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Databases · head to head

Apache Solr vs Quantum Metric

Apache Solr logo

Apache Solr

Databases

Enterprise search platform built on Apache Lucene

From
Free
Rated
-
Quantum Metric logo

Quantum Metric

Business Intelligence

Continuous product design platform

From
On request
Rated
-

The short version

  • Only Apache Solr has a free tier, so it costs nothing to try first.
  • Each has a real cost: Apache Solr xML-heavy configuration and a developer experience that feels dated beside newer engines; Quantum Metric only enterprise plans are offered and the pricing page publishes no rate, no session volume tier and no minimum
  • They diverge on capability: Apache Solr covers Lucene-based indexing, Quantum Metric covers Session Replay.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Apache Solr and Quantum Metric actually diverge.

Attributes where Apache Solr and Quantum Metric differ
AttributeApache SolrQuantum Metric
Starting priceFreeOn request
Pricing modelOpen source, no licence feesubscription
Free tierYesNo
PlatformsLinux, Docker, Kubernetes, Self-hostedWeb, Mobile
CategoryDatabasesBusiness Intelligence
FoundedUnknown2015

Identical on both: 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 Quantum Metric

  • Session Replay
  • Opportunity Analysis
  • Anomaly Detection
  • Real-time Alerts
  • Impact Scoring
  • Adobe Analytics
  • Google Analytics
  • Salesforce

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

Quantum Metric

  • Session replay and digital experience analytics for large web and mobile propertiesnot Apache Solr
  • Quantifying friction and conversion loss in checkout and signup flowsnot Apache Solr
  • Streaming behavioural insights into a data warehousenot 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

Quantum Metric

  • Only enterprise plans are offered and the pricing page publishes no rate, no session volume tier and no minimum
  • The page states plans are built around your business, with the only routes being a personalised discussion, a live demo or product tours
  • There is no self-serve tier, free plan or trial published

Pricing, plan by plan

Apache Solr

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

Quantum Metric

On request
  • CustomFree
    • Full Platform
    • Real-time Analytics
    • Enterprise Support

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 Quantum Metric if

  • You need session replay.
  • You work on Web, Mobile.
  • You also want opportunity analysis.

Questions people ask

Is Apache Solr or Quantum Metric better?
Neither clearly leads. Apache Solr starts at Free and Quantum Metric at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Solr or Quantum Metric?
Apache Solr has a free tier; the other does not. Paid plans start at Free for Apache Solr and On request for Quantum Metric.
Does Apache Solr or Quantum Metric run on more platforms?
Apache Solr runs on Linux, Docker, Kubernetes, Self-hosted. Quantum Metric runs on Web, Mobile.
Can I use Apache Solr for free?
Yes. Apache Solr has a free tier, so you can try it without paying. Quantum Metric starts at On request.
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 Quantum Metric is typically brought in for.
What can Apache Solr do that Quantum Metric cannot?
Apache Solr covers Lucene-based indexing, Faceted search, SolrCloud, Schema control. Quantum Metric covers Session Replay, Opportunity Analysis, Anomaly Detection, Real-time Alerts.

Answered from the vendors’ own pages

Apache Solr: Is Apache Solr free?

Yes, open source under the Apache Software Foundation.

Quantum Metric: How much does Quantum Metric cost?

Quantum Metric uses custom pricing based on annual session volume, number of digital properties monitored, and product add-ons. Exact costs require contacting the sales team.

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.

Quantum Metric: Does Quantum Metric offer a free trial?

The pricing page does not mention a free trial option. Interested parties must request a demo to discuss pricing and obtain a custom quote.

Source
Apache Solr: Is Solr still maintained?

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

Quantum Metric: What factors affect Quantum Metric pricing?

Pricing scales with digital properties (websites and applications monitored), session volume (data collected and analyzed), and customer success tier selected. Add-on products like employee experience, data enrichment, and data streaming have separate pricing considerations.

Source
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