Machine Learning · head to head
LlamaIndex vs Memcached
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; Memcached no persistence at all: restart a node and its cache is gone, which every design must assume
- They diverge on capability: LlamaIndex covers Data connectors, Memcached covers In-memory key-value cache.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which LlamaIndex and Memcached actually diverge.
| Attribute | LlamaIndex | Memcached |
|---|---|---|
| Pricing model | usage-based | Open source, no licence fee; managed cloud billed separately |
| Platforms | Linux, Mac, Windows | Linux, macOS, Windows, Docker, Self-hosted |
| Category | Machine Learning | Databases |
| 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 Memcached
- In-memory key-value cache
- Multithreaded
- Client-side sharding
- Predictable memory use
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 Memcached
- Building retrieval augmented generation pipelines over private datanot Memcached
- Indexing and querying enterprise documents from an LLM applicationnot Memcached
Memcached
- Caching expensive database query results to cut loadnot LlamaIndex
- Session storage where losing sessions on restart is acceptablenot LlamaIndex
- Fronting an API whose responses are costly and change slowlynot 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
Memcached
- No persistence at all: restart a node and its cache is gone, which every design must assume
- No replication or failover, so losing a node loses that share of the cache
- Only simple key-value, with none of the lists, sorted sets or streams Redis offers
- Values are capped at 1MB by default, which surprises teams caching large documents
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
Memcached
Free- MemcachedFree
- Full functionality
- Self-hosted
- No usage limits
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 Memcached if
- You need in-memory key-value cache.
- You want to start without paying.
- You work on Linux, macOS, Windows, Docker, Self-hosted.
- You also want multithreaded.
Questions people ask
- Is LlamaIndex or Memcached better?
- Neither clearly leads. LlamaIndex starts at Free and Memcached at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, LlamaIndex or Memcached?
- LlamaIndex starts at Free and Memcached at Free.
- Does LlamaIndex or Memcached run on more platforms?
- LlamaIndex runs on Linux, Mac, Windows. Memcached runs on Linux, macOS, Windows, Docker, Self-hosted.
- 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 Memcached is typically brought in for.
- What can LlamaIndex do that Memcached cannot?
- LlamaIndex covers Data connectors, Indexing, Query engine, RAG pipelines. Memcached covers In-memory key-value cache, Multithreaded, Client-side sharding, Predictable memory use.
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.
SourceMemcached: Is Memcached free?
Yes, open source with no licence fee.
LlamaIndex: 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.
SourceMemcached: Memcached or Redis?
Memcached is a pure cache: simpler, multithreaded and very predictable. Redis adds persistence, replication and rich data structures, which is why it is the default choice unless you specifically want a cache and nothing more.
LlamaIndex: 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.
SourceMemcached: Does Memcached persist data?
No. Everything is in memory and lost on restart, by design.
Related pages
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- Memcached vs Azure Machine Learning
- Memcached vs LangChain
- Memcached vs Pinecone
- Memcached vs H2O.ai
- Memcached vs Hugging Face
- Memcached vs Ray
- Memcached vs MATLAB
- Memcached vs Palantir Foundry
- Memcached vs Python
- Memcached vs PyTorch
- Memcached vs scikit-learn
- Memcached vs Apache Spark MLlib
- Memcached vs Semantic Kernel
- Memcached vs Dragonfly
- Memcached vs Valkey
- Memcached vs Readyset
- Memcached vs PostgreSQL
- Memcached vs DuckDB
- Memcached vs DynamoDB
- Memcached vs NATS
- Memcached vs Apache Pulsar
- Memcached vs Presto
- Memcached vs Timeplus
- Memcached vs RabbitMQ
- Memcached vs EMQX
- Memcached vs FaunaDB
- Memcached vs Firebase Realtime Database
- Memcached vs MotherDuck
- Memcached vs Neo4j
- Memcached vs Apache Kafka
- Memcached vs Firestore

