webhooks tell your systems who finished. Learners never create an account or leave your app, and the player uses your theme, so it looks like part of your product. We charge per course view, not per seat, and every price and overage rate is published.
Underlayer's answer:
Most course tools, like Coassemble, Trainn and LearningStudioAI, assume training happens on their own site: learners sign up, log in and get enrolled, and you pay per seat. Underlayer takes the opposite approach:
No learner accounts. You pass in your own user IDs and we track progress against them. Built for developers. A full REST API covers every resource, and an MCP server lets AI agents create and edit courses. Results in your own tools. Signed webhooks send completions to your CRM, your product or your data warehouse. SCORM 1.2 and 2004 export for customers who still need to load courses into an LMS. Public pricing. Plans start at $149/month for 25,000 course views, with unlimited learners and no sales call required.
Underlayer's answer:
SaaS product, customer success and engineering teams who want onboarding, product education or compliance training inside their own app. It also suits platforms that train other people's users, like partner networks, marketplaces and field-ops tools, where a separate LMS login gets in the way.
Underlayer's answer:
Every company putting training in front of its users hit the same wall: the LMS wanted to own the learner. That meant a separate portal, a second login and a per-seat bill for people who never opened a course. We built Underlayer as the layer underneath instead. You keep the product and the user relationship. We handle building the course, playing it and tracking progress, and we stay out of the way.
Underlayer's answer:
Next.js 16 (App Router) with React 19 and TypeScript, Tailwind CSS v4, and Supabase (Postgres with row-level security, Auth and Storage). Claude from Anthropic generates courses with AI. Stripe handles billing and Resend sends email. There is also a remote MCP server with OAuth 2.1 for AI-agent access.
Share your experience with using Redis and Underlayer. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Redis is an exceptionally fast in-memory data store that is known for its speed and versatility. It supports a broad range of use cases, including caching, real-time analytics, and pub/sub messaging, which makes it a...
Redis is an open-source, in-memory data store used as a database, cache, and message broker for high-performance applications.
Redis offers a RESTful API for accessing data stored within its in-memory technology data structures. This API provides a simple and efficient way to interact with Redis, enabling developers to leverage its...
We have no reviews of Underlayer yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


That's Redis. It's an in-memory data store, it hands us atomic counter primitives like INCR, and it can expire keys automatically so windows reset on their own. - Source: dev.to / about 2 months ago
Event loops are a paradigm for processing events different than your typical single-threaded or multi-threaded application. Your request gets broken down into async "events" that are executed in a loop to improve performance and minimize... - Source: dev.to / about 2 months ago
Why a cache server? Well, to be, a cache system is the smallest piece of software one can found everywhere. There is a reason why redis, memcached or many other projects like that are used by everybody: developers need a way to store... - Source: dev.to / 5 months ago
Tracking Underlayer since Sep 2026.
When comparing Redis and Underlayer, you can also consider the following products.

MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
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Coassemble is an all-in-one, online training tool that connects people with the information they need – anytime, anyplace.
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A distributed open-source database with a flexible data model for documents, graphs, and key-values.
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Trainn is a Customer Education platform for SaaS companies of all sizes to onboard and train customers, at scale, using product training & how-to videos, feature walkthroughs, and a dedicated customer training Academy.
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The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
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