In this Apache Solr vs. Elasticsearch comparison, we will discuss 5 key differences between these two popular search engines.

Elasticsearch and Solr are both industry-standard search engines for large datasets. While both are capable of querying relevant search results in a record time, there are some key differences between these two technologies that you should know about to help you make the best choice for your use case.

Follow along with this Solr vs. Elasticsearch comparison to learn about:

• Solr vs Elasticsearch cost
• Solr vs Elasticsearch performance
• Sharding in Solr vs. Elasticsearch
• How to Monitor both Solr and Elasticsearch

👉For professional consulting for Solr or Elasticsearch: https://sematext.com/consulting/

👉Sematext Monitoring Tools:https://sematext.com/cloud/

Additional reading:
📚Getting started with Solr: https://sematext.com/guides/solr/
📚Getting started with Elasticsearch: https://sematext.com/guides/elasticsearch/
📚 In-depth Solr vs Elasticsearch comparison: https://sematext.com/blog/solr-vs-elasticsearch-differences/ ?utm_source=youtube.com&utm_medium=video&utm_campaign=es_vs_solr
📚 Cross-joining Data: https://sematext.com/blog/solr-6-datacenter-replication/

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Chapters:

0:00 ⏩ Intro

0:34 ⏩Commonalities Between Solr and Elasticsearch

1:05 ⏩Difference #1- Opensource

2:49 ⏩Difference #2- Shard Placement & Auto-Scaling

3:44 ⏩Difference #3- DevOps Friendly

4:54 ⏩Difference #4- Analytics Engine

6:10 ⏩Difference #5- Data Discovery & Cross-Joins

6:49 ⏩Difference #6- Ecosystems

8:00 ⏩Conclusion & Outro