Databases · head to head
Apache Solr vs Memcached

Apache Solr
Databases
Enterprise search platform built on Apache Lucene
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Apache Solr xML-heavy configuration and a developer experience that feels dated beside newer engines; Memcached no persistence at all: restart a node and its cache is gone, which every design must assume
- They diverge on capability: Apache Solr covers Lucene-based indexing, 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 Apache Solr and Memcached actually diverge.
| Attribute | Apache Solr | Memcached |
|---|---|---|
| Pricing model | Open source, no licence fee | Open source, no licence fee; managed cloud billed separately |
| Platforms | Linux, Docker, Kubernetes, Self-hosted | Linux, macOS, Windows, Docker, Self-hosted |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Databases).
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 Apache Solr
- Lucene-based indexing
- Faceted search
- SolrCloud
- Schema control
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.
Apache Solr
- Library, archive and catalogue search where faceting is centralnot Memcached
- Long-lived enterprise deployments valuing stability over noveltynot Memcached
- Search requiring precise, explicitly configured relevance tuningnot Memcached
Memcached
- Caching expensive database query results to cut loadnot Apache Solr
- Session storage where losing sessions on restart is acceptablenot Apache Solr
- Fronting an API whose responses are costly and change slowlynot Apache Solr
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Apache Solr
- XML-heavy configuration and a developer experience that feels dated beside newer engines
- SolrCloud depends on ZooKeeper, adding a component Elasticsearch removed years ago
- Smaller mindshare now, so newer tutorials, hiring and integrations favour Elasticsearch
- Considerably heavier than a purpose-built application search engine
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
Apache Solr
Free- Apache SolrFree
- Full functionality
- No usage limits
- Community support
Memcached
Free- MemcachedFree
- Full functionality
- Self-hosted
- No usage limits
Which should you pick?
Choose Apache Solr if
- You need lucene-based indexing.
- You want to start without paying.
- You work on Linux, Docker, Kubernetes, Self-hosted.
- You also want faceted search.
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 Apache Solr or Memcached better?
- Neither clearly leads. Apache Solr 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, Apache Solr or Memcached?
- Apache Solr starts at Free and Memcached at Free.
- Does Apache Solr or Memcached run on more platforms?
- Apache Solr runs on Linux, Docker, Kubernetes, Self-hosted. Memcached runs on Linux, macOS, Windows, Docker, Self-hosted.
- Can I use Apache Solr for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Apache Solr best used for?
- Apache Solr is most often used for library, archive and catalogue search where faceting is central, long-lived enterprise deployments valuing stability over novelty, search requiring precise, explicitly configured relevance tuning. Of those, library, archive and catalogue search where faceting is central and long-lived enterprise deployments valuing stability over novelty are not what Memcached is typically brought in for.
- What can Apache Solr do that Memcached cannot?
- Apache Solr covers Lucene-based indexing, Faceted search, SolrCloud, Schema control. Memcached covers In-memory key-value cache, Multithreaded, Client-side sharding, Predictable memory use.
Answered from the vendors’ own pages
Apache Solr: Is Apache Solr free?
Yes, open source under the Apache Software Foundation.
Memcached: Is Memcached free?
Yes, open source with no licence fee.
Apache Solr: Solr or Elasticsearch?
Both are built on Lucene. Elasticsearch has the larger ecosystem and a friendlier API; Solr is very mature and strong on faceted search, and remains common in library and catalogue systems.
Memcached: 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.
Apache Solr: Is Solr still maintained?
Yes, actively, as a top-level Apache project.
Memcached: Does Memcached persist data?
No. Everything is in memory and lost on restart, by design.
Related pages
More on Apache Solr
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- Memcached vs Presto
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- Memcached vs Dragonfly
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