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Databases · head to head

Valkey vs Apache Solr

Valkey logo

Valkey

Databases

Open-source in-memory data store forked from Redis

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: Valkey younger project, so its track record is short even though the codebase is not; Apache Solr xML-heavy configuration and a developer experience that feels dated beside newer engines
  • They diverge on capability: Valkey covers Redis-compatible, Apache Solr covers Lucene-based indexing.

Where they differ

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

Attributes where Valkey and Apache Solr differ
AttributeValkeyApache Solr
Pricing modelOpen source, no licence fee; managed cloud billed separatelyOpen source, no licence fee
PlatformsLinux, macOS, Docker, Self-hostedLinux, Docker, Kubernetes, 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 Valkey

  • Redis-compatible
  • BSD licensed
  • Rich data structures
  • Replication and persistence

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.

Valkey

  • Continuing on a permissively licensed in-memory store after the Redis licence changenot Apache Solr
  • Caching and session storage where a foundation-governed project is a procurement requirementnot Apache Solr
  • Migrating from Redis without rewriting application codenot Apache Solr

Apache Solr

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

Where each one falls short

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

Valkey

  • Younger project, so its track record is short even though the codebase is not
  • Divergence from Redis grows over time, so compatibility is strongest near the fork point and weakens as both evolve
  • Ecosystem tooling and documentation still frequently assume Redis, leaving translation work

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

Valkey

Free
  • ValkeyFree
    • Full functionality
    • Self-hosted
    • No usage limits

Apache Solr

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

Which should you pick?

Choose Valkey if

  • You need redis-compatible.
  • You want to start without paying.
  • You work on Linux, macOS, Docker, Self-hosted.
  • You also want bsd licensed.
Valkey 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 Valkey or Apache Solr better?
Neither clearly leads. Valkey 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, Valkey or Apache Solr?
Valkey starts at Free and Apache Solr at Free.
Does Valkey or Apache Solr run on more platforms?
Valkey runs on Linux, macOS, Docker, Self-hosted. Apache Solr runs on Linux, Docker, Kubernetes, Self-hosted.
Can I use Valkey for free?
Both have a free tier, so you can try either at no cost before committing.
What is Valkey best used for?
Valkey is most often used for continuing on a permissively licensed in-memory store after the redis licence change, caching and session storage where a foundation-governed project is a procurement requirement, migrating from redis without rewriting application code. Of those, continuing on a permissively licensed in-memory store after the redis licence change and caching and session storage where a foundation-governed project is a procurement requirement are not what Apache Solr is typically brought in for.
What can Valkey do that Apache Solr cannot?
Valkey covers Redis-compatible, BSD licensed, Rich data structures, Replication and persistence. Apache Solr covers Lucene-based indexing, Faceted search, SolrCloud, Schema control.

Answered from the vendors’ own pages

Valkey: Is Valkey free?

Yes, BSD-licensed open source under the Linux Foundation.

Apache Solr: Is Apache Solr free?

Yes, open source under the Apache Software Foundation.

Valkey: Why does Valkey exist?

Redis changed its licence away from BSD in 2024. Valkey is the community fork continuing under permissive terms, backed by AWS, Google Cloud and Oracle among others.

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.

Valkey: Can I switch from Redis to Valkey?

At the fork point it is drop-in compatible with existing clients and data. The further both projects move from that point, the more you should verify the specific features you use.

Apache Solr: Is Solr still maintained?

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

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