Databases · head to head
Apache Solr vs Weaviate

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; Weaviate the free tier caps at 100,000 objects, 1 GB of memory and a single collection
- They diverge on capability: Apache Solr covers Lucene-based indexing, Weaviate covers Vector and keyword search.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Apache Solr and Weaviate actually diverge.
| Attribute | Apache Solr | Weaviate |
|---|---|---|
| Pricing model | Open source, no licence fee | freemium |
| Platforms | Linux, Docker, Kubernetes, Self-hosted | Linux, Mac, Windows, Web |
| Category | Databases | Machine Learning |
| Founded | Unknown | 2019 |
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 Weaviate
- Vector and keyword search
- Built-in vectorizers
- GraphQL API
- Multi-tenancy
- Hybrid search
- OpenAI
- Hugging Face
- Cohere
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 Weaviate
- Long-lived enterprise deployments valuing stability over noveltynot Weaviate
- Search requiring precise, explicitly configured relevance tuningnot Weaviate
Weaviate
- Running a vector database for semantic and hybrid searchnot Apache Solr
- Generating and storing embeddings alongside the objects they describenot 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
Weaviate
- The free tier caps at 100,000 objects, 1 GB of memory and a single collection
- Billing is per million vector dimensions rather than per record, so wider embeddings cost proportionally more for the same object count
- Premium is a prepaid contract starting at $400 a month rather than pay as you go
- Storage rates do not fall consistently with tier, and Premium Dedicated is $0.1505 per GiB against $0.12 on the cheaper Flex plan
- The Query Agent is metered separately, free to 1,000 requests a month and $30 a month plus overage beyond
Pricing, plan by plan
Apache Solr
Free- Apache SolrFree
- Full functionality
- No usage limits
- Community support
Weaviate
Free- Open SourceFree
- Full features
- Self-hosted
- ServerlessFree
- Managed service
- Auto-scaling
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 Weaviate if
- You need vector and keyword search.
- You want to start without paying.
- You work on Linux, Mac, Windows, Web.
- You also want built-in vectorizers.
Questions people ask
- Is Apache Solr or Weaviate better?
- Neither clearly leads. Apache Solr starts at Free and Weaviate at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Apache Solr or Weaviate?
- Apache Solr starts at Free and Weaviate at Free.
- Does Apache Solr or Weaviate run on more platforms?
- Apache Solr runs on Linux, Docker, Kubernetes, Self-hosted. Weaviate 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 Weaviate is typically brought in for.
- What can Apache Solr do that Weaviate cannot?
- Apache Solr covers Lucene-based indexing, Faceted search, SolrCloud, Schema control. Weaviate covers Vector and keyword search, Built-in vectorizers, GraphQL API, Multi-tenancy.
Answered from the vendors’ own pages
Apache Solr: Is Apache Solr free?
Yes, open source under the Apache Software Foundation.
Weaviate: What pricing options does Weaviate offer?
Weaviate provides a free tier with usage-based pricing, plus enterprise options. Visit the pricing page for detailed information on plans.
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.
Weaviate: Does Weaviate offer customer support?
Yes, support is included with Weaviate's cloud offerings. Enterprise customers receive first-class support from their global team of experts.
SourceApache Solr: Is Solr still maintained?
Yes, actively, as a top-level Apache project.
Weaviate: Can I deploy Weaviate on my own infrastructure?
Yes. Weaviate is open source and deployment-agnostic. You can run it in your own cloud environment or use their managed cloud service.
SourceWeaviate: What data security features does Weaviate provide?
Weaviate includes security & governance, RBAC, SOC 2 and HIPAA compliance, along with multi-tenancy and high availability for enterprise requirements.
SourceWeaviate: How do I get started with Weaviate?
Sign up for their cloud tier, create your first dataset, connect an LLM, and build your AI app. Documentation and quickstart guides are available for Python, Go, TypeScript, and JavaScript.
SourceRelated pages
More on Apache Solr
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- Weaviate vs PostgreSQL
- Weaviate vs Typesense
- Weaviate vs TIBCO Enterprise Message Service
- Weaviate vs Solace PubSub+
- Weaviate vs RabbitMQ
- Weaviate vs Couchbase
- Weaviate vs MariaDB
- Weaviate vs Microsoft SQL Server
- Weaviate vs IBM Db2
- Weaviate vs Marqo
- Weaviate vs Nile
- Weaviate vs Ninox
- Weaviate vs Presto
- Weaviate vs Privacera
- Weaviate vs RavenDB
- Weaviate vs AWS SageMaker
- Weaviate vs Google Vertex AI
- Weaviate vs Azure Machine Learning
- Weaviate vs DataRobot
- Weaviate vs Milvus
- Weaviate vs Pinecone
- Weaviate vs Ray
- Weaviate vs Jupyter
- Weaviate vs Cohere
- Weaviate vs Ollama
- Weaviate vs OpenRouter
- Weaviate vs Orange
- Weaviate vs Pachyderm
- Weaviate vs RapidMiner
- Weaviate vs Amazon Redshift ML
- Weaviate vs BigQuery ML
- Weaviate vs Semantic Kernel

