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Databases · head to head

Apache Solr vs OpenEBS

Apache Solr logo

Apache Solr

Databases

Enterprise search platform built on Apache Lucene

From
Free
Rated
-
Full reviewWebsite
OpenEBS logo

OpenEBS

Cloud

Open source container-attached storage for Kubernetes

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Apache Solr xML-heavy configuration and a developer experience that feels dated beside newer engines; OpenEBS there is no vendor on the other end of an incident unless you separately contract DataCore, so an outage at three in the morning is resolved by your own team and a public Slack channel.
  • They diverge on capability: Apache Solr covers Lucene-based indexing, OpenEBS covers Replicated engine.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

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

Attributes where Apache Solr and OpenEBS differ
AttributeApache SolrOpenEBS
PlatformsLinux, Docker, Kubernetes, Self-hostedLinux
CategoryDatabasesCloud

Identical on both: starting price (Free), pricing model (Open source, no licence fee), 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 OpenEBS

  • Replicated engine
  • Local PV engines
  • Kubernetes-native management
  • Snapshots and clones
  • No licence fee
  • Hardware independence

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 OpenEBS
  • Long-lived enterprise deployments valuing stability over noveltynot OpenEBS
  • Search requiring precise, explicitly configured relevance tuningnot OpenEBS

OpenEBS

  • Running Cassandra or Kafka on Kubernetes where the application already replicates and node-local volumes are sufficientnot Apache Solr
  • A platform team that needs persistent volumes on bare metal Kubernetes without a per node subscriptionnot Apache Solr
  • An edge or lab deployment where a commercial storage licence cannot be justifiednot Apache Solr
  • Replacing hostpath volumes with something that has snapshots and a Container Storage Interface drivernot 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

OpenEBS

  • There is no vendor on the other end of an incident unless you separately contract DataCore, so an outage at three in the morning is resolved by your own team and a public Slack channel.
  • The project has several storage engines with different maturity and different operational characteristics, and choosing the wrong one for your workload produces poor results that look like a product failure.
  • Documentation and upgrade guidance assume real Kubernetes storage knowledge, so teams without that expertise underestimate the operational load they are taking on.
  • Project governance shifted after DataCore acquired MayaData in 2021, which means the direction of a supposedly neutral project is influenced by one commercial sponsor.
  • Disaster recovery, cross-cluster replication and policy-driven data services are thinner than in the commercial alternatives, so organisations with those requirements end up building them or buying a product anyway.

Pricing, plan by plan

Apache Solr

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

OpenEBS

Free
  • OpenEBSFree
    • Apache 2.0 licensed
    • All storage engines included
    • No node or capacity 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 faceted search.
Apache Solr review

Choose OpenEBS if

  • You need replicated engine.
  • You want to start without paying.
  • You work on Linux.
  • You also want local pv engines.
OpenEBS review

Questions people ask

Is Apache Solr or OpenEBS better?
Neither clearly leads. Apache Solr starts at Free and OpenEBS at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Solr or OpenEBS?
Apache Solr starts at Free and OpenEBS at Free.
Does Apache Solr or OpenEBS run on more platforms?
Apache Solr runs on Linux, Docker, Kubernetes, Self-hosted. OpenEBS runs on Linux.
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 OpenEBS is typically brought in for.
What can Apache Solr do that OpenEBS cannot?
Apache Solr covers Lucene-based indexing, Faceted search, SolrCloud, Schema control. OpenEBS covers Replicated engine, Local PV engines, Kubernetes-native management, Snapshots and clones.

Answered from the vendors’ own pages

Apache Solr: Is Apache Solr free?

Yes, open source under the Apache Software Foundation.

OpenEBS: Who supports it in production?

The project is community supported. Commercial support is available from DataCore, which acquired the original sponsor MayaData in 2021. Establish that relationship before production, not during an incident.

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.

OpenEBS: Which engine should we use?

If your application replicates its own data, use a Local engine and avoid replicating twice. If it does not, such as with PostgreSQL, use the Replicated engine.

Apache Solr: Is Solr still maintained?

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

OpenEBS: Does it cost anything?

No licence fee. The cost is operational, and a support contract if you want someone accountable.

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