Cloud · head to head
Upstash vs Zeabur
The short version
- Each has a real cost: Upstash hTTP-based REST API only, no TCP connections means higher latency than self-hosted or connection-pooled Redis; Zeabur free plan limited to single server with 48-hour log retention
- They diverge on capability: Upstash covers Serverless Redis, Zeabur covers AI Agent.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Upstash and Zeabur actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Cloud).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Upstash
- Serverless Redis
- Serverless Kafka
- QStash
- Global Replication
- REST API
- Edge Functions Support
- Rate Limiting
- Caching
Only in Zeabur
- AI Agent
- Managed Servers
- Domain and DNS Management
- Email Service
- AI Hub
- Deploy Templates
- Git Integration
What people use each for
The jobs each tool is most often brought in to do.
Upstash
- Cachingnot Zeabur
- Session storagenot Zeabur
- Real-time messagingnot Zeabur
- Rate limitingnot Zeabur
- Serverless backendsnot Zeabur
Zeabur
- Deploying full-stack web applications without DevOps expertisenot Upstash
- Building AI agent infrastructure with integrated API accessnot Upstash
- Managing multi-region deployments with automated scalingnot Upstash
- Running containerized services with built-in domain and emailnot Upstash
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Upstash
- HTTP-based REST API only, no TCP connections means higher latency than self-hosted or connection-pooled Redis
- Rate limiting occurs when traffic exceeds configured budget cap or request limits
- Kafka service discontinued in March 2025, requiring migration to Upstash Workflow or alternatives
- Limited Redis feature support compared to self-hosted Redis or Redis Cloud
- High-request-volume workloads can accumulate significant costs due to per-request pricing model
Zeabur
- Free plan limited to single server with 48-hour log retention
- Small team size may limit support and feature velocity
- Building spec upgrades limited on lower tiers
- Enterprise support not clearly documented
Pricing, plan by plan
Upstash
Free- FreeFree
- 256 MB data
- 500K commands per month
- 10 GB bandwidth
- Pay-as-you-go$0.2/per 100K commands
- Per-request billing
- Storage at $0.25/GB
- Unlimited commands
- Fixed Plan$10/month
- 250 MB Redis
- Predictable pricing
- Global replication available at higher tiers
Zeabur
Free- FreeFree
- 1 manageable server
- 2C4G build specs
- 48-hour log retention
- Dev$5/month
- 3 manageable servers
- 7-day log retention
- 250 MB file uploads
- Pro$19/month
- 10 manageable servers
- 4C8G build specs
- 30-day log retention
- Team$79/month
- 3 included seats
- Unlimited manageable servers
- 90-day log retention
Which should you pick?
Choose Upstash if
- You need serverless redis.
- You want to start without paying.
- You work on REST API, Node.js, Python, Go, Rust, Vercel Edge, Cloudflare Workers, AWS Lambda.
- You also want serverless kafka.
Choose Zeabur if
- You need ai agent.
- You want to start without paying.
- You work on Web, CLI.
- You also want managed servers.
Questions people ask
- Is Upstash or Zeabur better?
- Neither clearly leads. Upstash starts at Free and Zeabur at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Upstash or Zeabur?
- Upstash starts at Free and Zeabur at Free.
- Does Upstash or Zeabur run on more platforms?
- Upstash runs on REST API, Node.js, Python, Go, Rust, Vercel Edge, Cloudflare Workers, AWS Lambda. Zeabur runs on Web, CLI.
- Can I use Upstash for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Upstash best used for?
- Upstash is most often used for caching, session storage, real-time messaging, rate limiting. Of those, caching and session storage are not what Zeabur is typically brought in for.
- What can Upstash do that Zeabur cannot?
- Upstash covers Serverless Redis, Serverless Kafka, QStash, Global Replication. Zeabur covers AI Agent, Managed Servers, Domain and DNS Management, Email Service.
Answered from the vendors’ own pages
Upstash: Does Upstash have a free tier?
Yes. The free tier provides 256 MB of data and 500,000 commands per month with 10 GB of bandwidth in a single region, no credit card required.
SourceZeabur: What is included in the free plan?
The free plan includes 1 manageable server, 2C4G build specifications, 48-hour log retention, 50 MB file upload limit, and community support.
SourceUpstash: How does Upstash work with edge platforms like Vercel and Cloudflare Workers?
Upstash uses a REST API instead of TCP connections, enabling it to work from Vercel Edge, Cloudflare Workers, and AWS Lambda without persistent connections or connection pooling.
SourceZeabur: How do additional seats work on the Team plan?
The Team plan includes 3 seats with additional seats available at $24 per seat per month.
SourceUpstash: What programming languages are supported?
Upstash provides native SDKs for Python, Node.js, Go, and Rust. Java, C#, and PHP developers can use the REST API or community libraries.
SourceZeabur: Is there a free trial period?
The Dev and Pro plans include 14 days free before billing begins.
SourceUpstash: Is Upstash Kafka still available?
No. Upstash Kafka was deprecated on September 11, 2024 and fully discontinued on March 11, 2025. Upstash Workflow is now recommended for durable serverless messaging and task queuing.
SourceUpstash: How is Upstash pricing structured?
Upstash uses per-request pricing at $0.20 per 100K commands for Redis, $0.25/GB for storage, and $0.40 per 100K requests for Vector database. Idle applications cost nothing.
SourceUpstash: Can Upstash be used with AWS Lambda?
Yes. Upstash works with AWS Lambda via its REST API, eliminating the need for connection pooling and making it ideal for stateless serverless functions.
SourceRelated pages
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