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Databases · head to head

Zilliz vs Apache Solr

Zilliz logo

Zilliz

Databases

Managed vector database and vector lakebase for AI applications

From
Free
Rated
-
Full reviewWebsite
Apache Solr logo

Apache Solr

Databases

Enterprise search platform built on Apache Lucene

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Zilliz pricing structure not publicly disclosed, requires sales contact; Apache Solr xML-heavy configuration and a developer experience that feels dated beside newer engines
  • They diverge on capability: Zilliz covers Vector indexing, Apache Solr covers Lucene-based indexing.

Where they differ

Only the attributes on which Zilliz and Apache Solr actually diverge.

Attributes where Zilliz and Apache Solr differ
AttributeZillizApache Solr
Pricing modelcontact-salesOpen source, no licence fee
PlatformsCloud, Self-hostedLinux, Docker, Kubernetes, Self-hosted
Founded2017Unknown

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 Zilliz

  • Vector indexing
  • Distributed architecture
  • SQL interface
  • Tensor support
  • Real-time search
  • Cloud-native
  • Open-source compatible

Only in Apache Solr

  • Lucene-based indexing
  • Faceted search
  • SolrCloud
  • Schema control

What people use each for

The jobs each tool is most often brought in to do.

Zilliz

  • Build retrieval-augmented generation (RAG) systemsnot Apache Solr
  • Implement semantic search over documentsnot Apache Solr
  • Create multimodal search with text and imagesnot Apache Solr
  • Power recommendation engines with vector similaritynot Apache Solr
  • Enable similarity search on user embeddingsnot Apache Solr

Apache Solr

  • Library, archive and catalogue search where faceting is centralnot Zilliz
  • Long-lived enterprise deployments valuing stability over noveltynot Zilliz
  • Search requiring precise, explicitly configured relevance tuningnot Zilliz

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Zilliz

  • Pricing structure not publicly disclosed, requires sales contact
  • Operational complexity for self-hosted Milvus deployments
  • Learning curve for those unfamiliar with vector databases
  • Limited built-in analytics compared to some alternatives

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

Pricing, plan by plan

Zilliz

Free

No published plan breakdown. See the Zilliz review.

Apache Solr

Free
  • Apache SolrFree
    • Full functionality
    • No usage limits
    • Community support

Which should you pick?

Choose Zilliz if

  • You need vector indexing.
  • You want to start without paying.
  • You work on Cloud, Self-hosted.
  • You also want distributed architecture.
Zilliz review

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.
Apache Solr review

Questions people ask

Is Zilliz or Apache Solr better?
Neither clearly leads. Zilliz starts at Free and Apache Solr at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Zilliz or Apache Solr?
Zilliz starts at Free and Apache Solr at Free.
Does Zilliz or Apache Solr run on more platforms?
Zilliz runs on Cloud, Self-hosted. Apache Solr runs on Linux, Docker, Kubernetes, Self-hosted.
Can I use Zilliz for free?
Both have a free tier, so you can try either at no cost before committing.
What is Zilliz best used for?
Zilliz is most often used for build retrieval-augmented generation (rag) systems, implement semantic search over documents, create multimodal search with text and images, power recommendation engines with vector similarity. Of those, build retrieval-augmented generation (rag) systems and implement semantic search over documents are not what Apache Solr is typically brought in for.
What can Zilliz do that Apache Solr cannot?
Zilliz covers Vector indexing, Distributed architecture, SQL interface, Tensor support. Apache Solr covers Lucene-based indexing, Faceted search, SolrCloud, Schema control.

Answered from the vendors’ own pages

Zilliz: What is the difference between Milvus and Zilliz Cloud?

Milvus is the open-source vector database that you can self-host. Zilliz Cloud is the fully managed service built on Milvus that removes operational overhead and handles scaling automatically.

Source
Apache Solr: Is Apache Solr free?

Yes, open source under the Apache Software Foundation.

Zilliz: How many vectors can Zilliz handle?

Milvus and Zilliz Cloud can store and search billions of vectors through their distributed architecture that separates storage and compute layers.

Source
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.

Zilliz: Is Milvus open-source?

Yes, Milvus is open-source under the Apache License 2.0 and is part of the LF AI & Data Foundation.

Source
Apache Solr: Is Solr still maintained?

Yes, actively, as a top-level Apache project.

Zilliz: What pricing does Zilliz Cloud offer?

Zilliz Cloud pricing is not publicly listed and requires contacting their team to discuss your specific scale and use case requirements.

Source
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