Databases · head to head
Apache Solr vs Milvus

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

Milvus
Machine Learning
Open-source vector database for scalable similarity search
- 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; Milvus vector dimensions are capped at 32,768
- They diverge on capability: Apache Solr covers Lucene-based indexing, Milvus covers Billion-scale vectors.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Apache Solr and Milvus actually diverge.
| Attribute | Apache Solr | Milvus |
|---|---|---|
| Pricing model | Open source, no licence fee | freemium |
| Platforms | Linux, Docker, Kubernetes, Self-hosted | Linux, Mac, Windows, Web |
| Category | Databases | Machine Learning |
| Founded | Unknown | 2017 |
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 Apache Solr
- Lucene-based indexing
- Faceted search
- SolrCloud
- Schema control
Only in Milvus
- Billion-scale vectors
- Multiple index types
- GPU acceleration
- Hybrid search
- Data partitioning
- PyTorch
- TensorFlow
- Hugging Face
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 Milvus
- Long-lived enterprise deployments valuing stability over noveltynot Milvus
- Search requiring precise, explicitly configured relevance tuningnot Milvus
Milvus
- Self hosting a vector database for semantic searchnot Apache Solr
- Storing and querying embeddings for retrieval augmented generationnot Apache Solr
- Similarity search over images, audio or text at scalenot 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
Milvus
- Vector dimensions are capped at 32,768
- A collection is limited to 64 fields, 1,024 partitions and 16 shards
- Only 1 index is allowed per field
- Search returns at most 16,384 vectors as top-k, and nq is capped at 16,384
- Input and output per RPC is capped at 64 MB for insert, search and query
- VARCHAR values are limited to 65,535 characters
- Data loaded into query nodes cannot exceed 90% of available memory
- An instance supports at most 65,536 collections
Pricing, plan by plan
Apache Solr
Free- Apache SolrFree
- Full functionality
- No usage limits
- Community support
Milvus
Free- Open SourceFree
- Full features
- Self-hosted
- Community support
- Zilliz CloudFree
- Managed service
- Free tier available
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 Milvus if
- You need billion-scale vectors.
- You want to start without paying.
- You work on Linux, Mac, Windows, Web.
- You also want multiple index types.
Questions people ask
- Is Apache Solr or Milvus better?
- Neither clearly leads. Apache Solr starts at Free and Milvus at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Apache Solr or Milvus?
- Apache Solr starts at Free and Milvus at Free.
- Does Apache Solr or Milvus run on more platforms?
- Apache Solr runs on Linux, Docker, Kubernetes, Self-hosted. Milvus runs on Linux, Mac, Windows, Web.
- 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 Milvus is typically brought in for.
- What can Apache Solr do that Milvus cannot?
- Apache Solr covers Lucene-based indexing, Faceted search, SolrCloud, Schema control. Milvus covers Billion-scale vectors, Multiple index types, GPU acceleration, Hybrid search.
Answered from the vendors’ own pages
Apache Solr: Is Apache Solr free?
Yes, open source under the Apache Software Foundation.
Milvus: How much does Milvus cost?
Milvus is open-source and free to use and modify. The self-hosted version has no licensing cost. Zilliz Cloud (the managed SaaS version) does not publish pricing on the website.
SourceApache 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.
Milvus: Is there a free or open-source version of Milvus?
Yes, Milvus is fully open-source and available for free. Milvus Lite is a lightweight option for learning and prototyping that can be installed via pip.
SourceApache Solr: Is Solr still maintained?
Yes, actively, as a top-level Apache project.
Milvus: Does Milvus offer a managed cloud service?
Yes, Zilliz Cloud is a fully managed Milvus cloud offering with serverless and dedicated cluster options. Pricing must be requested from the company as it is not listed on the public website.
SourceRelated pages
More on Apache Solr
Other head to heads
- Apache Solr vs Meilisearch
- Apache Solr vs OpenSearch
- Apache Solr vs Elasticsearch
- Apache Solr vs PostgreSQL
- Apache Solr vs Typesense
- Apache Solr vs TIBCO Enterprise Message Service
- Apache Solr vs Solace PubSub+
- Apache Solr vs RabbitMQ
- Apache Solr vs Couchbase
- Apache Solr vs MariaDB
- Apache Solr vs Microsoft SQL Server
- Apache Solr vs IBM Db2
- Apache Solr vs Marqo
- Apache Solr vs Nile
- Apache Solr vs Ninox
- Apache Solr vs Presto
- Apache Solr vs Privacera
- Apache Solr vs RavenDB
- Apache Solr vs Google Vertex AI
- Apache Solr vs AWS SageMaker
- Apache Solr vs Azure Machine Learning
- Apache Solr vs DataRobot
- Apache Solr vs Pinecone
- Apache Solr vs Weaviate
- Apache Solr vs Ray
- Apache Solr vs Fal AI
- Apache Solr vs Jupyter
- Apache Solr vs Keras
- Apache Solr vs LangChain
- Apache Solr vs Weights & Biases
- Apache Solr vs Alteryx
- Apache Solr vs Anaconda
- Apache Solr vs Domino Data Lab
- Apache Solr vs DVC
- Apache Solr vs Semantic Kernel
- Milvus vs Meilisearch
- Milvus vs OpenSearch
- Milvus vs Elasticsearch
- Milvus vs PostgreSQL
- Milvus vs Typesense
- Milvus vs TIBCO Enterprise Message Service
- Milvus vs Solace PubSub+
- Milvus vs RabbitMQ
- Milvus vs Couchbase
- Milvus vs MariaDB
- Milvus vs Microsoft SQL Server
- Milvus vs IBM Db2
- Milvus vs Marqo
- Milvus vs Nile
- Milvus vs Ninox
- Milvus vs Presto
- Milvus vs Privacera
- Milvus vs RavenDB
- Milvus vs Google Vertex AI
- Milvus vs AWS SageMaker
- Milvus vs Azure Machine Learning
- Milvus vs DataRobot
- Milvus vs Pinecone
- Milvus vs Weaviate
- Milvus vs Ray
- Milvus vs Fal AI
- Milvus vs Jupyter
- Milvus vs Keras
- Milvus vs LangChain
- Milvus vs Weights & Biases
- Milvus vs Alteryx
- Milvus vs Anaconda
- Milvus vs Domino Data Lab
- Milvus vs DVC
- Milvus vs Semantic Kernel
