Databases · head to head
Apache Solr vs Meilisearch

Apache Solr
Databases
Enterprise search platform built on Apache Lucene
- From
- Free
- Rated
- -

Meilisearch
Databases
Fast open-source search engine built for typo tolerance
- 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; Meilisearch not built for log analytics or aggregation-heavy workloads, which is where Elasticsearch remains the answer
- They diverge on capability: Apache Solr covers Lucene-based indexing, Meilisearch covers Typo tolerance.
Where they differ
Only the attributes on which Apache Solr and Meilisearch actually diverge.
| Attribute | Apache Solr | Meilisearch |
|---|---|---|
| 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
- SolrCloud
- Schema control
Only in Meilisearch
- Typo tolerance
- Search as you type
- Simple API
Both cover
- Faceted search
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 Meilisearch
- Long-lived enterprise deployments valuing stability over noveltynot Meilisearch
- Search requiring precise, explicitly configured relevance tuningnot Meilisearch
Meilisearch
- Adding product or content search to an application without running Elasticsearchnot Apache Solr
- Search-as-you-type interfaces where latency is visible to the usernot Apache Solr
- Replacing SQL LIKE queries that cannot handle typos or rankingnot 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
Meilisearch
- Not built for log analytics or aggregation-heavy workloads, which is where Elasticsearch remains the answer
- Scaling across many nodes is less mature than the older engines it competes with
- Memory use grows with index size, and large datasets need real capacity planning
Pricing, plan by plan
Apache Solr
Free- Apache SolrFree
- Full functionality
- No usage limits
- Community support
Meilisearch
Free- MeilisearchFree
- 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 solrcloud.
Choose Meilisearch if
- You need typo tolerance.
- You want to start without paying.
- You work on Linux, macOS, Windows, Docker, Self-hosted.
- You also want search as you type.
Questions people ask
- Is Apache Solr or Meilisearch better?
- Neither clearly leads. Apache Solr starts at Free and Meilisearch at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Apache Solr or Meilisearch?
- Apache Solr starts at Free and Meilisearch at Free.
- Does Apache Solr or Meilisearch run on more platforms?
- Apache Solr runs on Linux, Docker, Kubernetes, Self-hosted. Meilisearch 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 Meilisearch is typically brought in for.
- What can Apache Solr do that Meilisearch cannot?
- Apache Solr covers Lucene-based indexing, SolrCloud, Schema control. Meilisearch covers Typo tolerance, Search as you type, Simple API. Both handle Faceted search.
Answered from the vendors’ own pages
Apache Solr: Is Apache Solr free?
Yes, open source under the Apache Software Foundation.
Meilisearch: Is Meilisearch free?
The engine is open source and free to self-host. Meilisearch Cloud is a paid managed service.
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.
Meilisearch: Meilisearch or Elasticsearch?
Meilisearch is far simpler for application search and works well by default. Elasticsearch is the choice when you also need log analytics and heavy aggregations.
Apache Solr: Is Solr still maintained?
Yes, actively, as a top-level Apache project.
Meilisearch: Does it handle typos automatically?
Yes. Typo tolerance is on by default rather than something you configure.
Related pages
More on Apache Solr
More on Meilisearch
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