Machine Learning · head to head
LlamaIndex vs Traceloop

Traceloop
Logging
LLM reliability platform with open-source observability and evaluation
- From
- Free
- Rated
- -
The short version
- Each has a real cost: LlamaIndex the free LlamaCloud plan includes 10K credits and has no pay as you go option, so work stops when credits run out; Traceloop free tier limited to 50k spans per month and 24-hour retention, restricting production use
- They diverge on capability: LlamaIndex covers Data connectors, Traceloop covers Open-source SDK (OpenLLMetry).
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which LlamaIndex and Traceloop actually diverge.
| Attribute | LlamaIndex | Traceloop |
|---|---|---|
| Pricing model | usage-based | Freemium with pay-as-you-go enterprise option |
| Platforms | Linux, Mac, Windows | Cloud, On-premises, Air-gapped, Python, TypeScript, Go, Ruby |
| Category | Machine Learning | Logging |
| Founded | 2022 | Unknown |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
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 LlamaIndex
- Data connectors
- Indexing
- Query engine
- RAG pipelines
- Agents
- OpenAI
- Anthropic
- Pinecone
Only in Traceloop
- Open-source SDK (OpenLLMetry)
- Multi-provider support
- Observability platform integration
- Framework support
- Monitoring dashboard
- Evaluation system
- Deployment flexibility
What people use each for
The jobs each tool is most often brought in to do.
LlamaIndex
- Parsing PDFs and complex documents into structured text for RAGnot Traceloop
- Building retrieval augmented generation pipelines over private datanot Traceloop
- Indexing and querying enterprise documents from an LLM applicationnot Traceloop
Traceloop
- Monitoring LLM application performance in productionnot LlamaIndex
- Instrumenting LLM apps with minimal code overheadnot LlamaIndex
- Continuous evaluation and quality scoring of LLM outputsnot LlamaIndex
- Debugging LLM application issues with full trace visibilitynot LlamaIndex
- Integrating observability data into existing monitoring stacksnot LlamaIndex
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
LlamaIndex
- The free LlamaCloud plan includes 10K credits and has no pay as you go option, so work stops when credits run out
- Concurrent parse jobs are capped at 5 on Free and Starter, 20 on Pro and 100 on Enterprise
- Pay as you go spend is capped at $500 per month on Starter and $5,000 per month on Pro
- Enterprise SSO is Enterprise plan only
- Volume discounts on credits and 5x higher rate limits are Enterprise only
- SaaS or hybrid cloud deployment choice and a dedicated account manager are Enterprise only
- Enterprise pricing is by quote with no published rate
Traceloop
- Free tier limited to 50k spans per month and 24-hour retention, restricting production use
- Company acquisition by ServiceNow creates uncertainty about future roadmap
- Requires integration with separate observability platforms for visualization
- Less feature-rich than dedicated LLM evaluation platforms
Pricing, plan by plan
LlamaIndex
Free- FreeFree
- 10K monthly credits
- Basic parsing
- 5 concurrent jobs
- Starter$50/month
- 40K credits + pay-as-you-go
- Up to 400K credits
- 5 concurrent jobs
- Pro$500/month
- 400K credits + limited-time bonus
- 20 concurrent jobs
- Priority Slack support
- Enterprise$null/custom
- Custom volume discounts
- 5x higher rate limits
- SSO
Traceloop
Free- FreeFree
- 50,000 spans per month
- Up to 5 seats
- 24-hour data retention
- Enterprise$undefined/custom
- Unlimited spans per month
- Unlimited seats
- Custom data retention
Which should you pick?
Choose LlamaIndex if
- You need data connectors.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want indexing.
Choose Traceloop if
- You need open-source sdk (openllmetry).
- You want to start without paying.
- You work on Cloud, On-premises, Air-gapped, Python, TypeScript, Go, Ruby.
- You also want multi-provider support.
Questions people ask
- Is LlamaIndex or Traceloop better?
- Neither clearly leads. LlamaIndex starts at Free and Traceloop at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, LlamaIndex or Traceloop?
- LlamaIndex starts at Free and Traceloop at Free.
- Does LlamaIndex or Traceloop run on more platforms?
- LlamaIndex runs on Linux, Mac, Windows. Traceloop runs on Cloud, On-premises, Air-gapped, Python, TypeScript, Go, Ruby.
- Can I use LlamaIndex for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is LlamaIndex best used for?
- LlamaIndex is most often used for parsing pdfs and complex documents into structured text for rag, building retrieval augmented generation pipelines over private data, indexing and querying enterprise documents from an llm application. Of those, parsing pdfs and complex documents into structured text for rag and building retrieval augmented generation pipelines over private data are not what Traceloop is typically brought in for.
- What can LlamaIndex do that Traceloop cannot?
- LlamaIndex covers Data connectors, Indexing, Query engine, RAG pipelines. Traceloop covers Open-source SDK (OpenLLMetry), Multi-provider support, Observability platform integration, Framework support.
Answered from the vendors’ own pages
LlamaIndex: How much does LlamaIndex (LlamaParse) cost?
LlamaIndex offers a Free plan with 10K monthly credits at $0/month. The Starter plan is $50/month for 40K credits plus pay-as-you-go overage up to 400K total. The Pro plan is $500/month for 400K credits. Credits are priced at 1,000 credits for $1.25.
SourceTraceloop: Is OpenLLMetry open-source?
Yes, OpenLLMetry is Traceloop's open-source SDK built on OpenTelemetry standards. It allows teams to instrument LLM applications with just 2 lines of code and send data to 25+ observability platforms.
SourceLlamaIndex: Is LlamaIndex free?
Yes, LlamaIndex offers a free plan with 10K monthly credits, basic parsing, 5 concurrent jobs, and support for up to 100 users with no upfront payment required.
SourceTraceloop: What is the impact of ServiceNow acquisition?
Traceloop is joining ServiceNow, representing a strategic acquisition that will broaden enterprise adoption and integration capabilities. Current operations continue with free and enterprise options available.
SourceLlamaIndex: What are LlamaIndex's concurrent job limits?
The Free and Starter plans allow 5 concurrent jobs. The Pro plan increases this to 20 concurrent jobs. Enterprise plans offer custom configurations with 5x higher rate limits.
SourceTraceloop: How many LLM providers and frameworks does Traceloop support?
Traceloop supports 20+ LLM providers including OpenAI and Anthropic, and integrates with frameworks like LangChain and LlamaIndex. It can send data to 25+ observability platforms.
SourceRelated pages
Other head to heads
- LlamaIndex vs Haystack
- LlamaIndex vs Google Vertex AI
- LlamaIndex vs AWS SageMaker
- LlamaIndex vs DataRobot
- LlamaIndex vs Azure Machine Learning
- LlamaIndex vs LangChain
- LlamaIndex vs Pinecone
- LlamaIndex vs H2O.ai
- LlamaIndex vs Hugging Face
- LlamaIndex vs Ray
- LlamaIndex vs MATLAB
- LlamaIndex vs Palantir Foundry
- LlamaIndex vs Python
- LlamaIndex vs PyTorch
- LlamaIndex vs scikit-learn
- LlamaIndex vs Apache Spark MLlib
- LlamaIndex vs Semantic Kernel
- LlamaIndex vs New Relic
- LlamaIndex vs InfluxDB
- LlamaIndex vs Checkly
- LlamaIndex vs Cronitor
- LlamaIndex vs Healthchecks
- LlamaIndex vs Uptime.com
- LlamaIndex vs Rootly
- LlamaIndex vs FireHydrant
- LlamaIndex vs incident.io
- LlamaIndex vs ELK Stack
- LlamaIndex vs Fluentd
- LlamaIndex vs Graylog
- LlamaIndex vs Loggly
- LlamaIndex vs Logz.io
- LlamaIndex vs Loki
- LlamaIndex vs Mezmo
- LlamaIndex vs Kibana
- LlamaIndex vs Logstash
- Traceloop vs Haystack
- Traceloop vs Google Vertex AI
- Traceloop vs AWS SageMaker
- Traceloop vs DataRobot
- Traceloop vs Azure Machine Learning
- Traceloop vs LangChain
- Traceloop vs Pinecone
- Traceloop vs H2O.ai
- Traceloop vs Hugging Face
- Traceloop vs Ray
- Traceloop vs MATLAB
- Traceloop vs Palantir Foundry
- Traceloop vs Python
- Traceloop vs PyTorch
- Traceloop vs scikit-learn
- Traceloop vs Apache Spark MLlib
- Traceloop vs Semantic Kernel
- Traceloop vs New Relic
- Traceloop vs InfluxDB
- Traceloop vs Checkly
- Traceloop vs Cronitor
- Traceloop vs Healthchecks
- Traceloop vs Uptime.com
- Traceloop vs Rootly
- Traceloop vs FireHydrant
- Traceloop vs incident.io
- Traceloop vs ELK Stack
- Traceloop vs Fluentd
- Traceloop vs Graylog
- Traceloop vs Loggly
- Traceloop vs Logz.io
- Traceloop vs Loki
- Traceloop vs Mezmo
- Traceloop vs Kibana
- Traceloop vs Logstash

