
Redis
MongoDB
OrientDB
neo4j
Apache Cassandra
CouchBase
Azure Cosmos DB
A distributed open-source database with a flexible data model for documents, graphs, and key-values.

Substack
Formo.so
Advanced analytics for Substack writers. Runs 100% locally, no cloud, no subscription. Discover your superfans, churn risk, and cohort retention.
Which is more popular?
Based on our record, ArangoDB should be more popular than StackStats.app. It has been mentioned 6 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | arangodb.com | stackstats.app |
| Pricing | ||
| Company | — | Startup from the United Arab Emirates · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of ArangoDB yet.
StackStats is a local desktop app for serious Substack writers. Import your CSV exports and get analytics Substack doesn't show you: bot-filtered open rates, cohort retention, dead subscriber detection, superfan ID, content-to-growth correlation, and an optional AI layer (supports Ollama,...
What each product offers, as listed by its team.


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


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
ArangoDB and Foxx Framework, deeper dive. WHILT#17
No StackStats.app videos yet. You could help us improve this page by suggesting one.
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing ArangoDB and StackStats.app.
StackStats.app's answer:
I built StackStats because Substack's native analytics weren't cutting it. I wanted cohort data, real open rates (not bot-inflated), and a way to identify which posts were actually driving subscriber growth — but every tool I found was either cloud-based or required migrating off Substack entirely. So I built a local app that works with Substack's own CSV exports. No migration, no cloud, no subscription.
StackStats.app's answer:
StackStats runs 100% locally on your machine — your subscriber data never touches a server. It also goes far beyond what Substack shows natively: bot-filtered open rates, cohort retention, superfan identification, dead subscriber detection, and content-to-growth correlation. No subscription, no account, no cloud. Pay once, own it forever.
StackStats.app's answer:
Most newsletter analytics tools are cloud-based SaaS with monthly subscriptions. StackStats is a one-time purchase that runs entirely on your device. For Substack writers who care about privacy — especially those with paid subscribers — that's a meaningful difference. You also get analytics features that don't exist anywhere else, like bot-filtered open rates and cohort retention, without having to migrate away from Substack.
StackStats.app's answer:
Serious Substack writers who are frustrated by Substack's shallow native analytics and want real data to drive growth — without moving their subscriber data to the cloud.
StackStats.app's answer:
Electron (macOS + Windows), HTML/CSS/JavaScript, Chart.js, PapaParse. Optional AI layer supports Ollama, Claude, GPT-4, Gemini, Groq, and OpenRouter. Licensing via Cloudflare Workers + D1. Payments via Gumroad.
Share your experience with using ArangoDB and StackStats.app. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


ArangoDB is a native multi-model DBMS system. It supports three data models with one database core and a unified query language AQL. Its query language is declarative which helps you to compare different data access...
ArangoDB is a distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript...
Scalability needs and ArangoDB ArangoDB is cluster ready for graphs, documents and key/values. ArangoDB is suitable for e.g. recommendation engines, personalization, Knowledge Graphs or other graph-related use cases....
We have no reviews of StackStats.app yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


If you like the document db idea there are a lot of choices, especially https://arangodb.com/ which I think gets little attention because people who use it see it as a secret weapon. Too bad about the license though. Also... - Source: Hacker News / about 2 years ago
ArangoDB is a multi-model database that supports document, key-value, and graph data models with a unified query language. - Source: dev.to / over 2 years ago
In modern databases, efficient data serialization and deserialization are paramount to achieving high performance. ArangoDB, a multi-model database, addresses this need with its innovative binary data format, VelocyPack. This article... - Source: dev.to / over 2 years ago
I'm working on 3 products now: 1. FormBeep(https://formbeep.com) at $38 MRR now - A form to Whatsapp tool. Stack is mainly CF workers with Clerk Auth. 2. SlashLink(https://slashlink.app) $0 - A simple pay as you go amazon link localizer.... - Source: Hacker News / 5 days ago
When comparing ArangoDB and StackStats.app, you can also consider the following products.

Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
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With Substack, anyone can start a publication that combines a personal website, blog, and email newsletter or podcast. It's quick and simple.
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MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
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OrientDB - The World's First Distributed Multi-Model NoSQL Database with a Graph Database Engine.
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Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.
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