LlamaIndex vs Upstash
Data framework for LLMs — RAG-first with LlamaCloud + LlamaParse
vs. Serverless Redis + Kafka + Vector + QStash — per-request pricing
Pricing tiers
LlamaIndex
OSS (MIT)
MIT-licensed core. Python + TypeScript. Free forever.
$0 base (usage-based)
LlamaCloud — Free
Free tier of LlamaCloud. 1,000 pages/day via LlamaParse. Basic indexing.
Free
LlamaCloud — Paid
Pay-per-page parsing + usage-based indexing. $0.003 per page (Fast mode).
$0 base (usage-based)
LlamaCloud Enterprise
Custom. SSO, SOC2, higher rate limits, private index hosting.
Custom
Upstash
Free
Redis: 256 MB + 500k cmds/mo. Vector: 10k queries/mo. QStash: 500 msgs/day.
Free
Pay-as-you-go
Redis: $0.2 per 100k cmds. Vector: $0.4/M queries. QStash: $1 per 100k.
$0 base (usage-based)
Fixed Plans
From $10/mo. 250MB-500GB Redis. $5/read region. 50GB bandwidth included.
$10/mo
Prod Pack
+$200/mo per DB. SLA + RBAC + encryption + SOC-2 + Prometheus + Datadog.
$200/mo
Enterprise
Custom. 100k+ cmd/sec, unlimited bandwidth, HIPAA.
Custom
Free-tier quotas head-to-head
Comparing oss on LlamaIndex vs free on Upstash.
| Metric | LlamaIndex | Upstash |
|---|---|---|
| No overlapping quota metrics for these tiers. | ||
Features
LlamaIndex · 16 features
- Agents — Agent patterns: ReAct, function-calling, multi-agent workflows.
- Document Readers — 200+ readers for PDF, web, Google Drive, SharePoint, Notion, S3, Slack.
- Evaluations — Built-in eval framework: faithfulness, context precision/recall.
- LlamaCloud — Managed indexing + retrieval platform. File connectors, auto-chunking, retrieval…
- LlamaExtract — Schema-based structured extraction from unstructured docs.
- LlamaHub — Community marketplace of readers, tools, prompts.
- LlamaParse — Best-in-class PDF + complex document parser. Tables, math, layout preserved.
- Multimodal — Image + text models, image retrieval.
- Node Parsers — Document chunkers: token, sentence, semantic, hierarchical.
- Observability (OpenLLMetry) — OTel-based tracing baked in.
- Property Graph — Graph-based RAG (knowledge graphs from unstructured data).
- Query Engines — Retrieval + response synthesis combos — router, sub-question, tree, etc.
- RAG — End-to-end RAG patterns: ingest → index → retrieve → synthesize.
- Tools — 50+ pre-built tool integrations.
- Vector Store Integrations — 50+ vector DB integrations.
- Workflows — Event-driven agent workflows (AgentWorkflow).
Upstash · 12 features
- Cron (via QStash) — Scheduled HTTP callbacks on any interval.
- Edge-Ready — Native for CF Workers, Vercel Edge, Deno, Bun.
- Global Database — Multi-region Redis reads.
- HTTP REST APIs — Every product has REST — works from edge runtimes.
- QStash — HTTP-based message queue + cron scheduler for webhooks.
- QStash Webhooks — Outgoing webhook delivery with retries + DLQ.
- Read Regions — Add read replicas in any region ($5/mo each).
- @upstash/ratelimit — Redis-backed rate limiter lib.
- Upstash Redis — Serverless Redis with HTTP REST + RESP TCP.
- Upstash Search — Full-text + semantic search engine.
- Upstash Vector — Serverless vector DB with REST API. HNSW indexing.
- Upstash Workflow — Durable workflow runtime built on QStash.
Developer interfaces
| Kind | LlamaIndex | Upstash |
|---|---|---|
| SDK | llama-index (Python), llamaindex (TS) | upstash-redis / vector (Python), @upstash/redis / vector / qstash |
| REST | LlamaCloud API, LlamaParse API | QStash REST API, Upstash Redis REST API, Upstash Vector REST |
| MCP | LlamaIndex MCP | — |
| OTHER | — | RESP (TCP) |
Staxly is an independent catalog of developer platforms. Outbound links to LlamaIndex and Upstash are plain references to their official websites. Pricing is verified against vendor pages at publication time — reconfirm before buying.
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