ActivePieces vs Uplizd: Open-Source Automation Showdown 2025
Open-source Zapier alternative vs AI-first platform. Compare self-hosting, pricing, and AI capabilities.
If you're looking at ActivePieces and Uplizd, you've probably realized: both are open-source, both support self-hosting, and both are cheaper than Zapier.
But here's the key difference: ActivePieces is an affordable Zapier alternative. Uplizd is an AI-first platform with enterprise features.
Let me show you exactly when to use each (and yes, you can use both together).

TL;DR: The One-Minute Answer
| Question | ActivePieces | Uplizd |
|---|---|---|
| Philosophy | Open-source Zapier alternative | AI-first workflow platform |
| Best For | Simple business automation | AI/LLM-powered workflows |
| Integrations | 414+ apps (growing) | 100+ LLM providers + AI tools |
| Open Source | ✅ MIT license (fully open) | ⚠️ Business tier only |
| AI Capabilities | ⚠️ Basic (manual API calls) | ✅ Native, cost-optimized |
| Self-Hosting | ✅ Easy (Docker Compose) | ✅ Advanced (Kubernetes) |
| Starting Price | $0 (self-host) or $1/1K tasks | $19/month (cloud) or $599/mo (self-host) |
| Real TCO (with AI) | $275/month (cloud) or $470/month (self-host) | $24/month |
Bottom Line: ActivePieces = affordable open-source automation for simple workflows. Uplizd = AI-first platform with 99.9% LLM cost savings. Many teams use both together.
The Open-Source Angle
Both platforms embrace open source, but with different approaches:

ActivePieces: Open-Source Zapier Alternative
Mission: Make workflow automation affordable and open
- •License: MIT (completely open-source)
- •Philosophy: Community-driven, simple self-hosting
- •Setup: Docker Compose (5-minute setup)
- •Cost: $0 self-host or $1 per 1,000 tasks (cloud)
- •Focus: Business process automation (CRM, email, data sync)
Ideal for: Small teams, tight budgets, simple automations, no AI needs
Uplizd: AI-First Enterprise Platform
Mission: Make AI workflows accessible with massive cost savings
- •Foundation: Python-based with LangChain support
- •Philosophy: AI-first, enterprise-grade, cost-optimized
- •Setup: Cloud (5-min) or Kubernetes self-host (Business tier)
- •Cost: $19-599/month (all-inclusive: hosting + LLM caching + vector DB)
- •Focus: AI workflows (RAG chatbots, multi-agent, document analysis)
Ideal for: SaaS builders, AI engineers, teams needing LLM cost optimization
The AI Gap: What ActivePieces Can't Do
Let's be direct: ActivePieces is excellent for business automation, but it wasn't built for AI workflows.

| AI Feature | ActivePieces | Uplizd | Impact |
|---|---|---|---|
| Vector Databases | ❌ Not supported | ✅ Native (Qdrant, Pinecone, Chroma) | Semantic search, knowledge bases |
| RAG Pipelines | ❌ Not supported | ✅ Built-in templates | AI chatbots with context |
| LLM Cost Optimization | ❌ None | ✅ 99.9% savings via caching | Massive cost reduction |
| Multi-Agent Systems | ❌ Not supported | ✅ Native orchestration | Complex AI workflows |
| AI Copilot | ❌ None | ✅ Generates workflows from text | 10x faster development |
| Prompt Chaining | ⚠️ Manual | ✅ Visual workflow builder | Easy AI workflow design |
Reality check: You CAN call OpenAI API from ActivePieces (via HTTP action). But you're paying $200-500/month in LLM costs with no caching, no RAG, and no vector database support.
Real-World Example: AI Customer Support Bot
Let's build the same AI support system with both platforms.
Scenario: Process 5,000 customer questions/month with knowledge base search
With ActivePieces Cloud (Affordable But Limited)

| Step | What You Do | Monthly Cost |
|---|---|---|
| 1. Call OpenAI API | HTTP action, format JSON manually | - |
| 2. Pay LLM costs | Every query = 100% cost (no caching) | $200 |
| 3. Add vector DB | External Pinecone subscription | $70 |
| 4. Build RAG manually | Custom code for embedding, search, retrieval | - |
| 5. ActivePieces tasks | 5,000 tasks | $5 |
Total monthly cost:
ActivePieces Cloud: $5/month (5,000 tasks - very affordable!)
OpenAI API: $200/month (no caching)
Pinecone Vector DB: $70/month (external service)
──────────────────────────────────
TOTAL: $275/month
If self-hosting:
Infrastructure: $200/month (you manage servers)
OpenAI API: $200/month (no caching)
Pinecone: $70/month
──────────────────────────────────
TOTAL: $470/month
Pros:
- •✅ Very affordable task pricing ($1/1K tasks)
- •✅ Easy to connect to other apps (414+ integrations)
- •✅ Open-source (can self-host for free)
Cons:
- •❌ Expensive LLM costs (no caching)
- •❌ No RAG support (build yourself)
- •❌ No vector DB integration
- •❌ 10-20 hours dev time for AI setup
With Uplizd (Fast and Cost-Optimized)

| Step | What You Do | Monthly Cost |
|---|---|---|
| 1. Ask AI Copilot | "Create AI support bot with RAG" | - |
| 2. Workflow generated | Complete workflow appears (2 minutes) | - |
| 3. Upload knowledge base | Drag-and-drop 10,000 documents | - |
| 4. LLM caching kicks in | 99% of queries hit cache automatically | $5 |
| 5. Deploy | One-click | - |
Total monthly cost:
Uplizd Starter: $19/month (includes everything)
LLM API (cached): $5/month (99% cache hit rate)
Vector DB: $0 (included)
──────────────────────────────────
TOTAL: $24/month
Pros:
- •✅ 91% cost savings vs ActivePieces ($24 vs $275)
- •✅ 95% savings vs ActivePieces self-host ($24 vs $470)
- •✅ Built-in RAG, vector DB, multi-agent
- •✅ 2-minute setup (AI Copilot generates workflow)
- •✅ LLM caching = 99% cost reduction
Cons:
- •❌ More expensive than ActivePieces for non-AI workflows
- •❌ Fewer business app integrations (use webhooks to connect)
Pricing: The Complete Picture

ActivePieces Pricing
| Option | Cost | What You Get |
|---|---|---|
| Self-Host (Free) | $0 platform fee | Unlimited tasks (you host on your servers) |
| Cloud Free | $0 | 1,000 tasks/month |
| Cloud Pay-As-You-Go | $1 per 1,000 tasks | Scale as needed (very affordable!) |
Hidden costs for AI:
- •OpenAI/Anthropic API: $50-500/month (no caching)
- •Self-hosting infrastructure: $100-300/month
- •External vector DB: $20-100/month (if doing RAG)
Real TCO (with AI):
- •Cloud: $275/month (5K tasks with AI)
- •Self-host: $470/month (with infrastructure + AI)
Uplizd Pricing
| Tier | Price | LLM Budget | What's Included |
|---|---|---|---|
| Free | $0 | 100K tokens/mo | Shared workspace, all AI templates |
| Starter | $19 | 1M tokens/mo | Isolated instance, SSO, 99% caching |
| Pro | $49 | 5M tokens/mo | Priority support, advanced analytics |
| Team | $99 | 20M tokens/mo | Collaboration, shared workflows |
| Business | $599 | 100M tokens/mo | Self-host (Kubernetes), SLA, dedicated support |
Everything included:
- •Infrastructure (Kubernetes, PostgreSQL, Redis)
- •LLM caching (99.9% cost savings)
- •Vector databases (Qdrant, Pinecone, Chroma)
- •Multi-tenancy with per-tenant isolation
- •Enterprise features (SSO, quotas, audit logs)
Real TCO: $19-599/month (no hidden costs)
When to Use Which Platform
Choose ActivePieces if you need:
| Use Case | Why ActivePieces Wins |
|---|---|
| Open-source Zapier alternative | MIT license, fully open, community-driven |
| Simple business automation | CRM sync, email workflows, data pipelines |
| $1/1K task pricing | Very affordable for high-volume non-AI tasks |
| Easy Docker setup | 5-minute Docker Compose deployment |
| No AI requirements | Focus is app-to-app automation |
| Tight budget | Free self-host option (you pay for servers only) |
Ideal customer: Small business, nonprofit, solo developer with simple automation needs
Real example: A small marketing agency automating client reporting: Google Sheets → Email (SendGrid) → Slack notification. 10,000 tasks/month = $10.
Choose Uplizd if you need:
| Use Case | Why Uplizd Wins |
|---|---|
| AI chatbots with RAG | Built-in knowledge base search, context, memory |
| LLM cost optimization | 99.9% savings = massive reduction in OpEx |
| Multi-tenant SaaS | Native per-customer isolation (databases, auth, quotas) |
| Vector databases | Semantic search out-of-box |
| Multi-agent systems | Orchestrate multiple AI agents |
| AI Copilot | Generate workflows from natural language (10x faster) |
| Production AI apps | Enterprise-grade reliability, SLA, support |
Ideal customer: SaaS builders, AI engineers, product teams shipping AI features at scale
Real example: A healthcare company building HIPAA-compliant patient intake bot with RAG (10K medical documents), sentiment analysis, and multi-tenant isolation. Cost: $49/month (vs $500+ with alternatives).
Self-Hosting: Docker vs Kubernetes
ActivePieces: Simple Docker Compose

Setup:
# Clone repo
git clone https://github.com/activepieces/activepieces.git
cd activepieces
# Start with Docker Compose
docker-compose up -d
# Done! Running on localhost:3000
Requirements:
- •2GB RAM minimum
- •10GB disk space
- •Docker + Docker Compose
Pros:
- •✅ Very easy setup (beginner-friendly)
- •✅ Low resource requirements
- •✅ Community support (Discord, GitHub)
- •✅ Free (MIT license)
Cons:
- •❌ You manage everything (updates, backups, scaling)
- •❌ No multi-tenancy out-of-box
- •❌ No LLM optimization
Infrastructure cost: $100-300/month (depending on scale)
Uplizd: Enterprise Kubernetes
Setup:
- •Kubernetes cluster (EKS, GKE, or AKS)
- •Complete platform stack (Uplizd core + Auth + LiteLLM + PostgreSQL + Redis)
- •Available on Business tier ($599/month with support + SLA)
Requirements:
- •Kubernetes expertise
- •8GB+ RAM per node
- •100GB+ disk
- •Load balancer, ingress
Pros:
- •✅ Full enterprise features (multi-tenancy, SSO, quotas)
- •✅ LLM cost optimization (99.9% savings)
- •✅ We provide Kubernetes configs
- •✅ Dedicated support + SLA
Cons:
- •❌ More complex setup (Kubernetes knowledge required)
- •❌ Requires Business tier ($599/month)
- •❌ Higher infrastructure needs
Infrastructure cost: $300-800/month (depending on scale)
When worth it: If you need multi-tenancy, HIPAA/SOC 2 compliance, or handle sensitive data that can't go to cloud. Otherwise, use Uplizd cloud (cheaper and easier).
Can They Work Together?
Absolutely! Use both for different needs:

Recommended Hybrid Approach
Use ActivePieces for:
- •CRM, email, spreadsheet automation
- •Business process workflows (non-AI)
- •Affordable task-based automation ($1/1K tasks)
Use Uplizd for:
- •AI-powered features (RAG chatbots, document analysis)
- •LLM cost optimization (99.9% savings)
- •Multi-agent workflows
How they connect: Webhooks (both platforms support)
Example workflow:
- •Customer submits form → ActivePieces detects
- •ActivePieces → Creates CRM record (HubSpot)
- •ActivePieces triggers Uplizd webhook with customer question
- •Uplizd AI searches knowledge base (RAG), generates answer
- •Uplizd analyzes sentiment, flags if angry
- •Uplizd returns result to ActivePieces
- •ActivePieces → Sends email (Gmail) + logs to spreadsheet
- •If escalated → ActivePieces → Creates support ticket (Zendesk)
Result: Affordable business automation (ActivePieces) + powerful AI (Uplizd) = Best of both worlds
Community & Support
ActivePieces
| Aspect | Details |
|---|---|
| Community | ~5,000 users (growing fast) |
| GitHub Stars | ~8,000+ |
| Documentation | Good, actively improving |
| Support | Community-driven (Discord, GitHub issues) |
| Paid Support | Not yet available |
| Enterprise Features | In development |
Uplizd
| Aspect | Details |
|---|---|
| Foundation | Python-based AI workflow platform |
| Documentation | Comprehensive documentation with examples |
| Support | Email (all tiers), Priority (Pro+), Dedicated (Business) |
| SLA | Business tier (99.9% uptime guarantee) |
| Enterprise Features | Multi-tenancy, SSO, audit logs (all tiers) |
Frequently Asked Questions
Q: Is ActivePieces good for AI workflows? A: For simple one-off AI API calls, yes. For RAG chatbots, multi-agent systems, or production AI apps, no. It lacks cost optimization, vector databases, and RAG support.
Q: Can I use both together? A: Yes! This is actually the recommended approach for many teams. Use ActivePieces for affordable business automation ($1/1K tasks), Uplizd for AI workflows (99.9% LLM savings). Connect via webhooks.
Q: Which is easier to self-host? A: ActivePieces (Docker Compose, 5-min setup). Uplizd requires Kubernetes (more complex, but includes enterprise features like multi-tenancy).
Q: Which is cheaper? A: For non-AI workflows: ActivePieces ($1/1K tasks is unbeatable). For AI workflows: Uplizd (91-95% cheaper due to LLM caching).
Q: Can I migrate from ActivePieces to Uplizd? A: If you have AI workflows in ActivePieces with high LLM costs, migrate those to Uplizd (5-15 min per workflow with AI Copilot). Keep ActivePieces for business automation. Connect via webhooks.
Key Takeaways
ActivePieces is Perfect For:
- •✅ Open-source alternative to Zapier (MIT license)
- •✅ Very affordable ($1/1K tasks, or free self-host)
- •✅ Easy Docker setup (5-minute deployment)
- •✅ Simple business automation (CRM, email, data sync)
- •✅ Growing integrations (414+ apps)
Uplizd is Perfect For:
- •✅ AI workflows (RAG, multi-agent, document analysis)
- •✅ 99.9% LLM cost savings (caching game-changer)
- •✅ Multi-tenant SaaS (native per-customer isolation)
- •✅ Vector databases (Qdrant, Pinecone, Chroma included)
- •✅ AI Copilot (generates workflows from natural language)
- •✅ Enterprise features (SSO, quotas, audit logs, SLA)
The Hybrid Approach (Recommended):
- •✅ Use ActivePieces for affordable business automation
- •✅ Use Uplizd for AI intelligence layer
- •✅ Connect via webhooks for best of both worlds
- •✅ Save 90%+ on AI costs vs ActivePieces-only approach
Ready to Try Uplizd?
Build AI workflows in 5 minutes with 99.9% LLM cost savings:
- •✅ 100K tokens/month free (try before you buy)
- •✅ All 40+ AI templates (RAG, agents, chatbots)
- •✅ AI Copilot generates workflows (just describe what you need)
- •✅ Works with ActivePieces (via webhooks)
ActivePieces for affordable automation. Uplizd for AI workflows. Use both for best results.
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