
Memories.ai
LanceDB
Amazon Rekognition
The perception, memory, and action layer for AI agents

Refine
Mantine
Chakra UI
Retool
Ant Design
Palistor
vscode.dev
A frontend Framework for building B2B applications running in the browser on top of REST/GraphQL APIs, using ES6, React and Material Design

Which is more popular?
Based on our record, React Admin seems to be more popular. It has been mentioned 26 times since March 2021.
Website, pricing, platforms and company facts side by side.
|
|
|
|
|---|---|---|
| Website | videodb.io | marmelab.com |
| Pricing | ||
| Platforms | — | |
| Company | Startup from the United States · 20 - 49 employees · 2024 | 2017 |
| Listed in |
In their own words, as submitted to SaaSHub.


VideoDB: Give AI agents eyes and ears VideoDB is a modern backend for AI agents, giving them the ability to see, understand, and act on video and audio in real time. Its most important characteristic is that it unifies storage, indexing, streaming, editing, memory, retrieval, and delivery into a...
No description of React Admin 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.


Overall verdict
Why this product is good
Recommended for
No analysis of React Admin yet.
Walkthroughs and reviews on video.
VideoDB: Revolutionizing AI-Powered Video Interaction
10 Best React Admin Templates in 2022 | ReactJS Admin Templates
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing VideoDB and React Admin.
VideoDB's answer
VideoDB is designed for developers and teams who need real-world perception in their systems:
AI engineers building agent workflows.
Founders building agent-native products.
ML teams working with video, audio, and multimodal data.
Infrastructure engineers scaling real-time media systems.
VideoDB's answer
VideoDB was founded by Ashutosh Trivedi on a simple belief: Files, compression formats, and players are optimized for playback. But agents don’t watch video — they compute on it. VideoDB introduces a new media layer for AI — turning video into real-time, queryable context that agents can reason over and act on. This unlocks a shift that creates a perception layer for the agentic world:
from files → streams
from media → context
from batch processing → real time
from insights → actions
VideoDB's answer
VideoDB is built as a streaming-first, agent-native system:
Streaming architecture for real-time context (~seconds latency).
Multimodal AI orchestration (LLMs + vision models).
Indexes-as-code abstraction for programmable understanding.
Search with playable outputs, not just metadata.
Event-driven system for real-time triggers and automation.
VideoDB's answer
Most systems treat video as storage. VideoDB treats video as live, queryable context.
Key differentiators:
Real-time perception layer for agents.
Indexes-as-code instead of fixed pipelines.
Search returns playable evidence.
Unified system across files, streams, and desktop.
Built for agent loops, not dashboards.
Real-time programmable editing layer to extract and edit clips.
VideoDB's answer
Developers use VideoDB to move beyond fragmented tooling:
No more stitching together FFmpeg, transcription, and vector DBs.
One API for ingest, understanding, search, and action.
Instant search over video without pre-processing pipelines.
Native fit for agent frameworks and real-time systems.
It replaces an entire stack with a single, programmable media layer.
VideoDB's answer
VideoDB is used by teams building at the edge of AI across four major sectors:
AI & Agent Builders: Developing screen-aware agents, coding assistants, and autonomous workflows.
Media & Content Platforms: Powering archive search across thousands of hours of video, AI-assisted editing, and content generation.
Security & Monitoring Systems: Implementing real-time camera intelligence, automated alerts, and compliance tracking.
Data & Model Companies: Managing large-scale video dataset creation and training pipelines for vision and multimodal models.
Share your experience with using VideoDB and React Admin. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Tracking VideoDB since Apr 2026.
Resource: React Admin Documentation. - Source: dev.to / over 1 year ago
I've been working with react-admin on various projects, some of which required basic CMS features in addition to the core application. We've used headless CMS like Strapi, Directus, or Prismic for these features. However, react-admin is... - Source: dev.to / almost 2 years ago
I was learning React JS front end and in this journey of self learning, I have achieved many milestone like utilizing react-admin framework. I also implemented two-factor authentication using Authenticator tools with react-admin... - Source: dev.to / almost 2 years ago
When comparing VideoDB and React Admin, you can also consider the following products.

ChatGPT for your video library, with unlimited video context
Compare Memories.ai to VideoDB or React Admin:

A React Framework for building internal tools, admin panels, dashboards & B2B apps with unmatched flexibilty.
Compare Refine to VideoDB or React Admin:

LanceDB is an open-source database for vector-search built with persistent storage, which greatly simplifies retrieval, filtering and management of embeddings.
Compare LanceDB to VideoDB or React Admin:

React library, 60+ hooks and components with dark theme support and focus on accessibility
Compare Mantine to VideoDB or React Admin:

Add Amazon's advanced image analysis to your applications.
Compare Amazon Rekognition to VideoDB or React Admin:

Simple, modular and accessible UI components for your React applications.
Compare Chakra UI to VideoDB or React Admin: